CN112881328A - Altered rock strength prediction method based on short-wave infrared spectroscopy technology - Google Patents
Altered rock strength prediction method based on short-wave infrared spectroscopy technology Download PDFInfo
- Publication number
- CN112881328A CN112881328A CN202110215980.7A CN202110215980A CN112881328A CN 112881328 A CN112881328 A CN 112881328A CN 202110215980 A CN202110215980 A CN 202110215980A CN 112881328 A CN112881328 A CN 112881328A
- Authority
- CN
- China
- Prior art keywords
- wave infrared
- short wave
- altered rock
- altered
- rock
- 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.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
Landscapes
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a method for predicting altered rock strength based on a short wave infrared spectrum technology, which comprises the following steps: s1, establishing a short wave infrared spectrum curve characteristic-uniaxial compressive strength data relation model of the altered rock; s2, taking the altered rock sample to be tested, carrying out short wave infrared spectrum test to obtain a short wave infrared spectrogram of the altered rock sample to be tested, analyzing curve characteristics of the short wave infrared spectrogram, and obtaining the predicted strength of the altered rock sample to be tested according to a short wave infrared spectrogram curve characteristic-uniaxial compressive strength data relation model of the altered rock. According to the method, firstly, a short wave infrared spectral curve characteristic-uniaxial compressive strength data relation model of the altered rock is established, then, the strength of the altered rock sample to be detected can be rapidly, accurately and conveniently predicted in a grading manner according to the model, the detection cost can be greatly saved, the construction period can be saved, and the method has great practical significance for large-scale engineering construction in the altered rock area.
Description
Technical Field
The invention belongs to the field of geological resource and geological engineering research, particularly relates to the field of water conservancy and hydropower engineering, and particularly relates to a method for predicting altered rock strength based on a short-wave infrared spectrum technology.
Background
The alteration causes changes in the chemical composition, mineral composition, and structural organization of the rock, and the resulting rock is called altered rock. The altered rock is commonly used in various rock mass projects such as water conservancy and hydropower projects (such as large hilly dam areas, Guangzhou pumped storage power stations, Langya mountain pumped storage power stations, bluestone hydraulic power stations, Tianchi pumped storage power stations, bay hydraulic power stations and Zhejiang strong-safety pumped storage power stations), traffic projects (such as Luozhan railways, Diannan railways, Lantern village tunnels and clear water tunnels) and the like.
The alteration changes the mineral composition of the rock mass, reduces the quality of the rock mass, deteriorates the physical and mechanical properties of the rock mass, finally weakens the engineering geological characteristics of the rock mass, and causes adverse effects on the stability and durability of the rock mass engineering. Due to the large scale alteration of most granite and tuff near the contact zone, the flashover tunnels are subjected to several large scale mud-bursting and water-bursting events during excavation. The study of Jiangxiang shows that the rock erosion is one of the main factors for controlling the stability of the large-span underground cavern. During the excavation of the clear water tunnel, underground water seepage and altered rock softening when encountering water are the main factors causing tunnel deformation in the altered rock area. The stability of underground caverns, dam foundations and reservoir slope surrounding rocks of the open-air pond pumped storage power station is directly influenced by rock mass erosion, and the durability of engineering bodies and supporting structures during engineering operation is influenced by the rock mass erosion for a long time. The intensive research indicates that the structure of the altered rock body is looser under the action of the underground water, the intensity is lower, and the altered rock body can be subjected to osmotic deformation. The rock erosion strong section has the dilatation phenomenon, and collapse easily occurs during excavation. After the altered rock mass is excavated, although primary support is carried out, the deformation of surrounding rocks is still large, and the construction safety and the stability of a tunnel structure are greatly influenced. The yanogen orchid states that the engineering properties of the altered rock will affect the stability of the dam foundation and even the safety of the dam.
The compressive strength is one of the most important mechanical indexes of the rock, the compressive strength of the altered rock obtained by the technical means of the prior method mostly depends on site in-situ tests and indoor tests, and the defects of long period, high cost and incapability of large-scale development are overcome.
Therefore, the method for predicting the altered rock strength based on the short-wave infrared spectroscopy technology is established, the altered rock strength can be rapidly and accurately predicted, engineering investigation, planning, design, construction and later-period operation and maintenance can be better served, the detection cost can be greatly saved, the construction period can be saved, and the method has great practical significance for large-scale engineering construction in the altered rock area.
Disclosure of Invention
The invention aims to provide a method for predicting the strength of altered rock based on the short-wave infrared spectrum technology, which is used for better serving actual engineering and providing basis for field decision of construction processes such as engineering survey, planning, design, construction and the like.
The purpose of the invention is realized by the following technical scheme:
a method for predicting altered rock strength based on a short wave infrared spectroscopy technology comprises the following steps:
s1, establishing a short wave infrared spectrum curve characteristic-uniaxial compressive strength data relation model of the altered rock;
s2, taking an altered rock sample to be tested, carrying out short wave infrared spectrum test to obtain a short wave infrared spectrogram of the altered rock sample to be tested, analyzing curve characteristics of the short wave infrared spectrogram, and obtaining the predicted strength of the altered rock sample to be tested according to a short wave infrared spectrogram curve characteristic-uniaxial compressive strength data relation model of the altered rock.
Preferably, the main parameter indexes of the instrument used for the short-wave infrared spectrum test are as follows: the detection range of the instrument is 1300-2500 nm.
Preferably, other parameter indexes of the instrument used for the short-wave infrared spectrum test are as follows: spectral bandwidth: is better than 7 nm; spectral scanning resolution: 2 nm; wavelength accuracy: better than +/-1 nm; wavelength repeatability: better than +/-0.2 nm; signal-to-noise ratio: the average is better than 2500:1, and the RMS value is better than 10000: 1.
Preferably, the short wave infrared spectrum testing system is a mineral spectrum analysis expert system MSA.
Preferably, the curve characteristics in step S1 include quantity characteristics and peak position characteristics of characteristic absorption peaks in the short-wave infrared spectrogram.
Preferably, the relation model of the short wave infrared spectral curve characteristic-uniaxial compressive strength data of the altered rock is shown in table 1,
TABLE 1 correlation table of short wave infrared spectrum curve characteristic-uniaxial compressive strength data of altered rock
Within the four characteristic absorption peak position intervals of 1350-1550 nm, 1880-2040 nm, 2160-2220 nm and 2306-2365 nm, the strength of the altered rock with 2 characteristic absorption peaks is I grade and is more than 150 MPa; the level II has 4 characteristic absorption peaks, and the strength is 100-150 MPa; the absorption peak with 3 characteristics is III grade, and the intensity is less than 100 MPa.
According to the method, firstly, a short wave infrared spectral curve characteristic-uniaxial compressive strength data relation model of the altered rock is established, then, the intensity of the altered rock sample to be tested can be rapidly (intensity grading/prediction can be carried out immediately), accurately (the test result shows that the accuracy rate of the method reaches 85%), conveniently (SWIR has low requirement on environment and can be carried out on a project site), graded prediction can be carried out on the intensity of the altered rock sample to be tested, engineering investigation, planning, design, construction and later-stage operation maintenance can be better served, the detection cost can be greatly saved, the construction period can be saved, and the method has great practical significance on large-scale project construction in the altered rock area.
Drawings
FIG. 1 is a diagram of SWIR spectral test analysis equipment for a sample of altered rock;
FIG. 2 is a short wave infrared spectrum curve (3 characteristic absorption peaks) of rock sample SK 24-10-1;
FIG. 3 is a short-wave infrared spectrum curve (4 characteristic absorption peaks) of YK10-22-1 of a rock sample;
FIG. 4 is a rock sample YK10-11-2 short-wave infrared spectrum curve (2 characteristic absorption peaks);
FIG. 5 is a short-wave infrared spectrum curve (3 characteristic absorption peaks) of YK10-4-1 of a rock sample;
FIG. 6 is a short wave infrared spectrum curve (4 characteristic absorption peaks) of rock sample XK 6-9-1;
FIG. 7 is a rock sample XK6-8-1 short-wave infrared spectrum curve (2 characteristic absorption peaks);
FIG. 8 is a rock sample YK7-3-1 short-wave infrared spectrum curve (3 characteristic absorption peaks);
FIG. 9 is a short wave infrared spectrum curve (3 characteristic absorption peaks) of rock sample XK 31-17-1;
FIG. 10 is a short-wave infrared spectrum curve (4 characteristic absorption peaks) of YK10-27-1 of a rock sample;
FIG. 11 is a short wave infrared spectrum curve (4 characteristic absorption peaks) of rock sample SK 31-1-15-1-2;
FIG. 12 is a short wave infrared spectrum curve (2 characteristic absorption peaks) of rock sample SK 31-1-1-1-1;
FIG. 13 is a short-wave infrared spectrum curve (2 characteristic absorption peaks) of rock sample SK 31-1-2-1.
In the attached figure, 1-computer, 2-BJKF-II type portable near infrared mineral analyzer, 3-light source test window, 4-sample, 5-standard white board, 6-fast mineral determination and analysis system MSA.
Detailed Description
The invention provides a method for predicting altered rock strength based on a short wave infrared spectrum technology, which comprises the following steps:
s1, establishing a short wave infrared spectrum curve characteristic-uniaxial compressive strength data relation model of the altered rock;
s2, taking the altered rock sample to be tested, carrying out short wave infrared spectrum test to obtain a short wave infrared spectrogram of the altered rock sample to be tested, analyzing curve characteristics of the short wave infrared spectrogram, and obtaining the predicted strength of the altered rock sample to be tested according to a short wave infrared spectrogram curve characteristic-uniaxial compressive strength data relation model of the altered rock.
The invention firstly establishes a short wave infrared spectrum curve characteristic-uniaxial compressive strength data relation model of the altered rock, and can quickly (instantly grade/predict the strength) accurately (the test result shows that the accuracy of the method reaches more than 85%) conveniently (SWIR has low requirement on the environment, can be carried out on the engineering site) carry out grading prediction on the strength of the altered rock sample to be tested according to the model and a short wave infrared spectrum test spectrogram of the altered rock sample to be tested, thereby having good engineering application value.
The relation model of short wave infrared spectrum curve characteristics-uniaxial compressive strength data of the altered rock can be obtained by analyzing the relation between the curve characteristics of the obtained short wave infrared spectrum and the corresponding uniaxial compressive strength on the basis of carrying out short wave infrared spectrum test and indoor uniaxial compressive strength test on a plurality of typical altered rock samples and establishing.
Typical altered rock samples are core samples of altered rocks drilled by a drilling machine from different places, different rock types and different altered 4 degrees in a hydropower station engineering area in south east China, the more the samples are, the better the samples are in principle, but the rock structure is required to be complete and can be formed, and an indoor uniaxial compressive strength test can be carried out.
Preferably, the short wave infrared spectrum test instrument has the main parameter indexes as follows: the detection range of the instrument is 1300-2500 nm.
Other parameter indexes of the short wave infrared spectrum testing instrument are as follows: spectral bandwidth: is better than 7 nm; spectral scanning resolution: 2 nm; wavelength accuracy: better than +/-1 nm; wavelength repeatability: better than +/-0.2 nm; signal-to-noise ratio: the average is better than 2500:1, and the RMS value is better than 10000: 1.
Preferably, the short wave infrared spectrum tester is a BJKF-II type portable near infrared mineral analyzer (Nanjing Zhongdi instruments Co., Ltd.), and the test system is a mineral spectrum analysis expert system MSA (mineral Spectral analysis) provided by the instrument itself, as shown in FIG. 1.
The short wave infrared spectrum test mainly comprises the following steps:
1) connecting a BJKF-II type portable near infrared mineral analyzer and a computer, and turning on a mineral spectrum analysis expert system (MSA) in the computer; 2) initialization (performing wavelength initialization); 3) background scanning; 4) reference scan (place reference plate on window first, then click to make reference scan); 5: sample scanning (scanning the sample point to be tested against the test window). The curve characteristic analysis of the short wave infrared spectrogram of the sample can adopt a near infrared mineral rapid determination and analysis system MSAV 7.0825.
Preferably, the curve characteristic of step S1 includes the number characteristic and the peak position characteristic of the characteristic absorption peak in the short-wave infrared spectrogram. The number and the position of the characteristic absorption peaks can represent the types of mineral components in the altered rock, and further can represent the intensity of the altered rock to a certain extent.
The curve characteristic analysis comprises the following main steps:
1) opening a near infrared mineral rapid determination and analysis system MSAV 7.0825; 2) opening a spectrum file of the altered rock sample obtained by the test, such as a sample SK24-10-1.xlc, wherein the spectrum file is a SWIR spectrum curve of the sample SK24-10-1 after being opened, and is shown in FIG. 2; 3) setting peak searching wavelength intervals, preferably 1350-1550 nm (hereinafter referred to as interval 1), 1880-2040 nm (hereinafter referred to as interval 2), 2160-2220 nm (hereinafter referred to as interval 3) and 2306-2365 nm (hereinafter referred to as interval 4); 4) when the peak searching function is clicked, the absorption peak (hereinafter referred to as "characteristic absorption peak") wavelengths in 4 wavelength intervals on the curve are obtained, the number of the characteristic absorption peaks of the SWIR spectral curve of the sample SK24-10-1 is 3, the characteristic absorption peaks are respectively located at 1414nm (interval 1), 1912nm (interval 2) and 2204nm (interval 3), and no characteristic absorption peak is located in interval 4, as shown in fig. 2.
The analytical study establishes a short-wave infrared spectral curve characteristic-uniaxial compressive strength data relation model of the altered rock as shown in table 1,
TABLE 1 correlation table of short wave infrared spectrum curve characteristic-uniaxial compressive strength data of altered rock
As can be seen from table 1, the altered rock strength can be classified into 3 grades according to the characteristic absorption peak number characteristic of the SWIR curve of the altered rock:
class I, strength higher than 150 MPa. The rock mass short-wave infrared spectrum has the following characteristics: in 4 characteristic absorption peak position intervals, 2 obvious characteristic absorption peaks exist;
class II, the strength is between 100MPa and 150 MPa. The rock mass short-wave infrared spectrum has the following characteristics: in 4 characteristic absorption peak position intervals, 4 obvious characteristic absorption peaks exist;
class III, strength less than 100 MPa. The rock mass short-wave infrared spectrum has the following characteristics: in the interval of 4 characteristic absorption peak positions, 3 obvious characteristic absorption peaks exist.
The research also finds that the characteristic absorption peak of the extremely individual sample in the interval is less than 2, and the intensity of the extremely individual sample is not obviously regular.
Method accuracy verification
60 groups of altered rock samples to be tested are taken to be subjected to short wave infrared spectrum SWIR test analysis and indoor uniaxial compression test, so that the number of characteristic absorption peaks of each sample in a peak position interval and the uniaxial compressive strength of each sample are obtained, and the accuracy and the practicability of the method are verified. The method comprises the following specific steps:
the instrument used for the test was: the BJKF-II type portable near infrared mineral analyzer (Nanjing Zhongdi Instrument Co., Ltd.) has the following main parameter indexes: the detection range of the instrument is as follows: 1300-2500 nm; spectral bandwidth: is better than 7 nm; spectral scanning resolution: 2 nm; wavelength accuracy: better than +/-1 nm; wavelength repeatability: better than +/-0.2 nm; signal-to-noise ratio: the average is better than 2500:1, and the RMS value is better than 10000: 1.
The main test steps for carrying out the short wave infrared spectrum SWIR test on the altered rock sample to be tested are as follows: 1) connecting a BJKF-II type portable near-infrared mineral analyzer and a computer, turning on a mineral spectrum analysis expert system MSA (mineral Spectral analysis) in the computer, and turning on a light source; 2) initialization (performing wavelength initialization); 3) background scanning; 4) reference scan (place reference plate on window first, then click to make reference scan); 5): and (4) scanning the sample (aligning the test point of the sample to be tested with the light source for scanning). During the test, attention is paid to: 1) before testing, cleaning a sample and drying the sample; 2) in order to avoid abnormal conditions, each sample is generally tested for 3 points, and a marking pen is used for drawing a circle, a triangle and a square in sequence to mark the tested point positions (or marks the point positions by pens with different colors); 3) in the test process, in order to ensure the quality of test data, the initialization operation and the reference scanning operation are respectively carried out on the instrument every 20 minutes.
Analyzing the short wave infrared SWIR test result, wherein the analyzing steps are as follows:
1) opening a near infrared mineral rapid determination and analysis system MSAV 7.0825; 2) opening a spectrum file of the altered rock sample obtained by the test, such as a sample SK24-10-1.xlc, wherein the spectrum file is a SWIR spectrum curve of the sample SK24-10-1 after being opened, and is shown in FIG. 2; 3) setting the peak searching wavelength interval to 1350-1550 nm (hereinafter referred to as interval 1), 1880-2040 nm (hereinafter referred to as interval 2), 2160-2220 nm (hereinafter referred to as interval 3) and 2306-2365 nm (hereinafter referred to as interval 4); 4) when the peak searching function is clicked, the absorption peak (hereinafter referred to as "characteristic absorption peak") wavelengths in 4 wavelength intervals on the curve are obtained, the number of the characteristic absorption peaks of the SWIR spectral curve of the sample SK24-10-1 is 3, the characteristic absorption peaks are respectively located at 1414nm (interval 1), 1912nm (interval 2) and 2204nm (interval 3), and no characteristic absorption peak is located in interval 4, as shown in fig. 2.
The sample strength is predicted according to a short wave infrared spectral curve characteristic-uniaxial compressive strength data relation model comparison table of the altered rock shown in the table 1.
Then, a to-be-tested altered rock sample is cut, polished and prepared, an indoor uniaxial compressive strength test is carried out to obtain the strength of the to-be-tested altered rock sample, the strength is compared with the predicted strength obtained by the SWIR test to verify the accuracy of the method, and the following typical samples are exemplified:
1. with intensity class III
FIG. 2 shows the SWIR spectrum curve of the rock sample SK24-10-1, which has 3 characteristic absorption peaks respectively at 1414nm (interval 1), 1912nm (interval 2) and 2204nm (interval 3). According to table 1, the strength of the rock sample should be classified as class III, i.e. strength below 100 MPa. The uniaxial compressive strength actually measured in the rock sample chamber is 75.7 MPa. Therefore, the result predicted by the method of the invention is consistent with the result of the indoor actual measurement test.
2. With strength class II
FIG. 3 is a SWIR spectrum curve of YK10-22-1, and it can be seen from the figure that the short wave infrared spectrum curve of the rock sample has 4 characteristic absorption peaks respectively located at 1416nm (interval 1), 1914nm (interval 2), 2220nm (interval 3) and 2354nm (interval 4). According to Table 1, the strength of the rock sample is classified as class II, and the strength is between 100MPa and 150 MPa. The uniaxial compressive strength actually measured in the rock sample chamber is 137.3 MPa. Therefore, the result predicted by the method of the invention is consistent with the result of the indoor actual measurement test.
3. With intensity class I
FIG. 4 is a SWIR spectrum curve of YK10-11-2, which shows that the SWIR spectrum curve of the rock sample has 2 characteristic absorption peaks respectively located at 1920nm (interval 2) and 2206nm (interval 3), and the intensity of the rock sample is classified as I-level according to Table 1, and is higher than 150 MPa. The actual uniaxial compressive strength in the rock sample chamber is 183.6 MPa. Therefore, the result predicted by the method of the invention is consistent with the result of the indoor actual measurement test.
4. Errors are small and negligible and can be considered as coincidence
FIG. 5 shows the SWIR spectrum curve of YK10-4-1, which has 3 characteristic absorption peaks respectively at 1416nm (interval 1), 1912nm (interval 2) and 2216nm (interval 3).
According to Table 1, the strength should be of class III, i.e. the strength is less than 100 MPa. The indoor actual uniaxial compressive strength of the rock sample is 102.1MPa, slightly higher than 100MPa, the difference is 2.1MPa, and the error is small and negligible. Therefore, the result predicted by the method of the invention can be regarded as the result of the indoor actual measurement test.
FIG. 6 shows the SWIR spectrum curve of rock sample XK6-9-1, which shows that the SWIR spectrum curve of the rock sample has 4 characteristic absorption peaks respectively located at 1412nm (interval 1), 1910nm (interval 2), 2204nm (interval 3) and 2346nm (interval 4).
According to the table 1, the strength of the rock sample is class II, namely the strength is between 100MPa and 150MPa, the uniaxial compressive strength measured in the rock sample chamber is 152.7MPa, slightly higher than 150MPa, the difference is 2.7MPa, and the error is small and negligible. Therefore, the result predicted by the method of the invention can be regarded as the result of the indoor actual measurement test.
FIG. 7 is a SWIR spectrum curve of a rock sample XK6-8-1, which shows that the SWIR spectrum curve of the rock sample has 2 characteristic absorption peaks respectively located at 1920nm (interval 2) and 2208nm (interval 3).
According to table 1, the strength of the rock sample is class I, i.e. the strength is higher than 150MPa, the uniaxial compressive strength measured in the rock sample chamber is 147.4MPa and slightly lower than 150MPa, the difference is 2.6MPa, and the error is negligible. Therefore, the result predicted by the method of the invention can be regarded as the result of the indoor actual measurement test.
FIGS. 8-13 are SWIR spectrum plots of several other representative samples.
The number of characteristic absorption peaks and indoor uniaxial compressive strength of 4 wavelength intervals (1350-1550 nm, 1880-2040 nm, 2160-2220 nm and 2306-2365 nm) in SWIR curves of 60 altered rock samples are counted, and the statistical results are shown in Table 2.
TABLE 2
As can be seen from table 2, among 60 groups of samples, 51 groups of samples (including 5 groups of samples can be considered as being matched) whose results predicted by the method of the present invention meet the results of the indoor actual measurement test result have an accuracy rate of 85.0%. The method is used for rapidly grading the strength of the altered rock, and the strength prediction has high reliability and good effect.
In the indoor uniaxial compressive strength test in the prior art, a rock sample needs to be transported back to a room from a site for sample preparation (the sample taken by a drilling machine can not be directly tested and needs to be further prepared) and test, and still a large amount of manpower, financial resources, material resources and time are consumed.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention. It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (6)
1. A method for predicting altered rock strength based on a short wave infrared spectroscopy technology is characterized by comprising the following steps:
s1, establishing a short wave infrared spectrum curve characteristic-uniaxial compressive strength data relation model of the altered rock;
s2, taking an altered rock sample to be tested, carrying out short wave infrared spectrum test to obtain a short wave infrared spectrogram of the altered rock sample to be tested, analyzing curve characteristics of the short wave infrared spectrogram, and obtaining the predicted strength of the altered rock sample to be tested according to a short wave infrared spectrogram curve characteristic-uniaxial compressive strength data relation model of the altered rock.
2. The method for predicting altered rock strength based on shortwave infrared spectroscopy of claim 1,
the main parameter indexes of the instrument used for the short wave infrared spectrum test are as follows: the detection range of the instrument is 1300-2500 nm.
3. The method for predicting altered rock strength based on shortwave infrared spectroscopy as set forth in claim 2,
other parameter indexes of the instrument used for the short wave infrared spectrum test are as follows: spectral bandwidth: is better than 7 nm; spectral scanning resolution: 2 nm; wavelength accuracy: better than +/-1 nm; wavelength repeatability: better than +/-0.2 nm; signal-to-noise ratio: the average is better than 2500:1, and the RMS value is better than 10000: 1.
4. The method for predicting altered rock strength based on shortwave infrared spectroscopy of claim 1,
the short wave infrared spectrum testing system is a mineral spectrum analysis expert system MSA.
5. The method for predicting altered rock strength based on shortwave infrared spectroscopy of claim 1,
the curve characteristics of the step S1 include quantity characteristics and peak position characteristics of characteristic absorption peaks in the short-wave infrared spectrogram.
6. The method for predicting altered rock strength based on shortwave infrared spectroscopy of claim 5,
the relation model of the short wave infrared spectral curve characteristic-uniaxial compressive strength data of the altered rock is shown in table 1,
TABLE 1 correlation table of short wave infrared spectrum curve characteristic-uniaxial compressive strength data of altered rock
In the four characteristic absorption peak position intervals of 1350-1550 nm, 1880-2040 nm, 2160-2220 nm and 2306-2365 nm, the strength of the altered rock with 2 characteristic absorption peaks is I grade and is more than 150 Mpa; the level II has 4 characteristic absorption peaks, and the strength is 100-150 MPa; the absorption peak with 3 characteristics is III grade, and the intensity is less than 100 MPa.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110215980.7A CN112881328B (en) | 2021-02-26 | 2021-02-26 | Method for predicting strength of altered rock based on short-wave infrared spectrum technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110215980.7A CN112881328B (en) | 2021-02-26 | 2021-02-26 | Method for predicting strength of altered rock based on short-wave infrared spectrum technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112881328A true CN112881328A (en) | 2021-06-01 |
| CN112881328B CN112881328B (en) | 2024-03-22 |
Family
ID=76054671
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110215980.7A Active CN112881328B (en) | 2021-02-26 | 2021-02-26 | Method for predicting strength of altered rock based on short-wave infrared spectrum technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112881328B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114813632A (en) * | 2022-06-30 | 2022-07-29 | 中国矿业大学(北京) | Spectroscopy measurement method and system for rock softening in water |
| CN115931943A (en) * | 2022-12-16 | 2023-04-07 | 中国地质科学院探矿工艺研究所 | On-spot sample, thoughtlessly appearance, detection and high accuracy division integrated device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4996421A (en) * | 1988-10-31 | 1991-02-26 | Amoco Corporation | Method an system of geophysical exploration |
| CN105784494A (en) * | 2016-04-12 | 2016-07-20 | 中国电建集团成都勘测设计研究院有限公司 | Specific composite altered rock or belt comprehensive compressive strength index obtaining method |
| CN106501206A (en) * | 2016-01-21 | 2017-03-15 | 中国石油化工股份有限公司胜利油田分公司投资发展处 | A kind of reservoir rock anisotropism characterizing method based on infrared microscopy technology |
| CN110333200A (en) * | 2019-05-30 | 2019-10-15 | 西藏华钰矿业股份有限公司 | A method of mineralizing centre is drawn a circle to approve based on short-wave infrared spectrum |
| CN110967311A (en) * | 2019-11-25 | 2020-04-07 | 中国科学院地球化学研究所 | Identification method of porphyry deposit alteration zone based on infrared spectroscopy and magnetic susceptibility measurement |
-
2021
- 2021-02-26 CN CN202110215980.7A patent/CN112881328B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4996421A (en) * | 1988-10-31 | 1991-02-26 | Amoco Corporation | Method an system of geophysical exploration |
| CN106501206A (en) * | 2016-01-21 | 2017-03-15 | 中国石油化工股份有限公司胜利油田分公司投资发展处 | A kind of reservoir rock anisotropism characterizing method based on infrared microscopy technology |
| CN105784494A (en) * | 2016-04-12 | 2016-07-20 | 中国电建集团成都勘测设计研究院有限公司 | Specific composite altered rock or belt comprehensive compressive strength index obtaining method |
| CN110333200A (en) * | 2019-05-30 | 2019-10-15 | 西藏华钰矿业股份有限公司 | A method of mineralizing centre is drawn a circle to approve based on short-wave infrared spectrum |
| CN110967311A (en) * | 2019-11-25 | 2020-04-07 | 中国科学院地球化学研究所 | Identification method of porphyry deposit alteration zone based on infrared spectroscopy and magnetic susceptibility measurement |
Non-Patent Citations (1)
| Title |
|---|
| 潘旭威: "蚀变岩发育规律及工程特性研究 ————以磐安抽水蓄能电站为例", 《中国博士学位论文全文数据库 工程科技Ⅱ辑》, pages 58 - 78 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114813632A (en) * | 2022-06-30 | 2022-07-29 | 中国矿业大学(北京) | Spectroscopy measurement method and system for rock softening in water |
| CN115931943A (en) * | 2022-12-16 | 2023-04-07 | 中国地质科学院探矿工艺研究所 | On-spot sample, thoughtlessly appearance, detection and high accuracy division integrated device |
| CN115931943B (en) * | 2022-12-16 | 2023-08-08 | 中国地质科学院探矿工艺研究所 | On-site sampling, mixing, detecting and high-precision dividing integrated device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112881328B (en) | 2024-03-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113295850A (en) | Tunnel surrounding rock quantitative rapid grading method and device based on multi-source data fusion | |
| CN112881328B (en) | Method for predicting strength of altered rock based on short-wave infrared spectrum technology | |
| CN103198363B (en) | Reservoir gas production amount prediction method and device based on CT pore analysis | |
| CN114240212B (en) | Method and equipment for determining influence weight of geological parameter on resource quantity | |
| CN108827999A (en) | The evaluation method of low porosity permeability sandstone reservoir moveable oil ratio and moveable oil stock number | |
| CN117992704B (en) | High-precision land planning and mapping method and system | |
| CN105134185A (en) | Reservoir fluid property identification method | |
| CN104100262A (en) | Method for identifying properties of reservoir fluid by three-dimensional quantitative fluorescence parameter charts | |
| CN112487620A (en) | Shale oil movable resource quantity evaluation model, evaluation method and application | |
| CN106295040A (en) | Landslide disaster monitoring and warning earth's surface inclinometer threshold determination method | |
| CN104516025A (en) | Method for classifying and evaluating carbonate reservoir physical properties while drilling | |
| CN100485412C (en) | Method for controlling field earthquake prospecting collection process | |
| CN108614088A (en) | A method of it is missed using rare earth element tracer karst soil | |
| Guo et al. | Compression characteristic and creep behavior of moraine soil at Xingkang bridge, West Sichuan, China | |
| Stringer et al. | Advanced soil sampling of silty sands in Christchurch | |
| Hou et al. | A strain rate dependent constitutive model for the Lower Silurian Longmaxi Formation shale in the fuling gas field of the Sichuan Basin, China | |
| Ye et al. | Evaluation on Weathering Degree of Limestone Artifacts Considering Water Absorption Characteristics. | |
| Gao et al. | Comprehensive Evaluation of Soil Quality: a Case Study from a Semi-Arid Area Experiencing Coal Mine Related Subsidence in China | |
| CN103499390A (en) | Sunlight irradiation monitoring and analysis method based on polymer material ageing test | |
| CN118839464A (en) | Method and device for recovering dynamic evolution process of gas reservoir pressure | |
| Wang et al. | Illuminating the dark universe with a very high density galaxy redshift survey over a wide area | |
| Wang | Mid‐Late Holocene Stalagmite δ18O and δ13C Records in Naduo Cave, Guizhou Province, China | |
| CN105888656A (en) | Method for quantitatively evaluating hydraulic permeability under pressure of natural microcrack development tight reservoir | |
| CN118626783B (en) | Karst underground river system boundary determination method | |
| CN114060086B (en) | Method for judging deformation of extrusion surrounding rock tunnel |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |