[go: up one dir, main page]

 
 

Topic Editors

Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Republic of Korea
Department of Energy Resources and Chemical Engineering, Kangwon National University, Samcheok 25913, Republic of Korea

Interdisciplinary Studies for Sustainable Mining

Abstract submission deadline
closed (31 December 2021)
Manuscript submission deadline
closed (31 May 2022)
Viewed by
88978

Topic Information

Dear Colleagues,

The concept of sustainability is increasingly being incorporated into the mining industry because mining is an activity that predominantly involves consuming the Earth’s limited resources. The economic, environmental, and social impacts of mining on our society continue to increase and are important issues for both present and future generations. To identify, discuss and solve these issues, a multidisciplinary approach is required to integrate the technical, economic, environmental, and social aspects of mining into decisions for sustainable development.

In this context, this Topic offers a framework for integrating interdisciplinary studies for sustainable mining. Topics of interest could include, but are not limited to:

  • Technical aspects for sustainable mining;
  • Sustainable management of mining operations;
  • Environmental impacts of mining;
  • Reforestation to restore mining areas;
  • Sustainable uses of land, energy, water and forest resources in mining areas;
  • Climate change and mining;
  • Emissions and carbon neutrality in the mining industry;
  • Recycling of mineral resources;
  • Economic aspects of mining;
  • Occupational health and safety;
  • Training and education;
  • Social aspects of mining on community life;
  • Corporate governance for sustainable mining;
  • Integrative models and frameworks for sustainable mining;
  • The Fourth Industrial Revolution and sustainable mining;
  • Future mining challenges.

Prof. Dr. Yosoon Choi
Dr. Sung-Min Kim
Topic Editors

Keywords

  • sustainability
  • sustainable mining
  • responsible mining
  • smart mining
  • renewables in mining
  • mine closures
  • mine reclamation
  • life cycle
  • carbon neutrality
  • climate change
  • community
  • economy
  • environment
  • safety
  • health
  • energy
  • water
  • The Fourth Industrial Revolution

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci
2.5 5.3 2011 17.8 Days CHF 2400
Mining
mining
- 2.8 2021 19.6 Days CHF 1000
Energies
energies
3.0 6.2 2008 17.5 Days CHF 2600
Forests
forests
2.4 4.4 2010 16.9 Days CHF 2600
Safety
safety
1.8 3.2 2015 27.3 Days CHF 1800

Preprints.org is a multidiscipline platform providing preprint service that is dedicated to sharing your research from the start and empowering your research journey.

MDPI Topics is cooperating with Preprints.org and has built a direct connection between MDPI journals and Preprints.org. Authors are encouraged to enjoy the benefits by posting a preprint at Preprints.org prior to publication:

  1. Immediately share your ideas ahead of publication and establish your research priority;
  2. Protect your idea from being stolen with this time-stamped preprint article;
  3. Enhance the exposure and impact of your research;
  4. Receive feedback from your peers in advance;
  5. Have it indexed in Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers (30 papers)

Order results
Result details
Journals
Select all
Export citation of selected articles as:
6 pages, 212 KiB  
Editorial
Interdisciplinary Studies for Sustainable Mining
by Yosoon Choi
Appl. Sci. 2023, 13(7), 4621; https://doi.org/10.3390/app13074621 - 6 Apr 2023
Cited by 2 | Viewed by 1508
Abstract
Mining is an essential sector for economic development, as it provides valuable resources that are crucial for modern living. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
16 pages, 4435 KiB  
Article
Environmental Characteristics of the Mining Area of Ni–Cu–Fe Paleoproterozoic PGE Monchepluton Intrusion (NE Scandinavia)
by Miłosz Huber, Stanisław Chmiel and Olga Iakovleva
Mining 2022, 2(4), 683-698; https://doi.org/10.3390/mining2040037 - 13 Oct 2022
Cited by 1 | Viewed by 2366
Abstract
The problem of dump recultivation associated with sulfide ore mining is always a challenge for ecologists. A special case is the Arctic, where the specific climate and short vegetative period mean that any traces of such activities can persist for many years. The [...] Read more.
The problem of dump recultivation associated with sulfide ore mining is always a challenge for ecologists. A special case is the Arctic, where the specific climate and short vegetative period mean that any traces of such activities can persist for many years. The Monchepluton massif is a Paleoproterozoic, layered Platinum Group Element (PGE) intrusion, which is located in NE Scandinavia, beyond the Arctic Circle. This intrusion is mainly composed of ultramafic and alkaline rocks, represented by dunites, harzburgites, orthopyroxenites, norites, and gabbronorites. In these rocks, there is mineralization of the oxide ores Cr, Fe, and Ti, as well as the sulfide ores Cu, Ni, Fe, and PGE. The massifs of this intrusion were mined in the 20th century. The traces of intensive mining in the area are still visible today. The purpose of this study was to demonstrate the state of the environment and propose its rehabilitation. The authors carried out an inventory of the mining facilities and studies of the area’s rocks, soils, plants, and waters. The results of these studies unequivocally show that the current condition of the site indicates the conditions for an ecological disaster. The most important polluting factor is the presence of metallurgical plants, which are responsible for acid rain and soil pollution. Another threat is uncontrolled mine water outflows. Due to the specific climatic conditions and the vegetation found in the area, the process of rehabilitating the area may be costly and lengthy. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Landscape of the Monchepluton region with a visible metallurgical plant, an acidified lake, and a zone of plant succession in an area of forest destroyed by acid rain.</p>
Full article ">Figure 2
<p>Geological Sketch of the Monchepluton intrusion (generalized, based on [<xref ref-type="bibr" rid="B3-mining-02-00037">3</xref>,<xref ref-type="bibr" rid="B4-mining-02-00037">4</xref>,<xref ref-type="bibr" rid="B23-mining-02-00037">23</xref>]). Abbreviations: Monchepluton—1. Dunites and chromitites, 2. Harzburgites, 3. Other peridotites, 4. Orthopyroxenites, 5. Olivine norites, 6. Gabbro-norites, 7. Gabbro, 8. Gabbro–anorthosites, 9. Massive sulfide mineralization; Monchetundra—11. Gabbro-anorthosites, and 12. Peridotites; Kola series—12. Archean gneisses; Imandra Varzuga series—13. Hypersthene diorites, 14. Metasediments, and metavolcanites; 15 sample localization: a—rock, b—soil, c—plant, and d—water.</p>
Full article ">Figure 3
<p>Microphotograph of the selected rocks types ((<bold>A</bold>–<bold>F</bold>) polarizing microscope, (<bold>G</bold>,<bold>H</bold>) reflected light): (<bold>A</bold>)—chromitite with chromite (chr) crystals on the orthopyroxene (opx) and serpentinized (srp) olivines (ol); (<bold>B</bold>)—dunites with zonal olivines and chromites and serpentine; (<bold>C</bold>)—harzburgites with orthopyroxene and olivine; (<bold>D</bold>)—orthopyroxenites with talc (tc); (<bold>E</bold>)—norites with orthopyroxenes and plagioclases (pl); (<bold>F</bold>)—gabbronorites with ortho- and clinopyroxenes (cpx) with plagioclases; (<bold>G</bold>,<bold>H</bold>) sulfide ores with pentlandite (pn), pyrrhotite (po), chalcopyrite (cp), and sometimes with bornite (bn) accompanied by crystals of talc and zonal chromite.</p>
Full article ">Figure 4
<p>Photographs from the site, showing various traces of mining activity in Monchepluton: (<bold>A</bold>)—stone quarry in Nyud area with visible mining levels; (<bold>B</bold>)—chromitite quarry in Dunite Block with acidified flooded level; (<bold>C</bold>)—shaft and collapsed adit with visible precipitates; (<bold>D</bold>)—ruined outbuildings; (<bold>E</bold>)—unprotected shaft; (<bold>F</bold>)—ruined mine shaft.</p>
Full article ">Figure 5
<p>Photographs of soils from the Monchepluton area: (<bold>A</bold>)—initial soils based on regolith in the Kumuzhia area; (<bold>B</bold>)—a weathering cap over a chromite occurrence.</p>
Full article ">Figure 6
<p>Examples of vegetation in the Monchepluton area: (<bold>A</bold>)—destroyed forest in the Sopcha area; (<bold>B</bold>)—forest–tundra in the Vurechuaivench area.</p>
Full article ">Figure 7
<p>Examples of photographs of lichens from the study area: (<bold>A</bold>)—lichens of <italic>cladonia sp.</italic>, in the vicinity of a clump of mosses and grasses; (<bold>B</bold>)—the lichen <italic>Cladonia chlorophaea</italic>.</p>
Full article ">Figure 8
<p>Examples of field trail delineation by residents’ initiative: bike trail marked with used tires (<bold>A</bold>) and paint-painted markings on rocks (<bold>B</bold>).</p>
Full article ">
13 pages, 13581 KiB  
Article
Zn-Pb Dumps, Environmental Pollution and Their Recultivation, Case of Ruda Śląska-Wirek, S Poland
by Miłosz Huber and Olga Iakovleva
Mining 2022, 2(3), 616-628; https://doi.org/10.3390/mining2030033 - 14 Sep 2022
Cited by 4 | Viewed by 1884
Abstract
This article describes the results of a study on the Zn-Pb heap, which is located in the center of the city of Ruda Śląska. The heap dates back to the 19th century but was rediscovered in the 21st century and abandoned. Located in [...] Read more.
This article describes the results of a study on the Zn-Pb heap, which is located in the center of the city of Ruda Śląska. The heap dates back to the 19th century but was rediscovered in the 21st century and abandoned. Located in the center of the city, it is eroded and contributes to the spreading of pollutants. The authors performed a study on the components of the dump using microscopic observations and geochemical analyses. The results indicate that the components of the heap are mobile, mainly due to the infiltration of meteoric waters affecting the contamination of soils and plants. The present work is devoted to a review of the state of the environment in the area of the heap and a proposal for its reclamation by covering it with an isolation layer or moving it to a protected place away from the city center. It is possible, in the future, to build an Environmental Education Center, for education and the monitoring of enrivonmental problems in Upper Silesia. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Landscape of an exposed heap in the center of the city of Ruda Śląska.</p>
Full article ">Figure 2
<p>Location of sampling points for heap, soil and plants (on Google Maps).</p>
Full article ">Figure 3
<p>Photo documentation of the condition of the heap at the time of the survey: showing the exposure of the heap (<bold>A</bold>), its layered nature (<bold>B</bold>), fragments of ceramic metallurgical elements (<bold>C</bold>), mosses and lichens on the heap (<bold>D</bold>).</p>
Full article ">Figure 4
<p>Examples of binocular magnifying glass microphotographs showing slag from the heap with visible enamel fragments (<bold>A</bold>) and precipitates (<bold>B</bold>).</p>
Full article ">Figure 5
<p>Microphotographs of slags with visible devitrified glaze (<bold>A</bold>) and iron oxides and hydroxides located in the background of the glaze and voids (<bold>B</bold>).</p>
Full article ">Figure 6
<p>Backscattered electron (BSE) microphotographs showing the structure of the slag and the phases present: iron oxides and carbonate needles (<bold>A</bold>), copper, zinc and iron sulfides (<bold>B</bold>), gypsum crystals (<bold>C</bold>) and iron and zinc alloys (<bold>D</bold>).</p>
Full article ">Figure 7
<p>Microphotograph under reflected polarized light showing the grains of the initial soil taken from the heap (<bold>A</bold>) and microphotograph BSE of the soil sample with the points of microanalysis (<bold>B</bold>).</p>
Full article ">Figure 8
<p>An example of firefly moss (<italic>Polytrichum commune Hedw.</italic>, <bold>A</bold>) and lichen (<italic>Cladonia sp.</italic>, <bold>B</bold>) growing on a heap.</p>
Full article ">Figure 9
<p>Maps showing the distribution of heavy metal elements in the heap area Maps were made respectively for: arsenic (<bold>A</bold>), cadmium (<bold>B</bold>), copper (<bold>C</bold>), nickel (<bold>D</bold>), lead (<bold>E</bold>) and zinc (<bold>F</bold>).</p>
Full article ">
17 pages, 2916 KiB  
Article
D-P-Transformer: A Distilling and Probsparse Self-Attention Rockburst Prediction Method
by Yu Zhang, Jitao Li, Dongqiao Liu, Guangshu Chen and Jiaming Dou
Energies 2022, 15(11), 3959; https://doi.org/10.3390/en15113959 - 27 May 2022
Cited by 7 | Viewed by 1935
Abstract
Rockburst may cause damage to engineering equipment, disrupt construction progress, and endanger human life. To this day, the occurrence of rockburst remains complex and difficult to predict. This study proposes the D-P-Transformer algorithm to address this issue by improving the embedding structure of [...] Read more.
Rockburst may cause damage to engineering equipment, disrupt construction progress, and endanger human life. To this day, the occurrence of rockburst remains complex and difficult to predict. This study proposes the D-P-Transformer algorithm to address this issue by improving the embedding structure of the Transformer for specific applications to rockburst data. To reduce the computational requirement, sparse self-attention is adopted to replace self-attention. A distilling operation and multiple layer replicas are simultaneously used to enhance the robustness and speed up the algorithm’s process. Taking all relevant rockburst factors into consideration, multiple experiments are conducted on seven large-scale rockburst datasets with different training ratios to verify the reliability of the proposed D-P-Transformer rockburst prediction algorithm. As compared to the original algorithm, the proposed algorithm shows average reductions of 24.45%, 46.56%, 17.32%, and 48.11% in the mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), and mean absolute percentage error (MAPE), respectively. The results indicate that the novel D-P-Transformer rockburst prediction algorithm is superior to the Transformer prediction algorithm, and could be used for coal mine rockburst prediction analysis. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>The system framework of the D-P-Transformer rockburst prediction algorithm.</p>
Full article ">Figure 2
<p>The rockburst physical simulation system.</p>
Full article ">Figure 3
<p>The rock sample stress conditions.</p>
Full article ">Figure 4
<p>The embedding structure.</p>
Full article ">Figure 5
<p>The structure of the D-P-Transformer rockburst prediction algorithm.</p>
Full article ">Figure 6
<p>The metric results of the P-Transformer and Transformer algorithms: (<b>a</b>) MAE; (<b>b</b>) MSE; (<b>c</b>) RMSE; (<b>d</b>) MAPE.</p>
Full article ">Figure 6 Cont.
<p>The metric results of the P-Transformer and Transformer algorithms: (<b>a</b>) MAE; (<b>b</b>) MSE; (<b>c</b>) RMSE; (<b>d</b>) MAPE.</p>
Full article ">Figure 7
<p>The metrics of the D-P-Transformer and P-Transformer algorithms: (<b>a</b>) MAE; (<b>b</b>) MSE; (<b>c</b>) RMSE; (<b>d</b>) MAPE.</p>
Full article ">Figure 8
<p>The metrics of various models: (<b>a</b>) MAE; (<b>b</b>) MSE; (<b>c</b>) RMSE; (<b>d</b>) MAPE.</p>
Full article ">Figure 8 Cont.
<p>The metrics of various models: (<b>a</b>) MAE; (<b>b</b>) MSE; (<b>c</b>) RMSE; (<b>d</b>) MAPE.</p>
Full article ">
17 pages, 2805 KiB  
Article
Multi-Parameter Analysis of Gas Losses Occurring during the Determination of Methane-Bearing Capacity in Hard Coal Beds
by Marcin Karbownik, Agnieszka Dudzińska and Jarosław Strzymczok
Energies 2022, 15(9), 3239; https://doi.org/10.3390/en15093239 - 28 Apr 2022
Cited by 2 | Viewed by 1484
Abstract
The content of natural methane in hard coal seams, called methane-bearing capacity, is the basic parameter that enables the level of methane hazard to be determined in hard coal mines. This parameter is also used to determine the potential quantities of methane that [...] Read more.
The content of natural methane in hard coal seams, called methane-bearing capacity, is the basic parameter that enables the level of methane hazard to be determined in hard coal mines. This parameter is also used to determine the potential quantities of methane that can be collected and used for energy purposes and the amount of its harmful emission to the atmosphere. Direct methods are most often used to determine methane-bearing capacity. An important aspect that has a great influence on the final result of the research is the gas losses generated at the stage of sampling. Under the conditions of the Polish mining industry, the direct drill cuttings method is used to determine the methane-bearing capacity. Gas losses are compensated for in this method with the use of the coefficient 1.12, by which the obtained result is multiplied. In this paper, a multi-parameter analysis of gas loss in the determination of methane-bearing capacity in hard coal seams has been carried out. Several experiments were performed to identify the most important aspects to be taken into account to obtain a correct result. A methane-bearing capacity test was conducted using two direct methods: the direct drill cuttings method, otherwise known as the single-phase vacuum degassing method, and a method based on the United States Bureau of Mines standards. Sorption studies, such as methane sorption kinetics tests, were also conducted in which sorption properties, such as sorption capacity, effective diffusion coefficient, and half sorption time, were determined. Methane sorption isotherms were also determined, and pore structure was analysed. Based on the obtained test results, an analysis was carried out which made it possible to present appropriate conclusions concerning the gas losses during the methane-bearing capacity test, generated at the stage of sampling. The final result of the work was the proposal of a new gas loss coefficient for the direct drill cuttings method of methane-bearing capacity determination. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Location of the Upper Silesian Coal Basin study area [<a href="#B41-energies-15-03239" class="html-bibr">41</a>,<a href="#B42-energies-15-03239" class="html-bibr">42</a>,<a href="#B43-energies-15-03239" class="html-bibr">43</a>] (modified).</p>
Full article ">Figure 2
<p>Hermetically sealed containers for coal sampling.</p>
Full article ">Figure 3
<p>Central Mining Institute test stand for methane-bearing capacity identification by the USBM direct method: (<b>a</b>) Hermetically sealed steel containers with pressure and temperature sensors; (<b>b</b>) Central Mining Institute USBM dedicated test stand.</p>
Full article ">Figure 4
<p>Lost gas volume determination in the USBM method.</p>
Full article ">Figure 5
<p>IGA-001 gravimetric sorption system used to investigate methane sorption kinetics and methane sorption isotherms.</p>
Full article ">Figure 6
<p>ASAP 2010 volumetric sorption analyser.</p>
Full article ">Figure 7
<p>Graphical summary of methane-bearing capacity test results obtained using the USBM method and the direct drill cuttings method with a loss factor of 1.12 and 1.33.</p>
Full article ">
15 pages, 37817 KiB  
Article
Estimation of the Turkish Boron Exportation to Europe
by Birol Elevli, İrem Yaman and Bertrand Laratte
Mining 2022, 2(2), 155-169; https://doi.org/10.3390/mining2020009 - 23 Mar 2022
Cited by 13 | Viewed by 7406
Abstract
Borate is an essential material to numerous industries and even to individual countries’ economies, defense, and politics. Almost all industries need borates for production, and almost everybody needs their products. Borate is a compound that contains or supplies boric oxide (B2O [...] Read more.
Borate is an essential material to numerous industries and even to individual countries’ economies, defense, and politics. Almost all industries need borates for production, and almost everybody needs their products. Borate is a compound that contains or supplies boric oxide (B2O3). Among the minerals that contain boric oxide, there are only four minerals significant from an economic standpoint, namely borax (tincal), colemanite, ulexite, and kernite. Turkey has almost 70% of all known reserves in the world. Therefore, borates and their products could be one of the main topics for sustainable development in the whole world. The recent development and pursuit of new boron-consuming technologies and alternative products to existing borate-consuming products introduce additional uncertainty to the sustainability of boron minerals. Therefore, the European Union (EU) Commission also declared borate one of the 30 critical raw materials. Turkey is a prosperous country in terms of boron reserves, and it exports almost 96% of borates’ production. In order to better understand the relation between borate minerals and borate products, a material flow analysis (MFA) study has been carried out within the content of this work in order to update the data about the current status of boron. For this purpose, a system has been established that shows the flow of boron material. The extraction, enrichment, and refining processes of boron products are drawn. The results indicate that about 41% of extracted colemanite ore is converted into refined borate, about 31% of tincal ore is converted to refined borate, and 4% of tincal ore is converted to end-usage products, such as detergent. The correctness of the data and the sensitivity of the processes are all estimated values. The results can help in the development of boron sustainability and boron production strategies. The MFA study on tincal and colemanite ore may be an example of boron studies in different countries. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Flow of Boron minerals to usage area.</p>
Full article ">Figure 2
<p>(<b>a</b>) Usage of boron in the world and (<b>b</b>) usage of boron in Turkey.</p>
Full article ">Figure 3
<p>General MFA frame for boron minerals.</p>
Full article ">Figure 4
<p>Boron products’ exportation. (<b>a)</b> Export Share of BORAX-HS2528; (<b>b)</b> Export Shares of BORATES-HS2840; (<b>c</b>) Export Share of BORON-HS2810.</p>
Full article ">Figure 4 Cont.
<p>Boron products’ exportation. (<b>a)</b> Export Share of BORAX-HS2528; (<b>b)</b> Export Shares of BORATES-HS2840; (<b>c</b>) Export Share of BORON-HS2810.</p>
Full article ">Figure 5
<p>Boron products’ import share of countries. (<b>a</b>) Import Share of BORAX-HS2528 (<b>b</b>) Import Share of BORON-HS2810 (<b>c</b>) Import Share of BORATES-HS2840.</p>
Full article ">Figure 5 Cont.
<p>Boron products’ import share of countries. (<b>a</b>) Import Share of BORAX-HS2528 (<b>b</b>) Import Share of BORON-HS2810 (<b>c</b>) Import Share of BORATES-HS2840.</p>
Full article ">Figure 6
<p>World demand for boron products.</p>
Full article ">Figure 7
<p>MFA modes of tincal and the processes and flows.</p>
Full article ">Figure 8
<p>Tincal ore MFA model structure and respective flows are shown in the Sankey diagram.</p>
Full article ">Figure 9
<p>MFA modes of colemanite and the processes and flows.</p>
Full article ">Figure 10
<p>Colemanite ore MFA model and respective flows are shown in the Sankey diagram.</p>
Full article ">Figure 11
<p>MFA of boron from Turkey to the world.</p>
Full article ">
14 pages, 7351 KiB  
Article
A Sensing Mechanism and the Application of a Surface-Bonded FBG Dynamometry Bolt
by Minfu Liang, Xinqiu Fang, Ningning Chen, Xiaomei Xue and Gang Wu
Appl. Sci. 2022, 12(7), 3225; https://doi.org/10.3390/app12073225 - 22 Mar 2022
Cited by 3 | Viewed by 2095
Abstract
In the present paper, a new type of surface-bonded fiber Bragg grating (FBG) dynamometry bolt is designed. It is assumed that the adhesive layer is a linear viscoelastic material and its creep mechanical behavior is expressed by the standard linear solid model. The [...] Read more.
In the present paper, a new type of surface-bonded fiber Bragg grating (FBG) dynamometry bolt is designed. It is assumed that the adhesive layer is a linear viscoelastic material and its creep mechanical behavior is expressed by the standard linear solid model. The shear strain transfer model of the surface-bonded FBG sensor is established. Additionally, the instantaneous and quasistatic strain transfer functions of the surface-bonded FBG sensor are obtained. The functions are validated by a uniaxial tensile test and a long-term constant-load tensile test. The test results show that the strain measured by the FBG sensor has a proportional relationship with the strain measured by the resistance strain gauge. Furthermore, under the fixed load for a long period of time, the strain of the FBG sensor has a tendency to drift and the strain reduction rate is about 40.5%. Finally, the field application is carried out in a mining area. It has been proved that the ground pressure online monitoring system based on the FBG sensing technology can successfully monitor the stress of the rock bolt. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Schematic diagram of the FBG sensor’s structure.</p>
Full article ">Figure 2
<p>Principle of fiber Bragg grating sensing.</p>
Full article ">Figure 3
<p>Structure diagram of the limit slot for the FBG dynamometry bolt.</p>
Full article ">Figure 4
<p>Schematic diagram of the fiber grating arrangement on the bolt body.</p>
Full article ">Figure 5
<p>Data transmission schematic diagram of the FBG dynamometry bolt.</p>
Full article ">Figure 6
<p>Schematic diagram of the sensor structure. (<b>a</b>) The main view of the schematic diagram; (<b>b</b>) the side view of the schematic diagram.</p>
Full article ">Figure 7
<p>A standard linear solid model.</p>
Full article ">Figure 8
<p>The diagram of the test device. (<b>a</b>) Electro-hydraulic servo testing machine; (<b>b</b>) FBG sensing demodulator and static resistance strain demodulator; and (<b>c</b>) the sample of the FBG dynamometry bolt.</p>
Full article ">Figure 9
<p>Schematic diagram of the test equipment connection.</p>
Full article ">Figure 10
<p>Measurement results of each test instrument.</p>
Full article ">Figure 11
<p>Corresponding relationship of the strain measured by the resistance strain gauge sensors and FBG sensors.</p>
Full article ">Figure 12
<p>Variation curve of the specimen strain with time under the long-time constant loads. (<b>a</b>) The measurement results of the resistance strain gauge sensors; (<b>b</b>) the measurement results of the FBG sensors.</p>
Full article ">Figure 13
<p>The roadway section deformation monitoring station layout in the return airway 81303.</p>
Full article ">Figure 14
<p>The on-site connection and installation of the dynamometry bolts. (<b>a</b>) Device connection diagram; (<b>b</b>) on-site installation drawing.</p>
Full article ">Figure 15
<p>The stress of the bolt in different positions from the head of the tunnel face. (<b>a</b>) The roof bolts on the roadway, (<b>b</b>) the bolts on the solid coal side, and (<b>c</b>) the bolts on the narrow coal pillar side.</p>
Full article ">
32 pages, 3697 KiB  
Article
Integrated Artificial Neural Network and Discrete Event Simulation Framework for Regional Development of Refractory Gold Systems
by Ryan Wilson, Patrick H. J. Mercier and Alessandro Navarra
Mining 2022, 2(1), 123-154; https://doi.org/10.3390/mining2010008 - 8 Mar 2022
Cited by 13 | Viewed by 4331
Abstract
Mining trends in the gold sector indicate a growing imbalance in global supply and demand chains, especially in light of accelerated efforts towards industrial electrification and automation. As such, it is important that research and development continue to focus on processing options for [...] Read more.
Mining trends in the gold sector indicate a growing imbalance in global supply and demand chains, especially in light of accelerated efforts towards industrial electrification and automation. As such, it is important that research and development continue to focus on processing options for more complex and refractory ores. Unlike conventional (i.e., free-milling) ore feeds, refractory gold is not amenable to standard cyanidation, and requires additional pretreatment prior to leaching and recovery. With recent technological advancements, such as sensor-based ore sorting, there is opportunity to advance the development of smaller untapped refractory resources with marginal economics, particularly those in proximity to processing infrastructure within major gold districts. However, it will be critical that the necessary tools are developed to capture the potential system-wide effects caused by varied ore feeds and improve related decision-making processes earlier in the value chain. Discrete event simulation (DES) is a powerful computational technique that can be used to monitor the interactions between important processes and parameters in response to random natural variations; the approach is thus suitable for the modelling of complex mining systems that deal with significant geological uncertainty. This work implements an integrated artificial neural network (ANN) and DES framework for the regional coordination of conventional and preconcentrated refractory gold ores to be processed at a centralized plant. Sample calculations are presented that are based on a generated dataset reflective of sediment-hosted refractory gold systems. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Schematic representation of the final selected MLP architecture, consisting of one hidden layer (72 nodes) arranged sequentially between the input (87 feature nodes) and output (1 target node) layers. The input features correspond to the elemental, mineralogical and gold-related variables in the generated dataset, less gold recovery, which was retained as the lone target output variable. Details on selection of the number of nodes in the hidden layer are available in <a href="#app2-mining-02-00008" class="html-app">Appendix B</a> (<a href="#secBdot3-mining-02-00008" class="html-sec">Appendix B.3</a>).</p>
Full article ">Figure 2
<p>Schematic flow chart showing the developed regionalized framework strategy for handling conventional and refractory gold ore sources at a central processing facility. Abbreviations: UF = ultrafine, POX = pressure oxidation.</p>
Full article ">Figure 3
<p>Flow chart showing the architecture and data flows for the developed quantitative framework (modified after [<a href="#B40-mining-02-00008" class="html-bibr">40</a>]).</p>
Full article ">Figure 4
<p>Diagram illustrating the problem concept for the current set of sample calculations. Mine I refers to the producing mine with which the mill is currently integrated; Mine II refers to the satellite deposit under consideration. Expected ore compositions are only approximate and do not account for geological uncertainty.</p>
Full article ">Figure 5
<p>MLP regression model performance metrics for training and validation subsets, including (<b>a</b>) coefficients of determination (<math display="inline"><semantics> <mrow> <msup> <mi mathvariant="normal">R</mi> <mn>2</mn> </msup> </mrow> </semantics></math>) and (<b>b</b>) root mean-square-error (RMSE) values. Note the reversal in improvement at 500 epochs for both metrics.</p>
Full article ">Figure 6
<p>Plot of predicted vs. labeled recoveries from MLP regression on the unseen test set. Samples are sorted based on the target labels to highlight residual distances; predictive power appears best in the mid-to-upper recovery ranges (~65–95%).</p>
Full article ">Figure 7
<p>Generalized flow chart of the DES framework showing decision-making logic for parcel loading and termination, operational mode changes and configuration rate changes (i.e., recourse actions). Abbreviations: ML = machine learning, TOSL = target ore stockpile level. Image from Peña-Graf et al. [<a href="#B58-mining-02-00008" class="html-bibr">58</a>].</p>
Full article ">Figure 8
<p>Representative graphical outputs from the DES framework, showing (<b>a</b>) stable plant operation with alternation between Modes A (green) and B (blue) over a period of 500 operating days (critical RTO level = 8100 t; target total ore level = 24,300 t); (<b>b</b>) system under stress with one mine surging event (red “S”) and three contingency modes (green “C”) triggered by inadequate FMO and RTO levels, respectively, over 250 operating days (critical RTO level = 2700 t; target total ore level = 8100 t).</p>
Full article ">Figure 9
<p>Plots of throughput rates (t/d) versus (<b>a</b>) critical RTO level and (<b>b</b>) target total ore level for a variety of simulated ore type ratios over 100 statistical replications.</p>
Full article ">Figure 10
<p>Plots of monthly stockout probability (%) versus (<b>a</b>) critical RTO level and (<b>b</b>) target total ore level for a variety of simulated ore type ratios over 100 statistical replications.</p>
Full article ">Figure 11
<p>Histogram showing the relative modal time proportions of the final enhanced model vs. a naïve model that uses the deterministic values for critical RTO (2700 t) and target total ore (5940 t) levels over 100 replications.</p>
Full article ">Figure 12
<p>Plot showing the relative trade-off between Options 1 and 2 for gold prices ranging from USD 1200/oz to USD 1900/oz. The breakeven point for bringing Mine II online occurs at a price of ~USD 1450/oz, with a payback period of ~5 years (data labels).</p>
Full article ">Figure A1
<p>General classification scheme for different machine learning approaches.</p>
Full article ">Figure A2
<p>Schematic diagrams of a feed-forward artificial neural network at the (<b>a</b>) model architecture and (<b>b</b>) neuron levels (modified after [<a href="#B74-mining-02-00008" class="html-bibr">74</a>]).</p>
Full article ">Figure A3
<p>Schematic gradient contour map comparing SGD without (blue dotted line) and with (green solid line) momentum. Note the reduction in oscillations in the second case, which helps avoid local minima by taking a more direct path to the valley bottom, thus improving and accelerating convergence.</p>
Full article ">
18 pages, 4892 KiB  
Article
Ecological Restoration of a Loess Open-Cast Mining Area in China: Perspective from an Ecological Security Pattern
by Kai Yang, Shufei Wang, Yingui Cao, Shengpeng Li, Wenxiang Zhou, Shihan Liu and Zhongke Bai
Forests 2022, 13(2), 269; https://doi.org/10.3390/f13020269 - 8 Feb 2022
Cited by 15 | Viewed by 2880
Abstract
Open-cast coal mining in China has developed rapidly due to its obvious advantages over underground mining. However, it may have negative ecological effects, such as biodiversity loss, water shortage, and soil erosion. Identifying and protecting the key areas with high importance for ecological [...] Read more.
Open-cast coal mining in China has developed rapidly due to its obvious advantages over underground mining. However, it may have negative ecological effects, such as biodiversity loss, water shortage, and soil erosion. Identifying and protecting the key areas with high importance for ecological sustainability are great challenges. The construction of an ecological security pattern (ESP) can improve landscape connectivity and reduce the fragmentation of ecological patches. Thus, it can be seen as an effective measure to protect regional ecological sustainability. In this study, taking the Pingshuo open-cast mining area as a case study area, ecological sources are identified through ecosystem structure and function, and corridors are extracted by constructing an ecological resistance surface, thus forming a valid ecological network. The results show that in 2018, the ESP in the study area included 11 sources with an area of 147.74 km2 and 17 corridors with a length of 92.11 km. Specifically, the ecological sources are mainly distributed in Taocun Township, Jingping Township, and Xiangyangbao Township. Among these 11 sources, sources 7 and 8 are reclaimed waste dump land, meaning that the land reclamation work in Pingshuo greatly promotes connectivity. Furthermore, dump 1 can be restored in the future by constructing three new corridors, which will greatly improve the landscape connectivity of Yuling Township. Overall, this study not only provides an effective framework for constructing and optimizing ESPs in ecologically fragile coal mining areas, but it also adds new insights to the concept of land reclamation in these areas. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Location of the study area.</p>
Full article ">Figure 2
<p>Methodological framework used to construct and optimize ESP.</p>
Full article ">Figure 3
<p>Ecosystem function.</p>
Full article ">Figure 4
<p>Limiting factor maps used for simulating land-use type conversion.</p>
Full article ">Figure 5
<p>Values of potential ecological sources.</p>
Full article ">Figure 6
<p>Ecological sources in the study area.</p>
Full article ">Figure 7
<p>Spatial patterns of ecological resistance surface.</p>
Full article ">Figure 8
<p>Spatial patterns of ecological network.</p>
Full article ">Figure 9
<p>The optimization of stripped area.</p>
Full article ">
20 pages, 3487 KiB  
Article
Analysis of the Influence of Coal Petrography on the Proper Application of the Unipore and Bidisperse Models of Methane Diffusion
by Marcin Karbownik, Jerzy Krawczyk, Katarzyna Godyń, Tomasz Schlieter and Jiří Ščučka
Energies 2021, 14(24), 8495; https://doi.org/10.3390/en14248495 - 16 Dec 2021
Cited by 11 | Viewed by 2457
Abstract
The analysis of phenomena related to gas transport in hard coal is important with regard to the energetic use of coal bed methane (CBM), the reduction of greenhouse gas emissions to the atmosphere (CO2) and the prevention of natural hazards such [...] Read more.
The analysis of phenomena related to gas transport in hard coal is important with regard to the energetic use of coal bed methane (CBM), the reduction of greenhouse gas emissions to the atmosphere (CO2) and the prevention of natural hazards such as methane hazards and gas and rock outbursts. This article presents issues concerning the feasibility and scope of applying the unipore and bidisperse diffusion models to obtain knowledge concerning the kinetics of methane sorption and its diffusion in the carbon structure, depending on its petrography. Laboratory tests were carried out on coal samples which varied in terms of petrography. Quantitative point analyses were carried out, based on which content of groups of macerals was determined. The degree of coalification of coal samples was also determined based on measurements of vitrinite reflectivity R0 and the volatile matter content Vdaf. Sorption kinetics were also investigated, and attempts were made to adjust the unipore and bidisperse models to the real sorption kinetic courses. This allowed the identification of appropriate coefficients controlling the course of sorption in mathematical models. An attempt was also made to assess the possibility of applying a given model to properly describe the phenomenon of methane sorption on hard coal. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Schematic representation of the coal matrix with micro- and macropores present as assumed by the bidisperse model [<a href="#B43-energies-14-08495" class="html-bibr">43</a>].</p>
Full article ">Figure 2
<p>IGA-001 (intelligent gravimetric analyser) sorption test rig.</p>
Full article ">Figure 3
<p>(<b>a</b>) D-25—sporinite (macro and microscopic) surrounded by vitrinite and inertinite; (<b>b</b>) D-24—lamina of cracked vitrinite surrounded by trimacerite; (<b>c</b>) D-34—macro- and microsporinite among macerals of vitrinite and inertinite group; (<b>d</b>) D-37—telinite impregnated with micrinite; (<b>e</b>) D-6—fragment of coal composed of vitrinite and scattered macerals of inertinite and liptinite group; (<b>f</b>) D-22—fragment of lightly cracked coal composed of vitrinite and large macrospore and inertinite fragments; (<b>g</b>) D-7—vitrinite with bands of mineral matter, mainly clay; (<b>h</b>) D-23—fragment of coal composed of colotelinite, sporinite and small fragments of inertodetrinite; (<b>i</b>) Cz. 4032—vitrinite with macerals of inertinite group; (<b>j</b>) Cz. 4006—vitrinite with macerals of the inertinite group. Magnification 500×, reflected light, immersion.</p>
Full article ">Figure 3 Cont.
<p>(<b>a</b>) D-25—sporinite (macro and microscopic) surrounded by vitrinite and inertinite; (<b>b</b>) D-24—lamina of cracked vitrinite surrounded by trimacerite; (<b>c</b>) D-34—macro- and microsporinite among macerals of vitrinite and inertinite group; (<b>d</b>) D-37—telinite impregnated with micrinite; (<b>e</b>) D-6—fragment of coal composed of vitrinite and scattered macerals of inertinite and liptinite group; (<b>f</b>) D-22—fragment of lightly cracked coal composed of vitrinite and large macrospore and inertinite fragments; (<b>g</b>) D-7—vitrinite with bands of mineral matter, mainly clay; (<b>h</b>) D-23—fragment of coal composed of colotelinite, sporinite and small fragments of inertodetrinite; (<b>i</b>) Cz. 4032—vitrinite with macerals of inertinite group; (<b>j</b>) Cz. 4006—vitrinite with macerals of the inertinite group. Magnification 500×, reflected light, immersion.</p>
Full article ">Figure 4
<p>Fitting of the unipore model runs with experimental sorption data: (<b>a</b>) Sobieski (D-25); (<b>b</b>) Sobieski (D-24); (<b>c</b>) Piast (D-34); (<b>d</b>) Mysłowice-Wesoła (D-37); (<b>e</b>) Borynia (D-6); (<b>f</b>) Zofiówka (D-22); (<b>g</b>) Pniówek (D-7); (<b>h</b>) Zofiówka (D-23); (<b>i</b>) ČR-Věřňovice (Cz. 4006); (<b>j</b>) ČR-Věřňovice (Cz. 4032).</p>
Full article ">Figure 4 Cont.
<p>Fitting of the unipore model runs with experimental sorption data: (<b>a</b>) Sobieski (D-25); (<b>b</b>) Sobieski (D-24); (<b>c</b>) Piast (D-34); (<b>d</b>) Mysłowice-Wesoła (D-37); (<b>e</b>) Borynia (D-6); (<b>f</b>) Zofiówka (D-22); (<b>g</b>) Pniówek (D-7); (<b>h</b>) Zofiówka (D-23); (<b>i</b>) ČR-Věřňovice (Cz. 4006); (<b>j</b>) ČR-Věřňovice (Cz. 4032).</p>
Full article ">Figure 5
<p>Fitting of the bidisperse model runs with experimental sorption data: (<b>a</b>) Sobieski (D-25); (<b>b</b>) Sobieski (D-24); (<b>c</b>) Piast (D-34); (<b>d</b>) Mysłowice-Wesoła (D-37); (<b>e</b>) Borynia (D-6); (<b>f</b>) Zofiówka (D-22); (<b>g</b>) Pniówek (D-7); (<b>h</b>) Zofiówka (D-23); (<b>i</b>) ČR-Věřňovice (Cz. 4006); (<b>j</b>) ČR-Věřňovice (Cz. 4032).</p>
Full article ">Figure 5 Cont.
<p>Fitting of the bidisperse model runs with experimental sorption data: (<b>a</b>) Sobieski (D-25); (<b>b</b>) Sobieski (D-24); (<b>c</b>) Piast (D-34); (<b>d</b>) Mysłowice-Wesoła (D-37); (<b>e</b>) Borynia (D-6); (<b>f</b>) Zofiówka (D-22); (<b>g</b>) Pniówek (D-7); (<b>h</b>) Zofiówka (D-23); (<b>i</b>) ČR-Věřňovice (Cz. 4006); (<b>j</b>) ČR-Věřňovice (Cz. 4032).</p>
Full article ">
27 pages, 11597 KiB  
Article
Product Development of a Rock Reinforcing Bolt for Underground Hard Rock Mining
by Ndalamo Tshitema and Daramy Vandi Von Kallon
Mining 2021, 1(3), 364-390; https://doi.org/10.3390/mining1030023 - 15 Dec 2021
Cited by 4 | Viewed by 7513
Abstract
The demand for mineral resources has dramatically increased over the past few decades; this increase directly correlates to an increase in underground mining activity. There are different mining methods for different minerals, and each have their risks. In hard rock mining activities such [...] Read more.
The demand for mineral resources has dramatically increased over the past few decades; this increase directly correlates to an increase in underground mining activity. There are different mining methods for different minerals, and each have their risks. In hard rock mining activities such as mining for gold, rockfalls are the most significant deterrent to obtaining mineral resources. This paper focuses on rock reinforcement systems to prevent fatal rockfalls in underground excavations. Presently, there is a global steel shortage and an increase in prices that has impacted the productivity of the mining operations that support most national economies. The paper’s main objective is to present the improvement of a rock bolt design used to support the roof in underground mining activities and keep working personnel and equipment safe from rockfalls. This study presents two rock bolt designs: a preliminary design and an improved model of the rock bolt. The paper discusses the operation of the rock bolt and provides laboratory test results on the bolt in operation. The principle of operation of the yield bolt is based on the science of radial expansion of hollow tubes in tension, to provide integrity to underground excavations. This functional design of the rock bolt requires less steel and has the same performance as the current rock reinforcement elongates. The research methodology involved interviewing rock mining engineers to determine their desired rock reinforcement device that would adequately meet the unpredictable dynamic and static behavior of underground rocks. The methodology also included experimental tests of a rock bolt design that was aimed at meeting the desired and acceptable performance determined from the interviews. The experimental results were obtained from a 60-ton hydraulic press that simulated seismic activity underground. The experimental results showed several modes of failure for the bolt; however, the improved rock bolt yielded at an average of 200 kN, as designed. During testing of the preliminary bolt design, there were failures that resulted from the manufacturing process of the bolt, such as splitting of the tube due to the welded end components. After a dynamic test, the preliminary bolt tube bent, creating huge forces on the tube which may cause fracture. The coefficient of friction during dynamic testing was lower than during static testing, leading to undesirable results for the preliminary bolt. The optimized bolt design addressed the failures and the low yield tonnage of the preliminary bolt design. It successfully yielded at 20 tons, even during the dynamic event. The bolt had similar alignment issues which caused failure during testing, as can be seen from the results. A guide tube was implemented in the design and the manufacturing process changed; these changes resulted in the bolt having a more reliable performance that met the requirements throughout. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Density of various rock types [<a href="#B3-mining-01-00023" class="html-bibr">3</a>].</p>
Full article ">Figure 2
<p>Analysis of fatalities by classification [<a href="#B11-mining-01-00023" class="html-bibr">11</a>].</p>
Full article ">Figure 3
<p>Sub-level caving for gold mining [<a href="#B12-mining-01-00023" class="html-bibr">12</a>].</p>
Full article ">Figure 4
<p>New Concept Mining fall of ground light geophone [<a href="#B14-mining-01-00023" class="html-bibr">14</a>].</p>
Full article ">Figure 5
<p>Types of rock bolts [<a href="#B16-mining-01-00023" class="html-bibr">16</a>].</p>
Full article ">Figure 6
<p>Load–deformation characteristics of rock bolts on the market [<a href="#B15-mining-01-00023" class="html-bibr">15</a>].</p>
Full article ">Figure 7
<p>New Concept Mining MP1 rock bolt [<a href="#B17-mining-01-00023" class="html-bibr">17</a>].</p>
Full article ">Figure 8
<p>Bedrock timber-based support pack [<a href="#B20-mining-01-00023" class="html-bibr">20</a>].</p>
Full article ">Figure 9
<p>Timrite cam and pin prop [<a href="#B21-mining-01-00023" class="html-bibr">21</a>].</p>
Full article ">Figure 10
<p>Timrite pencil prop [<a href="#B21-mining-01-00023" class="html-bibr">21</a>].</p>
Full article ">Figure 11
<p>Installed rock reinforcement elongates across stope [<a href="#B24-mining-01-00023" class="html-bibr">24</a>].</p>
Full article ">Figure 12
<p>Layout of props and packs supporting a hanging wall [<a href="#B25-mining-01-00023" class="html-bibr">25</a>].</p>
Full article ">Figure 13
<p>Probability that a block falls against size [<a href="#B25-mining-01-00023" class="html-bibr">25</a>].</p>
Full article ">Figure 14
<p>Cross section of rock reinforcement using yield bolts [<a href="#B26-mining-01-00023" class="html-bibr">26</a>].</p>
Full article ">Figure 15
<p>Mandrel yielding a tube [<a href="#B30-mining-01-00023" class="html-bibr">30</a>].</p>
Full article ">Figure 16
<p>Preliminary yield bolt design [<a href="#B31-mining-01-00023" class="html-bibr">31</a>].</p>
Full article ">Figure 17
<p>Cross-sectional view of forces acting on the rock bolt [<a href="#B30-mining-01-00023" class="html-bibr">30</a>].</p>
Full article ">Figure 18
<p>Data acquisition software [<a href="#B19-mining-01-00023" class="html-bibr">19</a>].</p>
Full article ">Figure 19
<p>Manufactured preliminary rock bolts [<a href="#B4-mining-01-00023" class="html-bibr">4</a>].</p>
Full article ">Figure 20
<p>Preliminary yield bolt tonnage vs. displacement.</p>
Full article ">Figure 21
<p>Splitting of preliminary rock bolt during testing.</p>
Full article ">Figure 22
<p>Improved rock bolt design.</p>
Full article ">Figure 23
<p>Assembled improved rock bolt.</p>
Full article ">Figure 24
<p>Experimental set-up.</p>
Full article ">Figure 25
<p>Yield tonnage vs. displacement.</p>
Full article ">Figure 26
<p>Yield bolt test 1 mode of failure.</p>
Full article ">Figure 27
<p>Evidence of inner tube digging into the outer tube.</p>
Full article ">Figure 28
<p>Misalignment of cone.</p>
Full article ">Figure 29
<p>Wire rope failure during testing.</p>
Full article ">
12 pages, 1517 KiB  
Article
The Economics of Coking Coal Mining: A Fossil Fuel Still Needed for Steel Production
by Adam Duda and Gregorio Fidalgo Valverde
Energies 2021, 14(22), 7682; https://doi.org/10.3390/en14227682 - 17 Nov 2021
Cited by 11 | Viewed by 3304
Abstract
Coking coal has been on the European list of critical raw materials since 2014 due to its high economic importance and high supply risk. In 2017, coking coal narrowly missed passing the threshold of economic importance. However, out of caution, it remained on [...] Read more.
Coking coal has been on the European list of critical raw materials since 2014 due to its high economic importance and high supply risk. In 2017, coking coal narrowly missed passing the threshold of economic importance. However, out of caution, it remained on the list of critical raw materials, as the steel industry still needs it. It is likely to be phased out of the list below when it does not fully meet the required criteria. As there are no significant alternatives for this energy intensive industry and neither electrification nor material or energy efficiency improvements are yet available at a sufficient level of technological readiness, the European Union remains dependent on coking coal imports. Therefore, any coking coal mining project in Europe is of great importance and an important alternative to solving the problems of providing this raw material. In this study, the Dębieńsko coking coal project in Poland is analyzed using a scientifically proven methodology based on world-class analysis of coking coal projects submitted for financing to financial institutions. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Major coking coal producers in Europe [<a href="#B9-energies-14-07682" class="html-bibr">9</a>].</p>
Full article ">Figure 2
<p>Tornado graph for Dębieńsko project financial outcome.</p>
Full article ">Figure 3
<p>Spider graph of NPV.</p>
Full article ">Figure 4
<p>Coking coal prices fitting distribution in <span>$</span>/t.</p>
Full article ">Figure 5
<p>Results of the uncertainty analysis with values in kM<span>$</span>.</p>
Full article ">
12 pages, 2672 KiB  
Article
MLP-Based Model for Estimation of Methane Seam Pressure
by Marta Skiba, Barbara Dutka and Mariusz Młynarczuk
Energies 2021, 14(22), 7661; https://doi.org/10.3390/en14227661 - 16 Nov 2021
Cited by 5 | Viewed by 1706
Abstract
One of the principal indicators of the methane hazard in coal mines is gas pressure. This parameter directly affects the methane content in the seam as well as the rate of its release resulting from mining operations. Because of limitations in the existing [...] Read more.
One of the principal indicators of the methane hazard in coal mines is gas pressure. This parameter directly affects the methane content in the seam as well as the rate of its release resulting from mining operations. Because of limitations in the existing methods for methane seam pressure measuring, primarily technical difficulties associated with direct measurement and the time-consuming nature of indirect measurement, this parameter is often disregarded in the coal and gas outburst forecasts. To overcome the above-mentioned difficulties, an attempt was made to estimate the methane seam pressure with the use of artificial neural networks. Two MLP-based models were developed to estimate the average and maximum methane seam pressure values, respectively. The analyses demonstrated high correlation between the values indicated by the neural models and the reference values determined on the basis of sorption isotherms. According to the adopted fit criterion, the prediction errors for the best fit were 2.59% and 3.04% for the average and maximum seam pressure values, respectively. The obtained determination coefficients (exceeding the value of 0.99) confirmed the very good predictive abilities of the models. These results imply a great potential for practical application of the proposed method. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Selection of neural network parameters for prediction of the average methane seam pressure, based on the mean prediction error of the neural model.</p>
Full article ">Figure 2
<p>Selection of neural network parameters for prediction of the maximum methane seam pressure, based on the mean prediction error of the neural model.</p>
Full article ">Figure 3
<p>Summary of the determined values of the average methane seam pressure (p<sub>ave</sub>) and the values returned by the neural network.</p>
Full article ">Figure 4
<p>Dependencies between the values of the average methane seam pressure predicted by the neural network and the reference values determined for the training, validation and test sets.</p>
Full article ">Figure 4 Cont.
<p>Dependencies between the values of the average methane seam pressure predicted by the neural network and the reference values determined for the training, validation and test sets.</p>
Full article ">Figure 5
<p>Summary of the determined values of the maximum methane seam pressure (p<sub>max</sub>) and the values returned by the neural network.</p>
Full article ">Figure 6
<p>Dependencies between the values of the maximum methane seam pressure predicted by the neural network and the values determined for the training, validation and test sets.</p>
Full article ">Figure 6 Cont.
<p>Dependencies between the values of the maximum methane seam pressure predicted by the neural network and the values determined for the training, validation and test sets.</p>
Full article ">
21 pages, 3744 KiB  
Article
Travel Dynamics Analysis and Intelligent Path Rectification Planning of a Roadheader on a Roadway
by Xiaodong Ji, Minjun Zhang, Yuanyuan Qu, Hai Jiang and Miao Wu
Energies 2021, 14(21), 7201; https://doi.org/10.3390/en14217201 - 2 Nov 2021
Cited by 8 | Viewed by 1800
Abstract
The tunneling work belongs to the group operation of semi-closed space, and the work is difficult with a high risk coefficient. It is an urgent requirement of coal mining to achieve unmanned and intelligent tunneling work. The path rectification planning of roadheaders is [...] Read more.
The tunneling work belongs to the group operation of semi-closed space, and the work is difficult with a high risk coefficient. It is an urgent requirement of coal mining to achieve unmanned and intelligent tunneling work. The path rectification planning of roadheaders is a necessary step before roadway cutting. In the traditional dynamic modeling analysis of roadhead tracks, problems such as compaction resistance, bulldozing resistance, steering resistance, tunnel dip angle, ditching, and obstacle-crossing capacity are not considered. In order to approximate the kinematic and dynamic parameters of a roadheader’s deviation correction under actual working conditions, this paper establishes kinematic and dynamic models of a roadheader’s path rectification at low speeds and under complex working conditions, and calculates the obstacle-crossing ability of roadheaders in the course of path rectification by modes based on roadway conditions, crawler resistance, and driving performance of the roadheader. Field experiments were carried out to verify the effectiveness of the dynamic model. The dynamic roadheader model was used in combination with actual working conditions of roadways in order to establish a roadway grid model. The grid model was simplified using rectifying influence degree and distance cost. The roadheader dynamic model and grid model were then used to propose a path rectification planning and tracking algorithm based on particle swarm optimization of the actual roadway conditions and roadheader driving performance. Finally, the effectiveness and superiority of the algorithm were verified using MATLAB simulation. The algorithm can provide strong technical guarantee for the intelligence of roadheader and unmanned mining. The results presented here can provide theoretical and technical support for the structural optimization and intelligent travel control of roadheaders. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Friction between the roadheader and roadway.</p>
Full article ">Figure 2
<p>Roadheader steering diagram on an inclined roadway.</p>
Full article ">Figure 3
<p>Dynamics diagram of roadheader’s rectification.</p>
Full article ">Figure 4
<p>Analysis of roadheader’s driving performance, (<b>a</b>) Analysis of ditching capacity, (<b>b</b>) Analysis of obstacle crossing ability.</p>
Full article ">Figure 5
<p>Site of the uniform motion experiment.</p>
Full article ">Figure 6
<p>Experimental site of the turning motion on slope experiment.</p>
Full article ">Figure 7
<p>Experimental data of uniform motion, (<b>a</b>) Driving Torque of Calculation and Measuring, (<b>b</b>) Deviation Torque.</p>
Full article ">Figure 8
<p>Experimental data of turning motion on slope, (<b>a</b>) Driving Torque of Calculation and Measuring, (<b>b</b>) Deviation Torque.</p>
Full article ">Figure 9
<p>Schematic diagram of roadway environment modeling.</p>
Full article ">Figure 10
<p>The variable particle swarm in the rectification plan.</p>
Full article ">Figure 11
<p>The minimum fitness curve of the two algorithms, PSO and VPSO, (<b>a</b>) The fitness variation of A function, (<b>b</b>) The fitness variation of G function.</p>
Full article ">Figure 12
<p>Simulation of the roadheader’s rectification path plan.</p>
Full article ">Figure 13
<p>Simulation of the rectification points searching and tracking algorithm.</p>
Full article ">
15 pages, 3372 KiB  
Article
The Effects of Internal Erosion on the Physical and Mechanical Properties of Tailings under Heavy Rainfall Infiltration
by Rong Gui and Guicheng He
Appl. Sci. 2021, 11(20), 9496; https://doi.org/10.3390/app11209496 - 13 Oct 2021
Cited by 6 | Viewed by 2326
Abstract
The stability of tailings dam will be affected by the internal erosion under unsteady seepage caused by heavy rainfall infiltration which changes the physical and mechanical properties of tailings. In this paper, the hydraulic sedimentary model was established to investigate the effects of [...] Read more.
The stability of tailings dam will be affected by the internal erosion under unsteady seepage caused by heavy rainfall infiltration which changes the physical and mechanical properties of tailings. In this paper, the hydraulic sedimentary model was established to investigate the effects of dry beach slope on the sedimentary characteristics of tailings in upstream tailings dam, and the results indicated that the dry beach with a larger slope has a more obvious stratification of tailings. Additionally, the sand column model was built to investigate the effects of internal erosion on the physical and mechanical properties of sedimentary tailings under unsteady seepage, and the results indicated that the migration of fine-grained tailings was caused by internal erosion increases the permeability and reduces the shear strength of the tailings. After internal erosion of tailings under heavy rainfall in 50 years return period for 24 h, the average particle size of downstream tailings (sample DT), midstream tailings (sample MT), and upstream tailings (sample UT) increased by 6.4%, 12.0%, and 2.4%, respectively, the hydraulic conductivity of the samples DT, MT, and UT increased by 27.2%, 17.9%, and 15.3%, respectively, and the shear strength of each samples decreased by 20.9%, 15.1%, and 12.4%, respectively. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Sedimentary and seepage characteristics of upstream tailings dam.</p>
Full article ">Figure 2
<p>Particle size distribution curve of raw tailings sample.</p>
Full article ">Figure 3
<p>Schematic diagram of the physical model for the tailings hydraulic sedimentary test.</p>
Full article ">Figure 4
<p>Actual flow rate of tailings slurry at the discharge outlet.</p>
Full article ">Figure 5
<p>Particle size distribution curves of sedimentary tailings samples at different slopes. (<b>a</b>) 1% slope. (<b>b</b>) 1.5% slope. (<b>c</b>) 2% slope.</p>
Full article ">Figure 5 Cont.
<p>Particle size distribution curves of sedimentary tailings samples at different slopes. (<b>a</b>) 1% slope. (<b>b</b>) 1.5% slope. (<b>c</b>) 2% slope.</p>
Full article ">Figure 6
<p>The relationship between average particle size <span class="html-italic">D</span><sub>50</sub> and the distance of sampling point from upstream dam <span class="html-italic">L</span>.</p>
Full article ">Figure 7
<p>Schematic diagram of unsteady seepage model.</p>
Full article ">Figure 8
<p>Changes in hydraulic conductivity with time under unsteady seepage.</p>
Full article ">Figure 9
<p>Comparison of particle-size distribution curves of tailings samples before and after internal erosion. (<b>a</b>) Sample DT. (<b>b</b>) Sample MT. (<b>c</b>) Sample UT.</p>
Full article ">Figure 9 Cont.
<p>Comparison of particle-size distribution curves of tailings samples before and after internal erosion. (<b>a</b>) Sample DT. (<b>b</b>) Sample MT. (<b>c</b>) Sample UT.</p>
Full article ">
16 pages, 8381 KiB  
Article
A Fast Calculation Method for Improving the Steering Arm of Mining Trucks with Macpherson Suspension
by Jianwei Wu, Qidi Fu, Jianrun Zhang and Beibei Sun
Appl. Sci. 2021, 11(18), 8614; https://doi.org/10.3390/app11188614 - 16 Sep 2021
Cited by 2 | Viewed by 2319
Abstract
The steering arm has recently been frequently broken in a kind of mining truck with Macpherson suspension. To accelerate replacing the broken parts and minimize the economic cost, a fast calculation method for improving the steering arm is proposed in this paper. In [...] Read more.
The steering arm has recently been frequently broken in a kind of mining truck with Macpherson suspension. To accelerate replacing the broken parts and minimize the economic cost, a fast calculation method for improving the steering arm is proposed in this paper. In this method, the forces on the steering arm are calculated by quasi-static analysis under a low vehicle velocity. Dynamic characteristics of the tire and road are partly included by considering the ranges of the rolling resistance coefficient and friction coefficient from the empirical values, which determines the torque on the steering arm under extreme conditions. The rigid–flexible coupling model for the left steering mechanism in ANSYS Workbench is established and solved to obtain the distribution stress on the steering arm under extreme conditions. Then, the reliability of the simulation results based on this fast calculation method is verified by the experiment. After determining an improvement scheme considering the economic and time cost, the satisfactory strength is obtained. The results illustrate that the strength of the improved steering arm has nearly doubled. Finally, the effectiveness of the improved steering arm is demonstrated by the users’ feedback after it is manufactured, installed, and used. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Framework of the paper.</p>
Full article ">Figure 2
<p>Macpherson suspension system integrated the steering mechanism.</p>
Full article ">Figure 3
<p>Fractured steering arm.</p>
Full article ">Figure 4
<p>Force analysis on the tire.</p>
Full article ">Figure 5
<p>Torque on the steering arm with different rolling resistance coefficients and friction coefficients.</p>
Full article ">Figure 6
<p>Relationship between the torque on the steering arm and the height of the obstacle.</p>
Full article ">Figure 7
<p>Left steering mechanism.</p>
Full article ">Figure 8
<p>Rigid–flexible coupling model of the left steering mechanism.</p>
Full article ">Figure 9
<p>Von Mises stress distribution on the steering arm.</p>
Full article ">Figure 10
<p>Stress test of the front axle system.</p>
Full article ">Figure 11
<p>Test road for the mining truck.</p>
Full article ">Figure 12
<p>Test points on the steering arm.</p>
Full article ">Figure 13
<p>Strain responses on the steering arm.</p>
Full article ">Figure 14
<p>Responses of the maximum principal stress on test points 1 and 2.</p>
Full article ">Figure 15
<p>Amplitude spectra of the maximum principal stress on test points 1 and 2.</p>
Full article ">Figure 16
<p>Stress distribution of the maximum principal stress on the steering arm.</p>
Full article ">Figure 17
<p>Improvement scheme 1.</p>
Full article ">Figure 18
<p>Improvement schemes 2 and 3.</p>
Full article ">Figure 19
<p>Von Mises stress distribution on the improved steering arm.</p>
Full article ">Figure 20
<p>Real product of the improved steering arm.</p>
Full article ">
22 pages, 6841 KiB  
Article
Biomonitoring Studies and Preventing the Formation of Biogenic H2S in the Wierzchowice Underground Gas Storage Facility
by Anna Turkiewicz, Teresa Steliga, Dorota Kluk and Zbigniew Gminski
Energies 2021, 14(17), 5463; https://doi.org/10.3390/en14175463 - 2 Sep 2021
Cited by 5 | Viewed by 1809
Abstract
The article discusses the results of biomonitoring research at the Underground Gas Storage (UGS). Hydrogen sulphide, as one of the products of microbiological reaction and transformation, as well as a product of chemical reactions in rocks, is a subject of interest for global [...] Read more.
The article discusses the results of biomonitoring research at the Underground Gas Storage (UGS). Hydrogen sulphide, as one of the products of microbiological reaction and transformation, as well as a product of chemical reactions in rocks, is a subject of interest for global petroleum companies. The materials used in this research work were formation waters and stored natural gas. The biomonitoring of reservoir waters and cyclical analyses of the composition of gas stored at UGS Wierzchowice enabled the assessment of the microbiological condition of the reservoir environment and individual storage wells in subsequent years of operation. Investigations of the formation water from individual wells of the UGS Wierzchowice showed the presence of sulphate reducing bacteria bacteria (SRB), such as Desulfovibrio and Desulfotomaculum genera and bacteria that oxidize sulphur compounds. In the last cycles of UGS Wierzchowice, the content of hydrogen sulphide and sulphides in the reservoir waters ranged from 1.22 to 15.5 mg/dm3. The monitoring of natural gas received from UGS production wells and observation wells, which was carried out in terms of the determination of hydrogen sulphide and organic sulphur compounds, made it possible to observe changes in their content in natural gas in individual storage cycles. In the last cycles of UGS Wierzchowice, the content of hydrogen sulphide in natural gas from production wells ranged from 0.69 to 2.89 mg/dm3, and the content of organic sulphur compounds converted to elemental sulphur ranged from 0.055 to 0.130 mg Sel./Nm3. A higher hydrogen sulphide content was recorded in natural gas from observation wells in the range of 2.02–25.15 mg/Nm3. In order to explain the causes of hydrogen sulphide formation at UGS Wierzchowice, isotopic analyses were performed to determine the isotope composition of δ34SH2S, δ34SSO4, δ18OSO4 in natural gas samples (production and observation wells) and in the deep sample of reservoir water. The results of isotope tests in connection with microbiological tests, chromatographic analyses of sulphur compounds in natural gas collected from UGS Wierzchowice and an analysis of the geological structure of the Wierzchowice deposit allow us to conclude that the dominant processes responsible for the formation of hydrogen sulphide at UGS Wierzchowice are microbiological, consisting of microbial sulphate reduction (MSR). The presented tests allow for the control and maintenance of hydrogen sulphide at a low level in the natural gas received from the Wierzchowice Underground Gas Storage facility. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Hexahydro-1,3,5-tris(hydroxyethyl)-s-triazine chemical structural formula.</p>
Full article ">Figure 2
<p>Content of hydrogen sulphide and sulphides in formation waters of selected Wierzchowice UGS wells; cycles XVIII-XXII (average values from three series for every well in subsequent cycles).</p>
Full article ">Figure 3
<p>A comparison of hydrogen sulphide content in gas from operational horizontal wells in clusters A and B of the Wierzchowice Underground Gas Storage facility (series I–III).</p>
Full article ">Figure 4
<p>A comparison of the content of organic sulphur compounds in the gas from the exploitation horizontal wells of the A and B clusters of UGS Wierzchowice (series I–III).</p>
Full article ">Figure 5
<p>A comparison of H<sub>2</sub>S content in natural gas from individual horizontal wells in the XXV exploitation cycle.</p>
Full article ">Figure 6
<p>A comparison of the content of organic sulphur compounds in natural gas from individual horizontal wells in clusters A and B of the Wierzchowice Underground Gas Storage facility in the XXV exploitation cycle (III measurement series).</p>
Full article ">Figure 7
<p>A comparison of the total content of organic sulphur compounds converted to Sel. in natural gas from individual horizontal wells of the Wierzchowice Underground Gas Storage facility in the XXV exploitation cycle.</p>
Full article ">Figure 8
<p>A comparison of the hydrogen sulphide content in the gas from the operational horizontal wells in the A and B clusters of the Wierzchowice Underground Gas Storage facility (series III), cycles XIX–XXIV.</p>
Full article ">Figure 9
<p>A comparison of the organic sulphur compounds converted to S<sub>el.</sub> content in the gas from the operational horizontal wells in the A and B clusters of the Wierzchowice Underground Gas Storage facility (series III), cycles XIX–XXIV.</p>
Full article ">Figure 10
<p>Map of the distribution of hydrogen sulphide content in natural gas from individual wells of the Wierzchowice Underground Gas Storage facility (series III, cycle XXIII).</p>
Full article ">Figure 11
<p>Map of the distribution of hydrogen sulphide content in natural gas from individual wells of the Wierzchowice Underground Gas Storage facility (series III, cycle XXV).</p>
Full article ">
17 pages, 3442 KiB  
Article
Feasibility Study of Low Mass and Low Energy Consumption Drilling Devices for Future Space (Mining Surveying) Missions
by Adam Jan Zwierzyński, Wojciech Teper, Rafał Wiśniowski, Andrzej Gonet, Tomasz Buratowski, Tadeusz Uhl and Karol Seweryn
Energies 2021, 14(16), 5005; https://doi.org/10.3390/en14165005 - 15 Aug 2021
Cited by 6 | Viewed by 3115
Abstract
The global climate crisis forces the search for new ecological sources of energy and mining methods. Space mining can solve those problems, but, first, wide geological surveying space missions using drilling methods are necessary. Additionally, drilling methods will be important in geological, life [...] Read more.
The global climate crisis forces the search for new ecological sources of energy and mining methods. Space mining can solve those problems, but, first, wide geological surveying space missions using drilling methods are necessary. Additionally, drilling methods will be important in geological, life searching, geoengineering, and many other studies of extraterrestrial objects. Space is becoming a new area of possible drilling applications. Designing future space drilling missions requires adapting drilling technologies, not only to the conditions of the space environment, but also to the economic and technological realities of the space industry. The possibility of constructing low mass coring devices with energy consumption below 100 W was investigated in this paper. Minimization of energy consumption and mass of a coring is essential for the device to be used in space missions, when lander instruments supplied by low power electric battery are expected to work reliably and the launch cost (depending of mass) at an economically acceptable level. Some similar devices investigated for the future space missions are known from papers listed in the references. To answer whether or not it is possible to build such devices, the authors performed initial drillability tests. The obtained results are presented in this paper. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Drillability test stand: (<b>a</b>) 3D CAD model; (<b>b</b>) test stand with power supply and weights; (<b>c</b>) test stand during tests—dial indicator is used to measure drilling depth.</p>
Full article ">Figure 2
<p>Power consumption during drillability test performed for grey foamglas F sample using Makita coring bit for three different motor’s power supply voltage: 24, 16, and 8 V. WOB = 27.27 N.</p>
Full article ">Figure 3
<p>Power consumption during drillability test performed for black foamglas F sample using Makita coring bit for three different motor’s power supply voltage: 24, 16, and 8 V. WOB = 27.27 N.</p>
Full article ">Figure 4
<p>Power consumption during drillability test performed for white foamglas S sample using Makita coring bit with motor’s power supply voltage 24 V. WOB = 27.27 N.</p>
Full article ">Figure 5
<p>Power consumption during drillability test performed for Ytong (compression strength Re = 6 MPa) sample using Makita coring bit with motor’s power supply voltage 24, 16, and 8 V. WOB = 27.27 N.</p>
Full article ">Figure 6
<p>Drilling speed during drillability test performed for Ytong (compression strength Re = 6 MPa) sample using Makita coring bit with motor’s power supply voltage 24, 16, and 8 V. WOB = 27.27 N.</p>
Full article ">Figure 7
<p>Power consumption during drillability test performed for Szydłowiec sandstone A—soft sample with motor’s power supply voltage 24 V, Makita and Bosch coring bits, weight on bit (WOB) 76.32 N and 105.75 N, respectively.</p>
Full article ">Figure 8
<p>Drilling speed during drillability test performed for Szydłowiec sandstone A—soft sample with motor’s power supply voltage 24 V, Makita and Bosch coring bits, weight on bit (WOB) 76.32 N and 105.75 N, respectively.</p>
Full article ">Figure 9
<p>Power consumption during Bosch coring bit test performed on Szydłowiec sandstone A—soft sample with motor’s power supply voltage 24 V and weight on bit (WOB) 105.75 N.</p>
Full article ">Figure 10
<p>Drilling speed during Bosch coring bit test performed on Szydlowiec sandstone A—soft sample with motor’s power supply voltage 24 V and weight on bit (WOB) 105.75 N.</p>
Full article ">Figure 11
<p><b>Drillability tests results:</b> (<b>a</b>) for sample 1 (grey foamglas F) using Makita coring bit, WOB = 27.27 N; (<b>b</b>) for sample 2 (black foamglas F) using Makita coring bit, WOB = 27.27 N. Two collected cores visible in the picture; (<b>c</b>) for sample 4 (Ytong Rc = 6 MPa) using Makita coring bit, WOB = 27.27 N. Three collected cores visible in the picture; (<b>d</b>) for sample 5 (Szydłowiec sandstone A—soft), using Makita coring bit, WOB = 76.32 N. <b>Drillability tests</b>—<b>Bosch coring bit tests:</b> performed on sample 5 (Szydłowiec sandstone A—soft), WOB = 105.75 N: (<b>e</b>) Bosch coring bit cleaned before test; (<b>f</b>) Contaminations on Bosch coring bit matrix. <b>Drillability tests results:</b> obtained using Bosch coring bit, WOB = 105.75 N: (<b>g</b>) for sample 6 (Szydłowiec sandstone B—middle); (<b>h</b>) for sample 7 (Szydłowiec sandstone C—hard); (<b>i</b>) for sample 8 (massive reef limestone); (<b>j</b>) for sample 9 (bituminous shale)—drilling process; (<b>k</b>) for sample 9 (bituminous shale)—drilling effects; (<b>l</b>) for sample 10 (sandstone (core)); (<b>m</b>) for sample 11 (pudding stone).</p>
Full article ">Figure 11 Cont.
<p><b>Drillability tests results:</b> (<b>a</b>) for sample 1 (grey foamglas F) using Makita coring bit, WOB = 27.27 N; (<b>b</b>) for sample 2 (black foamglas F) using Makita coring bit, WOB = 27.27 N. Two collected cores visible in the picture; (<b>c</b>) for sample 4 (Ytong Rc = 6 MPa) using Makita coring bit, WOB = 27.27 N. Three collected cores visible in the picture; (<b>d</b>) for sample 5 (Szydłowiec sandstone A—soft), using Makita coring bit, WOB = 76.32 N. <b>Drillability tests</b>—<b>Bosch coring bit tests:</b> performed on sample 5 (Szydłowiec sandstone A—soft), WOB = 105.75 N: (<b>e</b>) Bosch coring bit cleaned before test; (<b>f</b>) Contaminations on Bosch coring bit matrix. <b>Drillability tests results:</b> obtained using Bosch coring bit, WOB = 105.75 N: (<b>g</b>) for sample 6 (Szydłowiec sandstone B—middle); (<b>h</b>) for sample 7 (Szydłowiec sandstone C—hard); (<b>i</b>) for sample 8 (massive reef limestone); (<b>j</b>) for sample 9 (bituminous shale)—drilling process; (<b>k</b>) for sample 9 (bituminous shale)—drilling effects; (<b>l</b>) for sample 10 (sandstone (core)); (<b>m</b>) for sample 11 (pudding stone).</p>
Full article ">
20 pages, 6724 KiB  
Article
Numerical Study on Damage Zones Induced by Excavation and Ventilation in a High-Temperature Tunnel at Depth
by Jianyu Li, Hong Li, Zheming Zhu, Ye Tao and Chun’an Tang
Energies 2021, 14(16), 4773; https://doi.org/10.3390/en14164773 - 5 Aug 2021
Cited by 8 | Viewed by 2125
Abstract
Geothermal power is being regarded as depending on techniques derived from hydrocarbon production in worldwide current strategy. However, it has artificially been developed far less than its natural potentials due to technical restrictions. This paper introduces the Enhanced Geothermal System based on Excavation [...] Read more.
Geothermal power is being regarded as depending on techniques derived from hydrocarbon production in worldwide current strategy. However, it has artificially been developed far less than its natural potentials due to technical restrictions. This paper introduces the Enhanced Geothermal System based on Excavation (EGS-E), which is an innovative scheme of geothermal energy extraction. Then, based on cohesion-weakening-friction-strengthening model (CWFS) and literature investigation of granite test at high temperature, the initiation, propagation of excavation damaged zones (EDZs) under unloading and the EDZs scale in EGS-E closed to hydrostatic pressure state is studied. Finally, we have a discussion about the further evolution of surrounding rock stress and EDZs during ventilation is studied by thermal-mechanical coupling. The results show that the influence of high temperature damage on the mechanical parameters of granite should be considered; Lateral pressure coefficient affects the fracture morphology and scale of tunnel surrounding rock, and EDZs area is larger when the lateral pressure coefficient is 1.0 or 1.2; Ventilation of high temperature and high in-situ stress tunnel have a significant effect on the EDZs scale; Additional tensile stress is generated in the shallow of tunnel surrounding rock, and the compressive stress concentration transfers to the deep. EDZs experiences three expansion stages of slow, rapid and deceleration with cooling time, and the thermal insulation layer prolongs the slow growth stage. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Schematic illustration of the EGS-E conceptual model.</p>
Full article ">Figure 2
<p>Stress-strain curves of Granite during uniaxial compression under various temperatures [<a href="#B24-energies-14-04773" class="html-bibr">24</a>].</p>
Full article ">Figure 3
<p>Major changes in rock at elevated temperatures [<a href="#B32-energies-14-04773" class="html-bibr">32</a>].</p>
Full article ">Figure 4
<p>Damage profile of a tunnel excavated at depth 420 m within massive hard rock in Canada [<a href="#B35-energies-14-04773" class="html-bibr">35</a>].</p>
Full article ">Figure 5
<p>Sidewall spalling, floor softening, fracture extension and hangingwall falling out induced by tunnel or stope excavations. Schemes follow another format. (<b>a</b>) Wall spalling and floor softening caused by excavating drift tunnel within rock salt in Germany [<a href="#B36-energies-14-04773" class="html-bibr">36</a>]; (<b>b</b>) Hangingwall falls out along the primary fracture extension both caused by a 3300 m deep gold mining within hard orebody Ventersdrop Contact Reef in South Africa [<a href="#B37-energies-14-04773" class="html-bibr">37</a>].</p>
Full article ">Figure 6
<p>The S-shaped or three-segment polyline envelope as in-situ rock excavation strength [<a href="#B39-energies-14-04773" class="html-bibr">39</a>].</p>
Full article ">Figure 7
<p>Simplified schematic illustration of typical CWFS model usage [<a href="#B51-energies-14-04773" class="html-bibr">51</a>].</p>
Full article ">Figure 8
<p>The front view of the model and its meshing system (no discretization in thickness).</p>
Full article ">Figure 9
<p>Progressive changes of surrounding rock caused by inner boundary unloading: growth of failure zones (the <b>upper</b>) and contour of the maximum principal stress (the <b>lower</b>).</p>
Full article ">Figure 10
<p>Stress state of surrounding rock along radial horizon.</p>
Full article ">Figure 11
<p>Effect of various coefficients of lateral pressure on EDZs.</p>
Full article ">Figure 11 Cont.
<p>Effect of various coefficients of lateral pressure on EDZs.</p>
Full article ">Figure 12
<p>Some footnote about log-spiral shear-failure slip lines.</p>
Full article ">Figure 13
<p>The meshing of thermal insulation liner which is quarterly shown as its symmetry.</p>
Full article ">Figure 14
<p>Temperature radially distributed across ventilation entrance along with time.</p>
Full article ">Figure 15
<p>Stress state along the cross radial horizon of circular tunnel in the end of ventilation cooling.</p>
Full article ">Figure 16
<p>Evolution law of EDZs with the time of ventilating and cooling inside tunnel.</p>
Full article ">
19 pages, 5788 KiB  
Article
The Setting of Strength Parameters in Stability Analysis of Open-Pit Slope Using the Random Set Method in the Bełchatów Lignite Mine, Central Poland
by Elżbieta Pilecka, Jacek Stanisz, Robert Kaczmarczyk and Andrzej Gruchot
Energies 2021, 14(15), 4609; https://doi.org/10.3390/en14154609 - 29 Jul 2021
Cited by 4 | Viewed by 2060
Abstract
The slopes of open-pit mines are often at risk of failure. To identify this hazard, stability analyses are performed. An important element of these stability analyses is the reliable selection of input parameter values for the calculations. This selection is difficult because the [...] Read more.
The slopes of open-pit mines are often at risk of failure. To identify this hazard, stability analyses are performed. An important element of these stability analyses is the reliable selection of input parameter values for the calculations. This selection is difficult because the slopes of the open pit are disturbed by mining activities. In such conditions, rheological processes, intensified by weathering, develop in open-pit slopes. This study is aimed at setting the strength parameters for the stability analysis of open-pit slopes with a developed slide process, using the random set method. The study was performed on the example of the open pit of the Bełchatów lignite mine, central Poland. A four-stage methodology, according to the random set method, was proposed. The methodology covered the following: site investigation, sensitivity analyses, shear strength reduction (SSR) analyses using numerical calculations, and probability analyses of the factor of safety (FoS) calculation results. The setting of the input parameters took into account the peak and residual strength parameters for each lithological unit in the physical model of the open-pit slope. Samples for laboratory tests were taken from the cores of nine test boreholes. The sensitivity analysis included all peak and residual strength parameters for each lithological unit in the body. As a result of the sensitivity analysis, specific strength parameters were adopted that would have a great impact upon the results of the calculations. Selected sets of parameter values were then used for the FoS calculations. The resultant FoS values revealed the probable slide planes. The positions of the slide planes were consistent with the interpreted slide surfaces based on the control boreholes and terrain observations. Knowledge of the slide planes positions and the values of the strength parameters enabled the designing of a securing approach for this landslide, and the taking of preventive measures to reduce this risk. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Stress-displacement curves (left-hand side) and failure lines of over-consolidated (OC) and normal consolidated (NC) clay (right-hand side), (based on [<a href="#B9-energies-14-04609" class="html-bibr">9</a>]); description in the text.</p>
Full article ">Figure 2
<p>The sketch of the 18S landslide location on the Bełchatów mining area.</p>
Full article ">Figure 3
<p>(<b>a</b>) Sketch of 18S landslide; (<b>b</b>) crown and main scarp of the landslide on the level +205 m a.s.l.; (<b>c</b>) colluvium fragment on the level +78 m (photo by R. Kaczmarczyk).</p>
Full article ">Figure 4
<p>Characteristic geological profiles based on B-3 and B-7 boreholes in the region of the 18S landslide in the Bełchatów mine.</p>
Full article ">Figure 5
<p>Scheme of the research methodology for the 18S landslide in the slope of the Bełchatów open-pit mine.</p>
Full article ">Figure 6
<p>An example view of the complex structure and properties of the colluvium in the research area: (<b>a</b>) visible clay inclusions in the main lignite seam A; (<b>b</b>) contact zone between lignite and clay; (<b>c</b>) waterlogged contact zone between clay and marl (photo by R. Kaczmarczyk).</p>
Full article ">Figure 7
<p>Histograms of shear stress vs. shear strain dependence for lithological units: (<b>a</b>) clay–sand unit LI; (<b>b</b>) clay of the LII unit; (<b>c</b>) clay–lignite–silt unit LIII; (<b>d</b>) lignite unit LIV. The upper edge of the box indicates quartile III, and the lower edge is quartile I. The boundary line in the box indicates the arithmetic mean. The values between quartile I and the arithmetic mean are marked in orange. The values between quartile III and the mean value are marked in blue. The lines above and below the block indicate the minimum and maximum values.</p>
Full article ">Figure 8
<p>Cross-section I-I’ along the longitudinal axis of the landslide.</p>
Full article ">Figure 9
<p>Input data–bulk density, cohesion, and internal friction angle presented as random sets for lithological units: (<b>a</b>,<b>e</b>,<b>i</b>) LI; (<b>b</b>,<b>f</b>,<b>j</b>) LII; (<b>c</b>,<b>g</b>,<b>k</b>) LIII; (<b>d</b>,<b>h</b>,<b>l</b>) LIV.</p>
Full article ">Figure 10
<p>Sensitivity diagram of parameters adopted for the numerical stability analysis of the 18S landslide in the Bełchatów open-pit mine.</p>
Full article ">Figure 11
<p>Calculation model of the 18S landslide in the Bełchatów open-pit mine.</p>
Full article ">Figure 12
<p>Location of the generalised slide planes with assigned factors of safety less than 1.1 and slide surface identified in boreholes.</p>
Full article ">Figure 13
<p>Graph of the lower and upper bounds of cumulative probability of factor of safety approximated by normal distribution functions.</p>
Full article ">
19 pages, 48108 KiB  
Article
Gravity Analysis for Subsurface Characterization and Depth Estimation of Muda River Basin, Kedah, Peninsular Malaysia
by Muhammad Noor Amin Zakariah, Norsyafina Roslan, Norasiah Sulaiman, Sean Cheong Heng Lee, Umar Hamzah, Khairul Arifin Mohd Noh and Wien Lestari
Appl. Sci. 2021, 11(14), 6363; https://doi.org/10.3390/app11146363 - 9 Jul 2021
Cited by 8 | Viewed by 4869
Abstract
Gravity survey is one of the passive geophysical techniques commonly used to delineate geological formations, especially in determining basement rock and the overlying deposit. Geologically, the study area is made up of thick quaternary alluvium deposited on top of the older basement rock. [...] Read more.
Gravity survey is one of the passive geophysical techniques commonly used to delineate geological formations, especially in determining basement rock and the overlying deposit. Geologically, the study area is made up of thick quaternary alluvium deposited on top of the older basement rock. The Muda River basin constitutes, approximately, of more than 300 m of thick quaternary alluvium overlying the unknown basement rock type. Previous studies, including drilling and geo-electrical resistivity surveys, were conducted in the area but none of them managed to conclusively determine the basement rock type and depth precisely. Hence, a regional gravity survey was conducted to determine the thickness of the quaternary sediments prior to assessing the sustainability of the Muda River basin. Gravity readings were made at 347 gravity stations spaced at 3–5 km intervals using Scintrex CG-3 covering an area and a perimeter of 9000 km2 and 730 km, respectively. The gravity data were then conventionally reduced for drift, free air, latitude, Bouguer, and terrain corrections. These data were then consequently analyzed to generate Bouguer, regional and total horizontal derivative (THD) anomaly maps for qualitative and quantitative interpretations. The Bouguer gravity anomaly map shows low gravity values in the north-eastern part of the study area interpreted as representing the Main Range granitic body, while relatively higher gravity values observed in the south-western part are interpreted as representing sedimentary rocks of Semanggol and Mahang formations. Patterns observed in the THD anomaly and Euler deconvolution maps closely resembled the presence of structural features such as fault lineaments dominantly trending along NW-SE and NE-SW like the trends of topographic lineaments in the study area. Based on power spectral analysis of the gravity data, the average depth of shallow body, representing alluvium, and deep body, representing underlying rock formations, are 0.5 km and 1.2 km, respectively. The thickness of Quaternary sediment and the depth of sedimentary formation can be more precisely estimated by other geophysical techniques such as the seismic reflection survey. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>The Muda River basin is shown bordered in red. The Muda River is the natural geographical border of at least four major districts in Kedah which are Sik, Baling, Kuala Muda and Kulim.</p>
Full article ">Figure 2
<p>Geological map of Kedah.</p>
Full article ">Figure 3
<p>Stratigraphy chart of the Muda River basin. Modified after [<a href="#B23-applsci-11-06363" class="html-bibr">23</a>].</p>
Full article ">Figure 4
<p>Topography and location map. The eastern part of the study area is dominated by Main Range granite and Bintang Range granite. Due to the extreme topographic region, most of the stations of gravity can only be established on low and flat land.</p>
Full article ">Figure 5
<p>A workflow diagram for gravity anomaly maps. The horizontal arrows indicate the analyzes while the vertical arrows indicate the products.</p>
Full article ">Figure 6
<p>(<b>a</b>) complete Bouguer anomaly (CBA) map; (<b>b</b>) Regional CBA anomaly map; (<b>c</b>) Residual CBA anomaly map; (<b>d</b>) THD Map. All the maps were overlayed with the geological contacts between formations of Mahang (Mhg), Semanggol (Smgl), Kubang Pasu (KP), Jerai (J), and granitic (Gn) batholite.</p>
Full article ">Figure 6 Cont.
<p>(<b>a</b>) complete Bouguer anomaly (CBA) map; (<b>b</b>) Regional CBA anomaly map; (<b>c</b>) Residual CBA anomaly map; (<b>d</b>) THD Map. All the maps were overlayed with the geological contacts between formations of Mahang (Mhg), Semanggol (Smgl), Kubang Pasu (KP), Jerai (J), and granitic (Gn) batholite.</p>
Full article ">Figure 7
<p>(<b>a</b>) Lineament traced from topography map; (<b>b</b>) Comparison of lineament trend traced from THD residual anomaly map and topography map.</p>
Full article ">Figure 8
<p>Comparison of the rose diagrams between (<b>a</b>) Topographic lineament traced; (<b>b</b>) THD residual anomaly traced.</p>
Full article ">Figure 9
<p>Two Euler solutions of the Bouguer anomaly map of structural index = 0.0, with a window size of (<b>a</b>) 20 km × 20 km; (<b>b</b>) 5 km × 5 km.</p>
Full article ">Figure 10
<p>Power spectrum location map.</p>
Full article ">Figure 11
<p>Log of spectra power vs. wavenumber of (<b>a</b>) Point 1; (<b>b</b>) Point 2; (<b>c</b>) Point 3; (<b>d</b>) Point 4; (<b>e</b>) Point 5; (<b>f</b>) Point 6; (<b>g</b>) Point 7; (<b>h</b>) Point 8.</p>
Full article ">Figure 11 Cont.
<p>Log of spectra power vs. wavenumber of (<b>a</b>) Point 1; (<b>b</b>) Point 2; (<b>c</b>) Point 3; (<b>d</b>) Point 4; (<b>e</b>) Point 5; (<b>f</b>) Point 6; (<b>g</b>) Point 7; (<b>h</b>) Point 8.</p>
Full article ">Figure 12
<p>(<b>a</b>) Depth to shallow source map; (<b>b</b>) Depth to deep source map.</p>
Full article ">Figure 13
<p>The red region indicates the extension of the granite body passing through the deep and shallow sources. The white dash line shows the downward basin depression.</p>
Full article ">Figure 14
<p>(<b>a</b>) Line A-A’; (<b>b</b>) Line B-B’; (<b>c</b>) Line C-C’; (<b>d</b>) Line D-D’.</p>
Full article ">
16 pages, 5784 KiB  
Article
The Impact of High-Energy Mining-Induced Tremor in a Fault Zone on Damage to Buildings
by Elżbieta Pilecka, Krystyna Stec, Jacek Chodacki, Zenon Pilecki, Renata Szermer-Zaucha and Krzysztof Krawiec
Energies 2021, 14(14), 4112; https://doi.org/10.3390/en14144112 - 7 Jul 2021
Cited by 11 | Viewed by 2000
Abstract
Seismic energy propagation from the hypocentre of mining-induced tremors usually causes an uneven distribution of the peak ground velocity PGVHmax in tectonically complicated structures, and consequently, an uneven distribution of damage to buildings located on the ground surface. This study aimed to [...] Read more.
Seismic energy propagation from the hypocentre of mining-induced tremors usually causes an uneven distribution of the peak ground velocity PGVHmax in tectonically complicated structures, and consequently, an uneven distribution of damage to buildings located on the ground surface. This study aimed to estimate the impact of high-energy mining-induced tremors in fault zones on damage to buildings. In the study, we describe a case of one of the highest-energy mining-induced tremors E = 4.0 · 108 J (local magnitude ML = 3.6) that occurred in the Upper Silesian Coal Basin (USCB), Poland. The hypocentre of the tremor was most probably located in the Barbara fault zone, one of the larger faults in that western part of the USCB. Numerous damaged buildings on the terrain surface were registered, both in the epicentral zone and at a greater distance from the epicentre, mostly from the southern side of the Barbara fault zone. We calculated that the tremor was characterised by a normal slip mechanism associated with the same kind of fault as the Barbara fault. The azimuth of the nodal planes was similar to the west-east direction, which is consistent with the azimuth of the Barbara fault. From the focal mechanism, the greatest propagation of seismic energy occurred in south and west-east directions from the tremor hypocentre towards the surface. It was found that from the northern side of the hanging wall of the Barbara fault, there were 14 instances of damage (19%), and in the southern part of a hanging wall, there were 58 (81%). Therefore, the directionality of seismic energy propagation is aligned with the focal mechanism acting in the Barbara fault. It has also been concluded that a width of the zone of up to about 1200 m along the Barbara fault is the most threatening on the basis of registered building damage in the geological conditions of USCB. The study has shown that in assessing the impact of mining-induced tremors on buildings and the environment, the disturbance of seismic energy propagation by larger faults should be considered. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Map of mining areas in the Upper Silesian Coal Basin with the location of the tremor source of 8 November 2018, with seismic energy E = 4.0·10<sup>8</sup> J and seismic stations of the Upper Silesian Regional Seismological Network.</p>
Full article ">Figure 2
<p>Cross-section through the research area with the Barbara fault zone and the tremor hypocentre that occurred on 8 November 2018. Description in the text.</p>
Full article ">Figure 3
<p>Sketch of the exploitation of coal seams on both sides of the Barbara fault zone.</p>
Full article ">Figure 4
<p>An example of a seismogram of the tremor of 8 November 2018 with seismic energy E = 4.0 · 10<sup>8</sup> J registered by seismic stations of the Upper Silesian Regional Seismological Network.</p>
Full article ">Figure 5
<p>Map of the vibration amplification factor W<sub>f</sub> isolines of the tremor of 8 November 2018 with AMAX seismometric stations.</p>
Full article ">Figure 6
<p>Theoretical values of PGV<sub>H</sub> with 90% confidence intervals for the tremor of 8 November 2018 against epicentral distance <span class="html-italic">d</span>.</p>
Full article ">Figure 7
<p>The predicted isoline map of PGV<sub>Hmod</sub> with degrees of ground vibration intensity I<sub>MSIIS</sub> and location of damaged buildings for the tremor of 8 November 2018.</p>
Full article ">Figure 8
<p>(<b>a</b>) The characteristic buildings of smaller towns and villages in Upper Silesia in the research area (google.pl/maps); (<b>b</b>,<b>c</b>) the characteristic damages that occurred in single-family residential buildings (own materials).</p>
Full article ">Figure 9
<p>Distribution of PGV<sub>Hmod-DF</sub> at the site of the damaged building in terms of the distance DF from the hanging wall of the Barbara fault and number of damaged buildings from (<b>a</b>) south of the fault and (<b>b</b>) north of the fault.</p>
Full article ">
12 pages, 3538 KiB  
Article
Characteristics of Kaolinitic Raw Materials from the Lokoundje River (Kribi, Cameroon) for Ceramic Applications
by Paul-Désiré Ndjigui, Jean Aimé Mbey, Soureiyatou Fadil-Djenabou, Vincent Laurent Onana, Elie Constantin Bayiga, Christophe Enock Embom and Georges-Ivo Ekosse
Appl. Sci. 2021, 11(13), 6118; https://doi.org/10.3390/app11136118 - 1 Jul 2021
Cited by 6 | Viewed by 2838
Abstract
Eight kaolinitic materials from the Lokoundje River at Kribi were sampled and investigated for their physical, chemical, mineralogical and thermal characteristics in order to evaluate their potential suitability as raw materials in ceramics. The Lokoundje kaolinitic materials are clayey to silty clayey and [...] Read more.
Eight kaolinitic materials from the Lokoundje River at Kribi were sampled and investigated for their physical, chemical, mineralogical and thermal characteristics in order to evaluate their potential suitability as raw materials in ceramics. The Lokoundje kaolinitic materials are clayey to silty clayey and are predominantly composed of kaolinite and quartz. The alkali (Na2O + K2O) content ranges between 1 and 2.5 wt.%; these low values do not favor vitrification of the ceramics but may be improved through flux amendment. The presence of goethite in some samples limits their utilization in white ceramics. The minerals content, color, metallic sound, cohesion, linear shrinkage, flexural strength, bulk density, water absorption and microstructure were determined. The XRD data reveal that kaolinite and goethite were transformed, respectively, into mullite and hematite. The colors of the fired products are characteristic of their mineral assemblage. The metallic sound is indicative of low vitrification which is confirmed by the presence of cracks due to low flux contents. The cohesion is good to very good, due to the abundance of kaolinite. The physicomechanical properties increase with temperature as well as densification. The geochemical data show that the Lokoundje alluvial clays are suitable for the manufacture of white stoneware tiles. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Location map of the study site in the Kribi area around the Cameroonian Atlantic coast (<b>a</b>), a geomorphological map of the Kribi area, including the study site (<b>b</b>), and spatial distribution of alluvial clays in the Lokoundje terrace (<b>c</b>).</p>
Full article ">Figure 2
<p>Plotting of alluvial Lokoundje clays in the clay–sand–silt diagram.</p>
Full article ">Figure 3
<p>Plotting of the Lokoundje alluvial clays in Al<sub>2</sub>O<sub>3</sub>-CaO-(Na<sub>2</sub>O + K<sub>2</sub>O) (<b>a</b>) and Al<sub>2</sub>O<sub>3</sub>-CaO-Fe<sub>2</sub>O<sub>3</sub> (<b>b</b>).</p>
Full article ">Figure 4
<p>Empirical diagram defining suitable domains for different types of tiles: (<b>a</b>) white stoneware tiles; (<b>b</b>) red stoneware tiles; (<b>c</b>) and (<b>d</b>) porous tiles.</p>
Full article ">Figure 5
<p>TG-DSC of Lokoundje alluvial materials.</p>
Full article ">Figure 6
<p>Pictures of specimens.</p>
Full article ">Figure 7
<p>X-ray patterns of the clay sintered at different temperatures: (<b>a</b>) GR3 sample; (<b>b</b>) GR6 sample; I: illite; Q: quartz; M: mullite; R: rutile; He: hematite.</p>
Full article ">Figure 8
<p>Influence of firing temperature on the physical and mechanical properties of Kribi clays: (<b>a</b>) linear shrinkage; (<b>b</b>) weight loss; (<b>c</b>) flexural strength; (<b>d</b>) bulk density and (<b>e</b>) water adsorption.</p>
Full article ">Figure 9
<p>SEM images of the fired products from the Kribi alluvial clays: Gr-3 sample at 1000 °C (<b>a</b>–<b>d</b>); Gr-3 sample at 1100 °C (<b>e</b>–<b>h</b>).</p>
Full article ">
18 pages, 7422 KiB  
Article
Using the Forestry Reclamation Approach for Reclaimed Surface Mineland in the Western Gulf: Effects on Pinus taeda Seedling Growth and Survival
by Cassie Phillips, Jeremy Stovall, Hans Williams and Kenneth Farrish
Forests 2021, 12(7), 845; https://doi.org/10.3390/f12070845 - 26 Jun 2021
Cited by 2 | Viewed by 2183
Abstract
While land reclamation efforts of surface mines have considerably increased soil stability since the implementation of SMCRA (Surface Mining Control and Reclamation Act), research suggests that resulting soil compaction hinders the productivity of forests post-mining. The Forestry Reclamation Approach (FRA) was developed to [...] Read more.
While land reclamation efforts of surface mines have considerably increased soil stability since the implementation of SMCRA (Surface Mining Control and Reclamation Act), research suggests that resulting soil compaction hinders the productivity of forests post-mining. The Forestry Reclamation Approach (FRA) was developed to improve forest health in the Appalachian region through a five-step process that minimizes soil compaction and establishes a productive forest. The FRA has not yet been tested in the western Gulf Coastal Plain (GCP). The higher clay content of some GCP soils and the dearth of coarse fragments (e.g., cobbles, stones and boulders) may affect reclamation practices and the ability of these methods to create productive forests. Compaction caused by conventional reclamation methods in the GCP has not been studied in great detail. Thus, this study attempts to provide a comparison of two reclamation methods, FRA low-compaction method used in the Appalachian region with that of conventional scraper-pan (scraper) methods in the GCP. This study used the FRA with common silvicultural practices of the western Gulf. The two hectare study site was installed with a randomized complete block design with three replicates comparing conventional scraper reclamation used in the region with that of an unmined control and the FRA-style low compaction treatment. Following soil reclamation, containerized loblolly pine (Pinus taeda L.) seedlings of a western Gulf provenance were hand-planted. Soil chemical and physical parameters were assessed on each treatment to determine the effect the FRA and scraper method had on resulting tree seedling growth and survival. After three growing seasons, seedlings in the FRA plots had significantly greater tree volumes than both the scraper (p = 0.0139) and the control (p = 0.0247) treatments. The FRA plots also had a 97% survival rate, while scraper plots had a survival of 86%. The FRA plots had significantly lower soil bulk densities than scraper (p = 0.0353) and control (p < 0.0001) plots which likely influenced growth and survival trends. Soil nutrients were increasingly available on the FRA and scraper plots, likely due to mixing of the soil profile when compared to the unmined control. Leaf-level water potential and gas exchange were not correlated to growth and survival and did not differ among treatments. These results suggest reclamation practices modeled after FRA methods may benefit tree growth and survival in the Western Gulf. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Project site photos taken prior to installation of treatments. Left = photo of soil profile; Right = site photo showing abundance of grasses on the site prior to installation.</p>
Full article ">Figure 2
<p>Oblique aerial imagery taken of the site in May 2018 depicting the RCBD design.</p>
Full article ">Figure 3
<p>A photo taken in June 2017 of a scraper plot (<b>left</b>) contrasted with a photo taken in January 2017 of FRA style reclamation plots showing uncompacted loose soil piles (<b>right</b>).</p>
Full article ">Figure 4
<p>(<b>A</b>) Bulk density of each treatment followed by standard error bars. (<b>B</b>) Mean soil strength followed by standard error bars. Shared letters are not statistically different (α = 0.05).</p>
Full article ">Figure 5
<p>Mean tree seedling volumes by treatment with standard error bars (<b>A</b>) and mean survival rates by treatment (<b>B</b>). Shared letters are not statistically different (α = 0.05).</p>
Full article ">Figure 6
<p>Pre-dawn (<b>A</b>) and mid-day (<b>B</b>) plant moisture stress measurements taken with a PMS Chamber presented by date, treatment and time of sampling.</p>
Full article ">Figure 7
<p>Leaf-level measurements taken with the LICOR 6400 XT sorted by date, treatment and variable measured. <span class="html-italic">C<sub>i</sub></span> = intercellular CO<sub>2</sub> concentration; <span class="html-italic">A<sub>sat</sub></span> = light-saturated photosynthetic rate; <span class="html-italic">g<sub>s</sub></span> = stomatal conductance; <span class="html-italic">E</span> = leaf transpiration.</p>
Full article ">Figure 8
<p><span class="html-italic">C<sub>i</sub></span> correlated with volume (<b>A</b>) and <span class="html-italic">A<sub>sat</sub></span> correlated with seedling survival (<b>B</b>) sorted by treatment, measurements were taken during the third growing season (2018).</p>
Full article ">Figure 9
<p>Mean aboveground biomass (<b>A</b>) and percent cover (<b>B</b>) of all non-pine herbaceous and woody species followed by standard error bars. Shared letters are not statistically different (α = 0.05).</p>
Full article ">
16 pages, 6788 KiB  
Article
Design and Application of Simulating Cutting Experiment System for Drum Shearer
by Tianhao Peng, Changpeng Li and Yanmin Zhu
Appl. Sci. 2021, 11(13), 5917; https://doi.org/10.3390/app11135917 - 25 Jun 2021
Cited by 9 | Viewed by 2354
Abstract
When the shearer cuts coal or rock with different hardness, it will produce corresponding cutting state information. This paper develops a simulation cutting experiment system for the drum shearer based on similarity theory. It took the spiral cutting drum of a shearer as [...] Read more.
When the shearer cuts coal or rock with different hardness, it will produce corresponding cutting state information. This paper develops a simulation cutting experiment system for the drum shearer based on similarity theory. It took the spiral cutting drum of a shearer as the research target and derived the principal similarity coefficients through the dimensional analysis method. Meanwhile, this paper designed the structure of the cutting power system and hydraulic system. Then, it chose a certain amount of coal powder as an aggregate, cement 325# as cementing material, sand, and water as auxiliary materials to prepare simulated coal samples. The paper adopted the orthogonal experiment method and used a proportion of cement, sand, and water as the influencing factors in designing a simulated coal sample preparation plan. In addition, it utilized the range analysis method to research the influence of various factors on the density and compressive strength of simulated coal samples. Finally, it conducted simulated coal sample cutting tests. The results show that the density of the simulated coal samples is between 1192.59 Kg/m3–1483.51 Kg/m3, and the compressive strength range reaches 0.16 MPa–3.94 MPa. The density of the simulated coal sample is related to the mass proportion of cement and sand. When the ratio gradually increases, the influence of sand increases. Furthermore, the compressive strength is linearly proportional to the proportion of cement. The self-designed simulation cutting experiment system could effectively carry out the relevant experiments and obtain the corresponding cutting condition signals through the sensors. There are differences in vibration signals generated by cutting different strength materials. Extracting the kurtosis value as the characteristic value can distinguish various cutting modes, which can provide a reliable experimental solution for the research of coal-rock identification. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Three-dimensional model of the cutting drum.</p>
Full article ">Figure 2
<p>Schematic diagram of the cutting power system.</p>
Full article ">Figure 3
<p>Schematic diagram of the hydraulic system.</p>
Full article ">Figure 4
<p>Preparation of simulated coal sample.</p>
Full article ">Figure 5
<p>Fragmentation diagram of simulated coal sample.</p>
Full article ">Figure 6
<p>Stress-strain curve of simulated coal sample.</p>
Full article ">Figure 7
<p>Trend chart of density influencing factors.</p>
Full article ">Figure 8
<p>Trend chart of influencing factors of compressive strength.</p>
Full article ">Figure 9
<p>Shearer simulation cutting test system.</p>
Full article ">Figure 10
<p>Cutting effect diagram.</p>
Full article ">Figure 11
<p>Installation diagram of the vibration sensor.</p>
Full article ">Figure 12
<p>The waveform of cutting vibration signal.</p>
Full article ">Figure 13
<p>The spectrum of cutting the vibration signal.</p>
Full article ">Figure 14
<p>Kurtosis of cutting vibration signal.</p>
Full article ">
16 pages, 3751 KiB  
Article
Plant Community Structure within a Reclamation Field Trial and Forested Reference Sites in a Post-Mine Environment
by Sean B. Rapai, Brianna Collis, Thomas Henry, Kimberly Lyle, Steven G. Newmaster, Veronika Raizman and Robert H. Hanner
Forests 2021, 12(6), 776; https://doi.org/10.3390/f12060776 - 12 Jun 2021
Cited by 3 | Viewed by 2718
Abstract
Early successional plant community assemblage within a reclamation field trial at the Detour Lake Mine in northeastern Ontario is assessed, and compared with reference forested and historically reclaimed sites. The reclamation field trial examines eight amendment treatment combinations that include treatments with a [...] Read more.
Early successional plant community assemblage within a reclamation field trial at the Detour Lake Mine in northeastern Ontario is assessed, and compared with reference forested and historically reclaimed sites. The reclamation field trial examines eight amendment treatment combinations that include treatments with a winter kill cover crop of oats, fertilizer, biosolids, peat, and combinations thereof. The objectives of this study are to: (1) Investigate how soil amendments influence plant functional group establishment and growth in mine overburden; and (2) Explore the amendment properties that best support the establishment and growth of a plant community that resembles the baseline reference sites. Currently, the presence of non-native species and a dominant woody plant community explains the largest proportion of variance between the forested upland and lowland reference sites and all reclaimed sites. Similar to non-native species, graminoids were absent from the upland forested reference sites. The difference in the graminoid community explains much of the variance between the forested reference sites and all reclaimed sites. The cumulative additions of fertilizer and peat increased alpha diversity of non-native and graminoid plants within the amendment treatments, which had greater alpha diversity of these plant functional groups than the forested reference sites. Within the amendment treatments, non-native and graminoid alpha diversity was initially greater in the nutrient treatments, but by 2019 there was no significant difference in non-native or graminoid alpha diversity between amendment treatments. The results indicate that applications of nutrients through fertilizer or biosolids may increase graminoid alpha diversity and abundance within reclamation units in year 1. The results also confirm that the vascular plant community composition present within the historically reclaimed sites and amendment treatments does not resemble the forested reference sites. The plant community present within the amendment treatment sites is best described as early successional, with the presence of non-native herbaceous legumes dominating the historically reclaimed sites. Despite this, the results indicate that fertilizer and biosolids-based treatments have developed a vascular plant community, excluding woody species that is more similar to the forested reference sites than the peat-based treatments. Further research and long-term monitoring are needed to determine which amendment treatment will best support a plant community that resembles the forested reference sites. In addition, future studies of this nature might consider including wildfire affected and post-harvested forest stands as additional reference sites, to better capture possible plant community trajectories of a severely disturbed environment. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Aerial photo of the reclamation field trial at the Detour Lake Mine.</p>
Full article ">Figure 2
<p>Photograph of each treatment type from August 2019. Subfigure indicates treatment (<b>A</b>) Control, (<b>B</b>) Control + Biosolids, (<b>C</b>) Control + Oats, (<b>D</b>) Control+ Fertilizer, (<b>E</b>) Control+ Oats + Fertilizer, (<b>F</b>) Control + Peat, (<b>G</b>) Control + Peat + Biosolids, (<b>H</b>) Control + Peat + Fertilizer.</p>
Full article ">Figure 3
<p>Mean vascular plant alpha diversity by treatment. Within each year, treatments marked with different letters indicates a statistically significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 4
<p>Mean functional group alpha diversity by treatment and reference site. Within each year, treatments marked with different letters indicates a statistically significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 5
<p>Vascular plant functional groups and amendment treatment ordination using RDA models for 2019 data with soil and site variables.</p>
Full article ">Figure 6
<p>Vascular plant community assemblage ordination using RDA models within the amendment trial treatments and reference sites at the Detour Lake Mine property. (<b>A</b>) provides an ordination diagram that includes all sites (reference sites and treatment sites), while (<b>B</b>) provides an ordination diagram of the treatments only.</p>
Full article ">
18 pages, 3412 KiB  
Article
Multi-Criteria Analysis for the Selection of the Optimal Mining Design Solution—A Case Study on Quarry “Tambura”
by Branimir Farkaš and Ana Hrastov
Energies 2021, 14(11), 3200; https://doi.org/10.3390/en14113200 - 30 May 2021
Cited by 11 | Viewed by 2827
Abstract
Mining design is usually evaluated with different multiple-criteria decision-making (MCDM) methods when it comes to large open pit or underground ore mines, but it is not used on quarry sites. Since Croatia is mostly mining stone, the implementation of such methods in decision [...] Read more.
Mining design is usually evaluated with different multiple-criteria decision-making (MCDM) methods when it comes to large open pit or underground ore mines, but it is not used on quarry sites. Since Croatia is mostly mining stone, the implementation of such methods in decision making of the quarry mine design is imperative but left out. In this paper, the PROMETHEE II and AHP decision-making methods are implemented on the quarry site to find out the best final quarry design contour. By implementing the MCDM methods, the best quarry model was chosen based on 22 different criteria parameters out of three final quarry designs. The chosen model is not only financially sound but also has the least environmental impact. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Algorithm for combined usage of AHP and PROMETHEE II methods.</p>
Full article ">Figure 2
<p>Schematic overview of the analytical hierarchy process.</p>
Full article ">Figure 3
<p>Site location of quarry “Tambura”: (<b>a</b>) site location, (<b>b</b>) top view of quarry “Tambura”, (<b>c</b>) and quarry working face.</p>
Full article ">Figure 4
<p>Models of final quarry contours with overview of selected evaluation criteria.</p>
Full article ">Figure 5
<p>Final ranking of alternative solutions.</p>
Full article ">Figure 6
<p>The structure of main groups of criteria for each model.</p>
Full article ">Figure 7
<p>Cumulative display of the structure of the main groups of criteria for each model.</p>
Full article ">
18 pages, 6876 KiB  
Article
Development of a High-Flux Solar Simulator for Experimental Testing of High-Temperature Applications
by Marco Milanese, Gianpiero Colangelo and Arturo de Risi
Energies 2021, 14(11), 3124; https://doi.org/10.3390/en14113124 - 27 May 2021
Cited by 11 | Viewed by 3186
Abstract
In the last few years, several studies have been carried out on concentrating solar thermal and thermochemical applications. These studies can be further enhanced by means of high-flux solar simulators (HFSS), since they allow the development of experimental tests under controlled irradiance conditions, [...] Read more.
In the last few years, several studies have been carried out on concentrating solar thermal and thermochemical applications. These studies can be further enhanced by means of high-flux solar simulators (HFSS), since they allow the development of experimental tests under controlled irradiance conditions, regardless of sunshine. In this work, a new high-flux solar simulator, capable of reaching levels of irradiance higher than 100 W/cm2 (1000 suns), has been designed, built and characterized. This simulator is composed of 8 ellipsoidal specular reflectors, arranged face-down on a horizontal plane, in order to irradiate from the upper side any system requiring the simulation of concentrated solar radiation; differently from the HFSSs described in the scientific literature, this configuration allows the avoidance of any distortion of fluid-dynamic or convective phenomena within the system under investigation. As a first step, a numerical analysis of the HFSS has been carried out, simulating each real light source (Xe-arc), having a length of 6.5 mm, as a line of 5 sub-sources. Therefore, the HFSS has been built and characterized, measuring a maximum irradiance of 120 W/cm2 and a maximum temperature of 1007 °C; these values will be enough to develop experimental tests on lab-scale thermal and thermochemical solar applications. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Schematic model of double-loop fluidized bed solar reactor, for thermochemical fuel production.</p>
Full article ">Figure 2
<p>Top view and front view of the HFSS (dimensions in mm).</p>
Full article ">Figure 3
<p>HFSS CAD model: external and internal view.</p>
Full article ">Figure 4
<p>Main geometrical data of Optiforms elliptical reflectors mod. E1585-0100 (dimensions in mm).</p>
Full article ">Figure 5
<p>Rhodium coating reflectance as a function of incident light wavelength.</p>
Full article ">Figure 6
<p>Characteristics of OSRAM XBO 4000 W/HSA OFR Xenon short arc lamp: (<b>a</b>) photometric solid; (<b>b</b>) comparison between spectral distribution of the radiative emissive power (<math display="inline"><semantics> <mrow> <msub> <mover accent="true"> <mi>Q</mi> <mo>˙</mo> </mover> <mi>λ</mi> </msub> </mrow> </semantics></math>) [<a href="#B7-energies-14-03124" class="html-bibr">7</a>] and solar spectrum.</p>
Full article ">Figure 7
<p>Example of Opticad simulation of a lamp.</p>
Full article ">Figure 8
<p>Radiative flux map in W/cm<sup>2</sup> calculated at the focal plane, related to the lamp n. 7; the coordinates are expressed in cm from the center of the workbench.</p>
Full article ">Figure 9
<p>Radiative flux map in W/cm<sup>2</sup> calculated at the focal plane, related to all lamps; the coordinates are expressed in cm from the center of the workbench.</p>
Full article ">Figure 10
<p>Pictures of the HFSS: (<b>a</b>) overall view; (<b>b</b>) inside view; (<b>c</b>) detail of the lamps; (<b>d</b>) detail of the chilled mobile optical bench.</p>
Full article ">Figure 11
<p>Pictures of the HFSS: (<b>a</b>) laser mounted in the center of the table; (<b>b</b>) alignment of a lamp with laser beam (red spotlight) in the focus.</p>
Full article ">Figure 12
<p>Pictures of the Gardon sensor mounted on the slide.</p>
Full article ">Figure 13
<p>Irradiance [W/cm<sup>2</sup>] of the case 13 of <a href="#energies-14-03124-t003" class="html-table">Table 3</a>; the numbers #1 ÷ #8 represent the lamps, according to <a href="#energies-14-03124-f002" class="html-fig">Figure 2</a>; the coordinates are expressed in cm from the center of the workbench.</p>
Full article ">Figure 14
<p>Irradiance along the horizontal central line (0 cm) highlighted in (<b>a</b>), for several heights of the workbench; all graphs are related to the lamp #7; (<b>b</b>) electrical power of lamp 5–10%; (<b>c</b>) electrical power of lamp 20%; (<b>d</b>) electrical power of lamp 40%; (<b>e</b>) electrical power of lamp 60%; (<b>f</b>) electrical power of lamp 80–100%.</p>
Full article ">Figure 15
<p>Irradiance along the horizontal line (+5 cm) highlighted in (<b>a</b>), for several heights of the workbench; all graphs are related to the lamp #7; (<b>b</b>) electrical power of lamp 5–10%; (<b>c</b>) electrical power of lamp 20%; (<b>d</b>) electrical power of lamp 40%; (<b>e</b>) electrical power of lamp 60%; (<b>f</b>) electrical power of lamp 80–100%.</p>
Full article ">Figure 16
<p>Irradiance along the horizontal line (+10 cm) highlighted in (<b>a</b>), for several heights of the workbench; all graphs are related to the lamp #7; (<b>b</b>) electrical power of lamp 5–10%; (<b>c</b>) electrical power of lamp 20%; (<b>d</b>) electrical power of lamp 40%; (<b>e</b>) electrical power of lamp 60%; (<b>f</b>) electrical power of lamp 80–100%.</p>
Full article ">Figure 17
<p>Irradiance [W/cm<sup>2</sup>] reached with all lamps switched on; (<b>a</b>) 40% of power (1600 W); (<b>b</b>) 80% of power (3600 W); the coordinates are expressed in cm from the center of the workbench; the colormap scale is referred to both graphs.</p>
Full article ">Figure 18
<p>Temperature reached in the point of maximum irradiance with all lamps switched on as a function of power.</p>
Full article ">
18 pages, 17043 KiB  
Article
Evaluation Method of Production Pressure Differential in Deep Carbonate Reservoirs: A Case Study in Tarim Basin, Northwest China
by Haoyang Weng, Jingen Deng, Chunfang Zhang, Qiang Tan, Zhuo Chen and Wei Liu
Energies 2021, 14(9), 2721; https://doi.org/10.3390/en14092721 - 10 May 2021
Cited by 1 | Viewed by 1908
Abstract
Deep and even ultra-deep petroleum resources play a gradually increasing and important role with the worldwide continuous advancement of oil and gas exploration and development. In China, the deep carbonate reservoirs in the Tarim Basin are regarded as the key development areas due [...] Read more.
Deep and even ultra-deep petroleum resources play a gradually increasing and important role with the worldwide continuous advancement of oil and gas exploration and development. In China, the deep carbonate reservoirs in the Tarim Basin are regarded as the key development areas due to their huge reserves. However, due to the unreasonable design of production pressure differential, some production wells suffered from severe borehole collapse and tubing blockage. Therefore, the main purpose of this paper is to optimize a more practical method for predicting the critical production pressure differential. The commonly used analytical methods with different failure criteria for predicting production pressure differential were summarized. Furthermore, their advantages and disadvantages were analyzed. A new numerical model is established based on the finite element theory in order to make the prediction of production pressure differential more accurate. Additionally, both analytical and numerical methods were applied to evaluating the production pressure differential of deep carbonate reservoirs in the Tarim Basin, and the results were discussed compared with field data. In addition, a series of laboratory tests, including porosity and permeability measurements, electron microscope scanning, XRD for mineral analysis, uniaxial and triaxial compressive strength test, etc., were carried out by using the collected carbonate cores from formations deeper than 7000 m to obtain the input parameters of the simulation such as the rock properties. The experimental results showed that the carbonate rocks exhibited a remarkable brittleness and post-peak strain softening. The calculation results revealed that the Mogi-Coulomb criterion is slightly conservative; however, it is more suitable than other criteria to evaluate pressure differential. Furthermore, it has been confirmed by the field data that the finite element numerical method can not only reveal the instability mechanism of the wellbore but also predict the critical production pressure differential accurately. Unfortunately, the on-site operators sometimes require a more convenient way, such as an analytical method, to figure out the pressure differential, even though the evaluation of the numerical method is more accurate. Therefore, the discussion in this paper can provide a basis for the operators to determine the production pressure differential flexibly. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Sectional view of blocked tubing.</p>
Full article ">Figure 2
<p>The mixture of mud and clogging cuttings (<b>left</b>), the block falling (<b>right</b>).</p>
Full article ">Figure 3
<p>Stress−strain curves of carbonate strength test (the confining pressure: (<b>a</b>) 0 MPa; (<b>b</b>) 0 MPa; (<b>c</b>) 15 MPa; (<b>d</b>) 40 MPa).</p>
Full article ">Figure 4
<p>Comparison of carbonate UCS.</p>
Full article ">Figure 5
<p>Observation of carbonate block.</p>
Full article ">Figure 6
<p>Scanning electron microscope of carbonate sample ((<b>a</b>) Illite–smectite mixed layers, (<b>b</b>–<b>d</b>) Micron-scale cracks).</p>
Full article ">Figure 7
<p>Compressive strength of carbonate cores before and after soaking acid.</p>
Full article ">Figure 8
<p>Compressive strength of carbonate cores before and after displacing brine.</p>
Full article ">Figure 9
<p>Typical stress–strain relationship curve ((<b>a</b>) elasticity; (<b>b</b>) ideal elastoplasticity; (<b>c</b>) strain softening).</p>
Full article ">Figure 10
<p>Schematic diagram of 1/4 wellbore-formation model.</p>
Full article ">Figure 11
<p>Two-dimensional finite element model and meshing.</p>
Full article ">Figure 12
<p>Schematic diagram of the boundary conditions.</p>
Full article ">Figure 13
<p>Comparison of production pressure differential evaluated by analytical methods.</p>
Full article ">Figure 14
<p>Near-wellbore plastic zone of horizontal wells (drilled in the direction of minimum horizontal in-situ stress) under different production pressure differentials.</p>
Full article ">Figure 15
<p>Near-wellbore plastic zone of vertical wells under different production pressure differentials.</p>
Full article ">Figure 16
<p>Simulation of the expansion pattern and connectivity trend of the near-wellbore plastic zone.</p>
Full article ">
22 pages, 4124 KiB  
Article
Classification Performance of Thresholding Methods in the Mahalanobis–Taguchi System
by Faizir Ramlie, Wan Zuki Azman Wan Muhamad, Nolia Harudin, Mohd Yazid Abu, Haryanti Yahaya, Khairur Rijal Jamaludin and Hayati Habibah Abdul Talib
Appl. Sci. 2021, 11(9), 3906; https://doi.org/10.3390/app11093906 - 26 Apr 2021
Cited by 11 | Viewed by 2823
Abstract
The Mahalanobis–Taguchi System (MTS) is a pattern recognition tool employing Mahalanobis Distance (MD) and Taguchi Robust Engineering philosophy to explore and exploit data in multidimensional systems. The MD metric provides a measurement scale to classify classes of samples (Abnormal vs. Normal) and gives [...] Read more.
The Mahalanobis–Taguchi System (MTS) is a pattern recognition tool employing Mahalanobis Distance (MD) and Taguchi Robust Engineering philosophy to explore and exploit data in multidimensional systems. The MD metric provides a measurement scale to classify classes of samples (Abnormal vs. Normal) and gives an approach to measuring the level of severity between classes. An accurate classification result depends on a threshold value or a cut-off MD value that can effectively separate the two classes. Obtaining a reliable threshold value is very crucial. An inaccurate threshold value could lead to misclassification and eventually resulting in a misjudgment decision which in some cases caused fatal consequences. Thus, this paper compares the performance of the four most common thresholding methods reported in the literature in minimizing the misclassification problem of the MTS namely the Type I–Type II error method, the Probabilistic thresholding method, Receiver Operating Characteristics (ROC) curve method and the Box–Cox transformation method. The motivation of this work is to find the most appropriate thresholding method to be utilized in MTS methodology among the four common methods. The traditional way to obtain a threshold value in MTS is using Taguchi’s Quadratic Loss Function in which the threshold is obtained by minimizing the costs associated with misclassification decision. However, obtaining cost-related data is not easy since monetary related information is considered confidential in many cases. In this study, a total of 20 different datasets were used to evaluate the classification performances of the four different thresholding methods based on classification accuracy. The result indicates that none of the four thresholding methods outperformed one over the others in (if it is not for all) most of the datasets. Nevertheless, the study recommends the use of the Type I–Type II error method due to its less computational complexity as compared to the other three thresholding methods. Full article
(This article belongs to the Topic Interdisciplinary Studies for Sustainable Mining)
Show Figures

Figure 1

Figure 1
<p>Example illustration of Mahalanobis Distance with two features.</p>
Full article ">Figure 2
<p>Fundamental four stages in Mahalanobis–Taguchi System (MTS) methodology.</p>
Full article ">Figure 3
<p>Illustration on <span class="html-italic">ω</span> determination when normal and abnormal Mahalanobis Distances (MDs) are overlapped.</p>
Full article ">Figure 4
<p>Thresholding (MD<sub>T</sub>) point using Type-I and Type-II errors.</p>
Full article ">Figure 5
<p>Receiver Operating Characteristics (ROC) diagram incorporating Sensitivity and 1-Specificity.</p>
Full article ">Figure 6
<p>Example of minimizing the distance from maximum theoretical threshold value of point A to any point on the classifier’s ROC.</p>
Full article ">Figure 7
<p>Example of variation and abundance instances of character “5”.</p>
Full article ">Figure 8
<p>(<b>a</b>) SNR Plot and (<b>b</b>) SNR Gain Chart for Medical Diagnosis of Liver Disease dataset.</p>
Full article ">Figure 9
<p>(<b>a</b>) SNR Plot and (<b>b</b>) SNR Gain Chart for Wdbc dataset.</p>
Full article ">Figure 10
<p>(<b>a</b>) SNR Plot and (<b>b</b>) SNR Gain Chart for Spambase dataset.</p>
Full article ">Figure 11
<p>Frequency of successes over 20 datasets by all threshold methods.</p>
Full article ">
Back to TopTop