CN103886382A - Volcanic rock type uranium mine target optimization method based on element geochemical abnormity - Google Patents
Volcanic rock type uranium mine target optimization method based on element geochemical abnormity Download PDFInfo
- Publication number
- CN103886382A CN103886382A CN201210557196.5A CN201210557196A CN103886382A CN 103886382 A CN103886382 A CN 103886382A CN 201210557196 A CN201210557196 A CN 201210557196A CN 103886382 A CN103886382 A CN 103886382A
- Authority
- CN
- China
- Prior art keywords
- uranium
- map
- geochemical
- value
- ore
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 229910052770 Uranium Inorganic materials 0.000 title claims abstract description 94
- JFALSRSLKYAFGM-UHFFFAOYSA-N uranium(0) Chemical compound [U] JFALSRSLKYAFGM-UHFFFAOYSA-N 0.000 title claims abstract description 94
- 239000011435 rock Substances 0.000 title claims abstract description 15
- 238000000034 method Methods 0.000 title abstract description 15
- 238000005457 optimization Methods 0.000 title description 4
- 230000033558 biomineral tissue development Effects 0.000 claims abstract description 23
- 230000002159 abnormal effect Effects 0.000 claims abstract description 17
- 230000009466 transformation Effects 0.000 claims abstract description 11
- 238000012216 screening Methods 0.000 claims abstract description 5
- 230000002349 favourable effect Effects 0.000 claims description 11
- 239000002253 acid Substances 0.000 claims description 3
- 239000013049 sediment Substances 0.000 claims description 3
- 238000010187 selection method Methods 0.000 claims description 3
- PXGOKWXKJXAPGV-UHFFFAOYSA-N Fluorine Chemical compound FF PXGOKWXKJXAPGV-UHFFFAOYSA-N 0.000 claims description 2
- ZOKXTWBITQBERF-UHFFFAOYSA-N Molybdenum Chemical compound [Mo] ZOKXTWBITQBERF-UHFFFAOYSA-N 0.000 claims description 2
- BQCADISMDOOEFD-UHFFFAOYSA-N Silver Chemical compound [Ag] BQCADISMDOOEFD-UHFFFAOYSA-N 0.000 claims description 2
- 229910052790 beryllium Inorganic materials 0.000 claims description 2
- ATBAMAFKBVZNFJ-UHFFFAOYSA-N beryllium atom Chemical compound [Be] ATBAMAFKBVZNFJ-UHFFFAOYSA-N 0.000 claims description 2
- 229910052731 fluorine Inorganic materials 0.000 claims description 2
- 239000011737 fluorine Substances 0.000 claims description 2
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 claims description 2
- 229910052753 mercury Inorganic materials 0.000 claims description 2
- 229910052750 molybdenum Inorganic materials 0.000 claims description 2
- 239000011733 molybdenum Substances 0.000 claims description 2
- 229910052709 silver Inorganic materials 0.000 claims description 2
- 239000004332 silver Substances 0.000 claims description 2
- 238000002372 labelling Methods 0.000 claims 3
- 238000012098 association analyses Methods 0.000 claims 2
- 238000012097 association analysis method Methods 0.000 claims 2
- 230000009286 beneficial effect Effects 0.000 claims 2
- 241001269238 Data Species 0.000 claims 1
- 229910052729 chemical element Inorganic materials 0.000 claims 1
- 238000006243 chemical reaction Methods 0.000 claims 1
- GFRMDONOCHESDE-UHFFFAOYSA-N [Th].[U] Chemical compound [Th].[U] GFRMDONOCHESDE-UHFFFAOYSA-N 0.000 abstract description 24
- 238000011156 evaluation Methods 0.000 abstract description 7
- 238000011160 research Methods 0.000 abstract description 2
- 238000010219 correlation analysis Methods 0.000 description 5
- 230000001186 cumulative effect Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000010438 granite Substances 0.000 description 1
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N silicon dioxide Inorganic materials O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 1
- 239000000377 silicon dioxide Substances 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
本发明涉及一种基于地球化学异常的火山岩型铀矿靶区优选方法,依次包括:1)采集或收集元素地球化学数据;2)单元素地球化学异常图编制;3)矿点投影变换;4)指示元素筛选;5)编制钍铀比值地球化学等值图;6)编制铀元素、辅助指示元素和钍铀比值地球化学异常图并进行投影变换;7)对异常形态进行判断;8)判断铀成矿远景靶区级别。本发明适用于全国范围内火山岩型多个成矿带和预测区,涵盖面广、有效性高、适用性强、准确性好。本发明指示元素明确,可操作性强,规范评价方法流程,提高评价效率,保证研究结果的客观性。The present invention relates to a method for optimizing target areas of volcanic rock type uranium deposits based on geochemical anomalies, which sequentially includes: 1) collection or collection of elemental geochemical data; 2) compilation of single-element geochemical anomaly maps; 3) ore point projection transformation; 4 ) Screening of indicator elements; 5) Compilation of geochemical equivalence maps of thorium-uranium ratios; 6) Compilation of geochemical anomalies maps of uranium elements, auxiliary indicator elements, and thorium-uranium ratios and projection transformation; 7) Judgment of abnormal forms; 8) Judgment Level of uranium mineralization prospect target area. The invention is applicable to multiple ore-forming belts and prediction areas of volcanic rock type in the whole country, and has wide coverage, high effectiveness, strong applicability and good accuracy. The invention has clear indicating elements, strong operability, standardizes the evaluation method flow, improves evaluation efficiency, and ensures the objectivity of research results.
Description
技术领域technical field
本发明涉及一种基于元素地球化学异常的火山岩型铀矿靶区优选方法,特别是涉及一种适用于火山岩型资源潜力评价和铀矿远景靶区预测的火山岩型铀矿靶区优选方法。The invention relates to a volcanic rock type uranium ore target selection method based on elemental geochemical anomalies, in particular to a volcanic rock type uranium ore target area optimization method suitable for volcanic rock type resource potential evaluation and uranium prospect target area prediction.
背景技术Background technique
元素地球化学方法是铀矿地球化学找矿的重要的、有效的方法,该方法是通过区域内成矿元素和伴生元素的含量异常对铀矿成矿潜力进行评价。我国铀矿床主要分为四大类型,包括花岗岩型、火山岩型、砂岩型和碳硅泥岩型,火山岩型铀矿是我国四大类型铀矿中最主要的类型之一,在元素地球化学异常评价工作中,以往并没有明确的找矿指示元素及其筛选方法,没有明确的基于地球化学异常优选铀矿成矿靶区的方法流程,直接影响地球化学资料的利用水平及铀矿潜力评价的效果,因此亟需提供一种新型的火山岩型铀矿靶区优选方法。Elemental geochemical method is an important and effective method for geochemical prospecting of uranium ore. This method evaluates the ore-forming potential of uranium ore through the abnormal content of ore-forming elements and associated elements in the region. Uranium deposits in my country are mainly divided into four types, including granite type, volcanic rock type, sandstone type and carbon-silica mudstone type. Volcanic rock type uranium deposits are one of the most important types among the four major types of uranium deposits in my country. In the evaluation of elemental geochemical anomalies In the work, in the past, there was no clear indicator element and its screening method for ore prospecting, and there was no clear method for selecting uranium ore-forming target areas based on geochemical anomalies, which directly affected the utilization level of geochemical data and the effect of uranium ore potential evaluation , so it is urgent to provide a new method for optimizing the target area of volcanic rock type uranium ore.
发明内容Contents of the invention
本发明要解决的技术问题是提供一种有效性高、适用性强、准确性好的指示元素明确,可操作性强的基于地球化学异常的火山岩型铀矿靶区优选方法。The technical problem to be solved by the present invention is to provide a volcanic rock-type uranium ore target area optimization method based on geochemical anomalies with high effectiveness, strong applicability and good accuracy, which has clear indicator elements and strong operability.
为解决上述技术问题,本发明一种基于元素地球化学异常的火山岩型铀矿靶区优选方法,依次包括以下步骤:In order to solve the above-mentioned technical problems, the present invention provides a volcanic rock-type uranium ore target optimization method based on elemental geochemical anomalies, which includes the following steps in sequence:
1)选择1:5万~1:20万比例尺在预测区布置测网,采集水系沉积物样品,得到地球化学数据,或收集1:5万~1:20万比例尺元素地球化学数据;1) Choose a scale of 1:50,000 to 1:200,000 to deploy a survey network in the prediction area, collect water sediment samples, and obtain geochemical data, or collect elemental geochemical data at a scale of 1:50,000 to 1:200,000;
2)单元素地球化学异常图编制;2) Compilation of single-element geochemical anomaly maps;
将预测区全部地球化学分析元素编制单元素地球化学等值图;Compile a single-element geochemical equivalence map of all geochemical analysis elements in the prediction area;
3)矿点投影变换;3) Mining point projection transformation;
将预测区已知火山岩型铀矿床位置以点文件的形式采用与预测区数字地质图相同的投影参数进行投影变换,没有已知火山岩型铀矿床的预测区将火山岩型铀矿点和矿化点以点文件形式采用与预测区数字地质图相同的投影参数进行投影变换;The location of known volcanic-type uranium deposits in the prediction area is projected and transformed in the form of a point file using the same projection parameters as the digital geological map of the predicted area. In the prediction area without known volcanic-type uranium deposits, the volcanic-type uranium deposits and mineralization points Use the same projection parameters as the digital geological map of the prediction area to carry out projection transformation in the form of point files;
4)指示元素筛选;4) Screening of indicating elements;
选择主成矿元素铀作为主要指示元素,辅助指示元素通过剖面关联分析法进行筛选;The main ore-forming element uranium is selected as the main indicator element, and the auxiliary indicator elements are screened by the profile correlation analysis method;
5)编制钍铀比值地球化学等值图;5) Compile the geochemical equivalent map of thorium-uranium ratio;
6)编制铀元素、辅助指示元素和和钍铀比值地球化学异常图,并选用与3)相同的投影参数进行投影变换;6) Compile the geochemical anomaly map of uranium elements, auxiliary indicator elements, and thorium-uranium ratios, and use the same projection parameters as in 3) for projection transformation;
在铀元素地球化学等值图中,将铀元素累频在25%~70%的区域标定为铀元素异常,得到铀元素地球化学异常图;In the geochemical equivalent map of uranium elements, the area where the cumulative frequency of uranium elements is 25% to 70% is marked as uranium element anomaly, and the uranium element geochemical anomaly map is obtained;
在辅助指示元素地球化学等值图中,将辅助指示元素累频≥70%的区域标定为辅助元素异常,得到辅助元素地球化学异常图;In the geochemical equivalence map of auxiliary indicator elements, the area with cumulative frequency of auxiliary indicator elements ≥ 70% is marked as auxiliary element anomaly, and the geochemical anomaly map of auxiliary indicator elements is obtained;
在钍铀比值地球化学等值图中,将钍铀比值≤3的区域标定为钍铀比值地球化学异常,得到钍铀比值地球化学异常图;In the thorium-uranium ratio geochemical isovalue map, the region with a thorium-uranium ratio ≤ 3 is calibrated as a thorium-uranium ratio geochemical anomaly, and a thorium-uranium ratio geochemical anomaly map is obtained;
7)对异常形态进行判断:7) Judging the abnormal form:
在上述投影后的铀元素、辅助指示元素和钍铀比值地球化学异常图中,对照数字地质图,保留符合以下特征的异常,得到处理后的铀元素、辅助指示元素、钍铀比值地球化学异常图;In the geochemical anomaly map of uranium elements, auxiliary indicator elements, and thorium-uranium ratio after the above projection, compare the digital geological map, keep the anomalies that meet the following characteristics, and obtain the geochemical anomalies of uranium elements, auxiliary indicator elements, and thorium-uranium ratio after processing picture;
①异常形态呈面状或串珠状;① The abnormal shape is face-like or bead-like;
②异常分布位置与中酸性火山岩成矿有利层位分布区域一致;②The location of abnormal distribution is consistent with the distribution area of favorable intervals of intermediate-acid volcanic rock mineralization;
8)对照地质预测的数字地质图,在处理后的铀元素、辅助指示元素和钍铀比值地球化学异常图中,将铀元素异常与钍铀比值地球化学异常及一种以上辅助指示元素异常叠加重合且与地质预测的二种以上有利成矿要素重合的区域判断为一级铀成矿远景靶区;8) In contrast to the digital geological map of geological prediction, in the processed uranium element, auxiliary indicator element and thorium-uranium ratio geochemical anomaly map, the uranium element anomaly is superimposed on the thorium-uranium ratio geochemical anomaly and more than one auxiliary indicator element anomaly The area that overlaps and overlaps with two or more favorable metallogenic elements predicted by geology is judged as the first-level uranium mineralization prospect target area;
将一级铀成矿远景靶区之外的铀异常和一级铀成矿远景靶区之外的钍铀比值地球化学异常叠加重合且与地质预测的一种有利成矿要素重合的区域判断为二级铀成矿远景靶区;The area where the uranium anomaly outside the first-level uranium metallogenic prospect target area and the thorium-uranium ratio geochemical anomaly outside the first-level uranium metallogenic prospect target area overlaps and overlaps with a favorable mineralization element predicted by geology is judged as Secondary uranium mineralization prospect target area;
将一、二级铀成矿远景靶区以外的铀元素异常判断为三级铀成矿远景靶区。The uranium element anomalies outside the primary and secondary uranium mineralization prospect areas are judged as the tertiary uranium mineralization prospect target areas.
剖面关联分析法为:The profile correlation analysis method is:
当存在已知火山岩型铀矿床,将已知火山岩型铀矿床点位叠加到所编制的单元素地球化学等值图上,在已知火山岩型铀矿床通过的位置拉线性剖面,剖面长度为1千米~10千米,按50-90%相关度进行关联分析,取相关度最大的三个元素作为辅助指示元素;When there are known volcanic-type uranium deposits, the known volcanic-type uranium deposits are superimposed on the compiled single-element geochemical equivalence map, and a linear section is drawn at the position where the known volcanic-type uranium deposits pass, and the length of the section is 1 Kilometers to 10 kilometers, conduct correlation analysis according to 50-90% correlation, and take the three elements with the highest correlation as auxiliary indicator elements;
当不存在已知火山岩型铀矿床,将已知火山岩型铀矿点和矿化点点位叠加到所编制的单元素地球化学等值图上,在已知矿点和矿化点通过的位置拉线性剖面,剖面长度为1千米~10千米,按50-90%相关度进行关联分析,取相关度最大的三个元素作为辅助指示元素;When there is no known volcanic-type uranium deposit, superimpose the known volcanic-type uranium deposits and mineralization points on the compiled single-element geochemical equivalence map, and draw Linear profile, the length of the profile is 1 km to 10 km, the correlation analysis is carried out according to the correlation degree of 50-90%, and the three elements with the highest correlation degree are taken as the auxiliary indicator elements;
当不存在已知火山岩型铀矿床、矿点和矿化点,选择钼、银、氟、铍、汞中三个元素作为辅助指示元素。When there are no known volcanic rock-type uranium deposits, ore points, and mineralization points, three elements of molybdenum, silver, fluorine, beryllium, and mercury are selected as auxiliary indicator elements.
本发明适用于全国范围内火山岩型多个成矿带和预测区,涵盖面广、有效性高、适用性强、准确性好。The invention is applicable to multiple ore-forming belts and prediction areas of volcanic rock type in the whole country, and has wide coverage, high effectiveness, strong applicability and good accuracy.
本发明指示元素明确,可操作性强,规范评价方法流程,提高评价效率,保证研究结果的客观性。The invention has clear indicating elements, strong operability, standardizes the evaluation method flow, improves evaluation efficiency, and ensures the objectivity of research results.
具体实施方式Detailed ways
本发明依次包括以下步骤:The present invention comprises the following steps in turn:
1)选择1:5万~1:20万比例尺在预测区布置测网,采集水系沉积物样品,得到地球化学数据,或收集1:5万~1:20万比例尺元素地球化学数据;1) Choose a scale of 1:50,000 to 1:200,000 to deploy a survey network in the prediction area, collect water sediment samples, and obtain geochemical data, or collect elemental geochemical data at a scale of 1:50,000 to 1:200,000;
2)单元素地球化学异常图编制;2) Compilation of single-element geochemical anomaly maps;
将预测区全部地球化学分析元素编制单元素地球化学等值图;Compile a single-element geochemical equivalence map of all geochemical analysis elements in the prediction area;
3)矿点投影变换;3) Mining point projection transformation;
将预测区已知火山岩型铀矿床位置以点文件的形式采用与预测区数字地质图相同的投影参数进行投影变换,没有已知火山岩型铀矿床的预测区将火山岩型铀矿点和矿化点以点文件形式采用与预测区数字地质图相同的投影参数进行投影变换;The location of known volcanic-type uranium deposits in the prediction area is projected and transformed in the form of a point file using the same projection parameters as the digital geological map of the predicted area. In the prediction area without known volcanic-type uranium deposits, the volcanic-type uranium deposits and mineralization points Use the same projection parameters as the digital geological map of the prediction area to carry out projection transformation in the form of point files;
4)指示元素筛选;4) Screening of indicating elements;
选择主成矿元素铀作为主要指示元素,辅助指示元素通过剖面关联分析法进行筛选;The main ore-forming element uranium is selected as the main indicator element, and the auxiliary indicator elements are screened by the profile correlation analysis method;
5)编制钍铀比值地球化学等值图;5) Compile the geochemical equivalent map of thorium-uranium ratio;
6)编制铀元素、辅助指示元素和和钍铀比值地球化学异常图,并选用与3)相同的投影参数进行投影变换;6) Compile the geochemical anomaly map of uranium elements, auxiliary indicator elements, and thorium-uranium ratios, and use the same projection parameters as in 3) for projection transformation;
在铀元素地球化学等值图中,将铀元素累频在25%~70%的区域标定为铀元素异常,得到铀元素地球化学异常图;In the geochemical equivalent map of uranium elements, the area where the cumulative frequency of uranium elements is 25% to 70% is marked as uranium element anomaly, and the uranium element geochemical anomaly map is obtained;
在辅助指示元素地球化学等值图中,将辅助指示元素累频≥70%的区域标定为辅助元素异常,得到辅助元素地球化学异常图;In the geochemical equivalence map of auxiliary indicator elements, the area with cumulative frequency of auxiliary indicator elements ≥ 70% is marked as auxiliary element anomaly, and the geochemical anomaly map of auxiliary indicator elements is obtained;
在钍铀比值地球化学等值图中,将钍铀比值≤3的区域标定为钍铀比值地球化学异常,得到钍铀比值地球化学异常图;In the thorium-uranium ratio geochemical isovalue map, the region with a thorium-uranium ratio ≤ 3 is calibrated as a thorium-uranium ratio geochemical anomaly, and a thorium-uranium ratio geochemical anomaly map is obtained;
7)对异常形态进行判断:7) Judging the abnormal form:
在上述投影后的铀元素、辅助指示元素和钍铀比值地球化学异常图中,对照数字地质图,保留符合以下特征的异常,得到处理后的铀元素、辅助指示元素、钍铀比值地球化学异常图;In the geochemical anomaly map of uranium elements, auxiliary indicator elements, and thorium-uranium ratio after the above projection, compare the digital geological map, keep the anomalies that meet the following characteristics, and obtain the geochemical anomalies of uranium elements, auxiliary indicator elements, and thorium-uranium ratio after processing picture;
①异常形态呈面状或串珠状;① The abnormal shape is face-like or bead-like;
②异常分布位置与中酸性火山岩成矿有利层位分布区域一致;②The location of abnormal distribution is consistent with the distribution area of favorable intervals of intermediate-acid volcanic rock mineralization;
8)对照地质预测的数字地质图,在处理后的铀元素、辅助指示元素和钍铀比值地球化学异常图中,将铀元素异常与钍铀比值地球化学异常及一种以上辅助指示元素异常叠加重合且与地质预测的二种以上有利成矿要素重合的区域判断为一级铀成矿远景靶区;8) In contrast to the digital geological map of geological prediction, in the processed uranium element, auxiliary indicator element and thorium-uranium ratio geochemical anomaly map, the uranium element anomaly is superimposed on the thorium-uranium ratio geochemical anomaly and more than one auxiliary indicator element anomaly The area that overlaps and overlaps with two or more favorable metallogenic elements predicted by geology is judged as the first-level uranium mineralization prospect target area;
将一级铀成矿远景靶区之外的铀异常和一级铀成矿远景靶区之外的钍铀比值地球化学异常叠加重合且与地质预测的一种有利成矿要素重合的区域判断为二级铀成矿远景靶区;The area where the uranium anomaly outside the first-level uranium metallogenic prospect target area and the thorium-uranium ratio geochemical anomaly outside the first-level uranium metallogenic prospect target area overlaps and overlaps with a favorable mineralization element predicted by geology is judged as Secondary uranium mineralization prospect target area;
将一、二级铀成矿远景靶区以外的铀元素异常判断为三级铀成矿远景靶区。The uranium element anomalies outside the primary and secondary uranium mineralization prospect areas are judged as the tertiary uranium mineralization prospect target areas.
上述地质预测的有利成矿要素为容矿构造、蚀变类型、容矿岩性。The favorable ore-forming elements for the above geological prediction are ore-hosting structure, alteration type, and ore-hosting lithology.
1:5万~1:20万比例尺以上所述一、二、三级远景区是按成矿可能性大小和勘查工作次序划分的,一级远景靶区是最有利的铀成矿远景区,二级远景靶区是有利的铀成矿远景区,三级远景靶区是较有利的铀成矿远景区,后续按一、二、三级远景区级别依次开展进一步勘查工作。The scale of 1:50,000 to 1:200,000 above-mentioned first, second, and third-level prospect areas are divided according to the possibility of mineralization and the sequence of exploration work. The first-level prospect area is the most favorable uranium mineralization prospect area. The second-level prospect area is a favorable uranium ore-forming prospect area, and the third-level prospect target area is a more favorable uranium ore-forming prospect area. Further exploration work will be carried out in sequence according to the first, second, and third-level prospect areas.
本发明适用于赣杭火山岩型铀成矿带及全国范围内其它火山岩型多个成矿带和预测区。The invention is applicable to the Ganhang volcanic rock type uranium metallogenic belt and other volcanic rock type multiple metallogenic belts and prediction areas in the whole country.
Claims (2)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210557196.5A CN103886382A (en) | 2012-12-20 | 2012-12-20 | Volcanic rock type uranium mine target optimization method based on element geochemical abnormity |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210557196.5A CN103886382A (en) | 2012-12-20 | 2012-12-20 | Volcanic rock type uranium mine target optimization method based on element geochemical abnormity |
Publications (1)
Publication Number | Publication Date |
---|---|
CN103886382A true CN103886382A (en) | 2014-06-25 |
Family
ID=50955264
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201210557196.5A Pending CN103886382A (en) | 2012-12-20 | 2012-12-20 | Volcanic rock type uranium mine target optimization method based on element geochemical abnormity |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103886382A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105549113A (en) * | 2014-10-31 | 2016-05-04 | 核工业北京地质研究院 | Site Selection Method for Scientific Deep Drilling in Volcanic Rock Type Uranium Ore Field |
CN105785466A (en) * | 2015-12-29 | 2016-07-20 | 核工业二六大队 | Leakage mineralization uranium ore finding method |
CN106126780A (en) * | 2016-06-15 | 2016-11-16 | 中国地质大学(北京) | A kind of method for optimizing of low temperature and hot liquid gold mine target area based on wavelet decomposition |
CN107807221A (en) * | 2017-09-22 | 2018-03-16 | 中国石油天然气集团公司 | A kind of abnormity point selective examination inspection method of geochemical reconnaisance laboratory sample analysis |
CN113420254A (en) * | 2021-06-07 | 2021-09-21 | 核工业北京地质研究院 | Uranium ore target area rating method based on multi-factor index contribution rate |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE10238957A1 (en) * | 2002-08-24 | 2004-03-11 | Forschungszentrum Rossendorf Ev | Reduction of hexavalent uranium concentration in running water, for purifying water e.g. from flooded uranium mine, waste-heap leachate or ground water, comprises use of mixture of chicken manure and feldspar in geochemical barrier |
CN102478674A (en) * | 2010-11-25 | 2012-05-30 | 核工业北京地质研究院 | A Method for Tracing and Exploring Hydrothermal Uranium Deposits with Combination of Geochemical Elements |
-
2012
- 2012-12-20 CN CN201210557196.5A patent/CN103886382A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE10238957A1 (en) * | 2002-08-24 | 2004-03-11 | Forschungszentrum Rossendorf Ev | Reduction of hexavalent uranium concentration in running water, for purifying water e.g. from flooded uranium mine, waste-heap leachate or ground water, comprises use of mixture of chicken manure and feldspar in geochemical barrier |
CN102478674A (en) * | 2010-11-25 | 2012-05-30 | 核工业北京地质研究院 | A Method for Tracing and Exploring Hydrothermal Uranium Deposits with Combination of Geochemical Elements |
Non-Patent Citations (2)
Title |
---|
付锦等: "全国铀矿资源潜力评价化探数据应用研究", 《铀矿地质》 * |
祝宏勋等: "多重关联分析法在降扎地区铀成矿预测评价中的应用", 《铀矿地质》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105549113A (en) * | 2014-10-31 | 2016-05-04 | 核工业北京地质研究院 | Site Selection Method for Scientific Deep Drilling in Volcanic Rock Type Uranium Ore Field |
CN105785466A (en) * | 2015-12-29 | 2016-07-20 | 核工业二六大队 | Leakage mineralization uranium ore finding method |
CN105785466B (en) * | 2015-12-29 | 2018-02-13 | 核工业二一六大队 | A kind of Prospecting For Uranium method for more flowing into ore deposit |
CN106126780A (en) * | 2016-06-15 | 2016-11-16 | 中国地质大学(北京) | A kind of method for optimizing of low temperature and hot liquid gold mine target area based on wavelet decomposition |
CN107807221A (en) * | 2017-09-22 | 2018-03-16 | 中国石油天然气集团公司 | A kind of abnormity point selective examination inspection method of geochemical reconnaisance laboratory sample analysis |
CN113420254A (en) * | 2021-06-07 | 2021-09-21 | 核工业北京地质研究院 | Uranium ore target area rating method based on multi-factor index contribution rate |
CN113420254B (en) * | 2021-06-07 | 2022-12-20 | 核工业北京地质研究院 | Uranium ore target area rating method based on multi-factor index contribution rate |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103886381B (en) | Sandstone-type uranium mine target region optimal selection method based on element geochemical anomaly | |
Pan et al. | A comprehensive analysis of heavy metals in urban road dust of Xi'an, China: contamination, source apportionment and spatial distribution | |
CN103886383A (en) | Granite type uranium mine target optimization method based on element geochemical abnormity | |
Le Vaillant et al. | Use and calibration of portable X-Ray fluorescence analysers: application to lithogeochemical exploration for komatiite-hosted nickel sulphide deposits | |
Pandey et al. | A framework for measuring groundwater sustainability | |
de Koning et al. | Effect of aggregation and disaggregation on embodied material use of products in input–output analysis | |
CN103824133B (en) | A kind of granite type U-ore field prospective area Comprehensive Prediction Method | |
Pan et al. | Investigating heavy metal pollution in mining brownfield and its policy implications: a case study of the Bayan Obo rare earth mine, Inner Mongolia, China | |
Wang et al. | Divisions based on groundwater chemical characteristics and discrimination of water inrush sources in the Pingdingshan coalfield | |
CN109188556B (en) | A kind of Seafloor Sulfide method of prospecting based on terrain analysis | |
CN108287373A (en) | A kind of sandstone-type uranium mineralization with respect target area selection method based on oreforming favorability | |
CN105717551A (en) | Blind ore space positioning method for volcanic rock type uranium mine | |
CN103886382A (en) | Volcanic rock type uranium mine target optimization method based on element geochemical abnormity | |
CN101706589A (en) | Geographic tuple based quantitative prediction method of ore concentration areas | |
CN103345566A (en) | Geochemical exploration anomaly recognizing and evaluating method based on contents contained in geology | |
Rademaker et al. | Multi-technique geochemical characterization of the Alca obsidian source, Peruvian Andes | |
CN112557612A (en) | Method for analyzing heavy metal pollution source and pollution boundary of underground water in metal mining area by using water system sediments | |
CN103903057B (en) | Carbonaceous siliceous-pelitic rock type U-ore target area preferred method based on geo-chemical element anomaly | |
Nazarpour et al. | Application of geographically weighted regression (GWR) and singularity analysis to identify stream sediment geochemical anomalies, case study, Takab Area, NW Iran | |
Haddadchi et al. | Grid‐based sediment tracing approach to determine sediment sources | |
Parbhakar-Fox et al. | Cost-effective means for identifying acid rock drainage risks—integration of the geochemistry-mineralogy-texture approach and geometallurgical techniques | |
CN114384605A (en) | A method for predicting pegmatite-type uranium and thorium resources associated with alkaline magma | |
Ershova et al. | Integrated provenance analysis of Carboniferous deposits from Northeastern Siberia: Implication for the late Paleozoic history of the Arctic | |
Sun et al. | Application of local singularity model to delineate geochemical anomalies in Xiong'ershan gold and molybdenum ore district, Western Henan province, China | |
Shamseddin Meigooni et al. | Application of multivariate geostatistical simulation and fractal analysis for detection of rare-earth element geochemical anomalies in the Esfordi phosphate mine, Central Iran |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20140625 |
|
WD01 | Invention patent application deemed withdrawn after publication |