CN111738562A - Method for selecting dominant horizon of sandstone uranium ore - Google Patents
Method for selecting dominant horizon of sandstone uranium ore Download PDFInfo
- Publication number
- CN111738562A CN111738562A CN202010471789.4A CN202010471789A CN111738562A CN 111738562 A CN111738562 A CN 111738562A CN 202010471789 A CN202010471789 A CN 202010471789A CN 111738562 A CN111738562 A CN 111738562A
- Authority
- CN
- China
- Prior art keywords
- content
- dominant
- horizon
- selecting
- sandstone uranium
- 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 37
- JFALSRSLKYAFGM-UHFFFAOYSA-N uranium(0) Chemical compound [U] JFALSRSLKYAFGM-UHFFFAOYSA-N 0.000 title claims abstract description 37
- 238000000034 method Methods 0.000 title claims abstract description 26
- 239000004927 clay Substances 0.000 claims abstract description 29
- JEIPFZHSYJVQDO-UHFFFAOYSA-N iron(III) oxide Inorganic materials O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 claims abstract description 24
- VTLYFUHAOXGGBS-UHFFFAOYSA-N Fe3+ Chemical compound [Fe+3] VTLYFUHAOXGGBS-UHFFFAOYSA-N 0.000 claims abstract description 19
- 239000011435 rock Substances 0.000 claims abstract description 17
- NLYAJNPCOHFWQQ-UHFFFAOYSA-N kaolin Chemical compound O.O.O=[Al]O[Si](=O)O[Si](=O)O[Al]=O NLYAJNPCOHFWQQ-UHFFFAOYSA-N 0.000 claims abstract description 16
- 229910052622 kaolinite Inorganic materials 0.000 claims abstract description 16
- 230000003595 spectral effect Effects 0.000 claims abstract description 8
- 238000001228 spectrum Methods 0.000 claims abstract description 6
- 238000005553 drilling Methods 0.000 claims abstract description 4
- 229910052500 inorganic mineral Inorganic materials 0.000 claims abstract description 4
- 239000011707 mineral Substances 0.000 claims abstract description 4
- 239000005416 organic matter Substances 0.000 claims description 12
- 238000005259 measurement Methods 0.000 claims description 8
- 238000002310 reflectometry Methods 0.000 claims description 7
- XEEYBQQBJWHFJM-UHFFFAOYSA-N iron Substances [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 6
- 230000003247 decreasing effect Effects 0.000 claims description 3
- 238000003384 imaging method Methods 0.000 claims description 3
- 238000013139 quantization Methods 0.000 abstract description 7
- 238000012360 testing method Methods 0.000 abstract description 2
- 239000004576 sand Substances 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 3
- UQSXHKLRYXJYBZ-UHFFFAOYSA-N Iron oxide Chemical compound [Fe]=O UQSXHKLRYXJYBZ-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000008021 deposition Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 1
- 230000033558 biomineral tissue development Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 239000003041 laboratory chemical Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- General Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Life Sciences & Earth Sciences (AREA)
- Marine Sciences & Fisheries (AREA)
- Game Theory and Decision Science (AREA)
- Agronomy & Crop Science (AREA)
- Animal Husbandry (AREA)
- Quality & Reliability (AREA)
- Mining & Mineral Resources (AREA)
- Operations Research (AREA)
- Multimedia (AREA)
- Primary Health Care (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention belongs to the field of uranium mine exploration, and particularly discloses a method for selecting a dominant horizon of a sandstone uranium mine, which comprises the following steps: performing hyperspectral core scanning on a drilling core of a sandstone uranium deposit by using core hyperspectral scanning equipment; performing data inversion on the hyperspectral rock core scanning image to obtain ferric iron, organic matters, the total clay content and the kaolinite content; constructing a relation curve of mineral content changing along with depth by utilizing data such as ferric iron content obtained by inversion and combining with scanning depth; and selecting the dominant horizon of the sandstone uranium ore by using the constructed content change curve. The method does not need to collect samples, and has simple operation steps; laboratory analysis is not required to be carried out, and the working efficiency is improved; the characteristic of strong spectrum quantization capability is fully utilized, and the result quantization level is good; the spectral data is easy to obtain, the test is cheap, and the cost can be saved.
Description
Technical Field
The invention belongs to the field of uranium mine exploration, and particularly discloses a method for selecting a dominant horizon of a sandstone uranium mine.
Background
Uranium is an important dual-purpose resource for military and civilian use. Currently, exploration of uranium ores has changed from hard rock type uranium ores to sandstone type uranium ores. Different from the traditional hard rock type uranium ore, the sandstone type uranium ore has obvious stratum control effect. The beneficial horizon for mastering the mineralization of the sandstone uranium ore has positive significance for guiding the sandstone uranium ore exploration. At present, researchers judge that the favorable sand layer is mainly based on the deposition characteristics of sand, such as the factors of the deposition sequence of the formation sand, the sandstone granularity, the organic matter content of the sand, the clay content, the iron oxide composition and the like are comprehensively considered.
There are two disadvantages in performing comprehensive evaluation:
(1) the method is excessively dependent on empirical judgment, different researchers can obtain different evaluation standards due to self reasons, so that the final evaluation result is lack of uniformity, and the result can be poor in specific energy;
(2) researchers need to carry out sample collection and laboratory chemical analysis when obtaining content and composition information, which not only wastes time and labor, but also consumes a large amount of expenses.
Therefore, a mode of combining spectral quantization inversion with index comprehensive judgment is needed to be provided for selecting the dominant horizon of the sandstone uranium deposit so as to overcome the defects in the prior art.
Disclosure of Invention
The invention aims to provide a method for selecting a dominant horizon of a sandstone uranium deposit, which makes full use of the characteristics of high spectral measurement speed and strong quantization capacity, thereby improving the quantization level of results and improving the working efficiency. Meanwhile, the spectrum is easy to obtain, the measurement price is low, and the cost can be effectively saved.
The technical scheme for realizing the purpose of the invention is as follows:
a method for selecting a dominant horizon in a sandstone uranium deposit, the method comprising the steps of:
the method comprises the following steps that (1) hyperspectral rock core scanning is conducted on a drilling rock core of a sandstone uranium deposit by utilizing rock core hyperspectral scanning equipment;
performing data inversion on the hyperspectral rock core scanning image in the step (1) to obtain the content of ferric iron, the content of organic matters, the content of total clay and the content of kaolinite;
step 3, constructing a relation curve of mineral content changing along with depth by utilizing data of ferric iron content, organic matter content, total clay content, kaolinite content and the like obtained by inversion in the step 2 and combining scanning depth;
and (4) selecting the dominant horizon of the sandstone uranium ore by using the content change curve constructed in the step (3).
And (2) the core hyperspectral scanning equipment in the step (1) is semi-imaging type (true color photo + spectrum measurement) core scanning equipment.
In the step (1), the core scanning device is required to be capable of recording the position and the corresponding depth of the spectral measurement.
In the step (2), the content of ferric iron (Fe)2O3) The inversion formula of (c) is as follows:
Fe2O3＝-234.23*[R545 2-1]/2R545 2+0.4516
wherein R is545Representing a reflectivity at 545 nm.
In the step (2), an inversion formula of the organic matter content (TOC) is as follows:
TOC＝-1230.8*[R823 2-1]/2R823 2+0.1408
wherein R is823Representing the reflectance at 823 nm.
In the step (2), the inversion formula of the total Clay content (Clay) is as follows:
Clay＝34107*[R1878 2-1]/2R1878 2+7.3134
wherein R is1878Representing a reflectivity at 1878 nm.
In the step (2), an inversion formula of the kaolinite content (Kao) is as follows:
Kao＝10245*[R2145 2-1]/2R2145 2+0.5073
wherein R is2145Representing a reflectivity at 2145 nm.
In the step (3), an Excel software is used for making a graph of content-to-depth variation according to the depth recorded by the core scanner in the step (1) from the ferric iron content (Fe2O3), the organic matter content (TOC), the total Clay content (Clay) and the kaolinite content (Kao) calculated in the step (2).
In the step (4), the dominant horizon of sandstone uranium ore is selected according to the following steps:
the dominant horizon is as follows: ferric iron decrease, organic matter increase, total clay increase, kaolinite increase;
the more dominant layer position: ferric iron decreased and total clay increased.
The invention has the following beneficial effects:
(1) the invention does not need to collect samples, so the operation steps are simple;
(2) according to the invention, laboratory analysis is not required, a large amount of analysis time is saved, and the working efficiency is improved;
(3) the invention fully utilizes the characteristic of strong spectrum quantization capability, and the result quantization level is good;
(4) the spectrum of the invention can be realized by using the existing software function in the processing process without technical barriers;
(5) the invention has the advantages of easy acquisition of spectral data, cheap test and cost saving.
Detailed Description
The present invention will be described in further detail with reference to examples.
The invention provides a method for selecting a dominant horizon of a sandstone uranium ore, which comprises the following steps:
the method comprises the following steps that (1) hyperspectral rock core scanning is conducted on a drilling rock core of a sandstone uranium deposit by utilizing rock core hyperspectral scanning equipment;
and (3) acquiring hyperspectral data of the rock core and the depth corresponding to the spectral measurement position by using a semi-imaging type (true color picture + spectral measurement) rock core scanning device.
Performing data inversion on the hyperspectral rock core scanning image in the step (1) to obtain the content of ferric iron, the content of organic matters, the content of total clay and the content of kaolinite;
trivalent iron (Fe)2O3) The inversion formulas for organics (TOC), total Clay (Clay) and kaolinite content (Kao) are as follows:
Fe2O3＝-234.23*[R545 2-1]/2R545 2+0.4516
TOC＝-1230.8*[R823 2-1]/2R823 2+0.1408
Clay＝34107*[R1878 2-1]/2R1878 2+7.3134
Kao＝10245*[R2145 2-1]/2R2145 2+0.5073
wherein R is545，R823，R1878，R2145Representing the reflectivity at 545,823,1878,2145 nm.
Step 3, constructing a relation curve of the mineral content changing along with the depth by utilizing the data of the ferric iron content, the organic matter content, the total clay content, the kaolinite content and the like obtained by inversion in the step 2 and combining with the scanning depth;
using Excel software to calculate the content (Fe) of the ferric iron calculated in the step (2)2O3) And (2) making a graph of content-to-depth variation according to the depth recorded by the core scanner in the step (1) and according to the organic matter content (TOC), the total Clay content (Clay) and the kaolinite content (Kao).
And (4) selecting the dominant horizon of the sandstone uranium ore by using the content change curve constructed in the step (3).
The judgment is carried out according to the following criteria:
the dominant horizon is as follows: ferric iron decrease, organic matter increase, total clay increase, kaolinite increase;
the more dominant layer position: ferric iron decreased and total clay increased.
Researchers develop work in inner Mongolia Tongliao areas by using the technical method provided by the invention, and through the method, 1 dominant layer is identified in a plurality of drill holes, and 2 dominant layers are identified in partial drill holes, so that a good application effect is achieved.
The present invention has been described in detail with reference to the embodiments, but the present invention is not limited to the embodiments, and various changes can be made without departing from the gist of the present invention within the knowledge of those skilled in the art. The prior art can be adopted in the content which is not described in detail in the invention.
Claims (9)
1. A method for selecting a dominant horizon of a sandstone uranium ore is characterized by comprising the following steps: the method comprises the following steps:
the method comprises the following steps that (1) hyperspectral rock core scanning is conducted on a drilling rock core of a sandstone uranium deposit by utilizing rock core hyperspectral scanning equipment;
performing data inversion on the hyperspectral rock core scanning image in the step (1) to obtain the content of ferric iron, the content of organic matters, the content of total clay and the content of kaolinite;
step 3, constructing a relation curve of mineral content changing along with depth by utilizing data of ferric iron content, organic matter content, total clay content, kaolinite content and the like obtained by inversion in the step 2 and combining scanning depth;
and (4) selecting the dominant horizon of the sandstone uranium ore by using the content change curve constructed in the step (3).
2. The method of selecting a dominant horizon in a sandstone uranium deposit according to claim 1, wherein: and (2) the core hyperspectral scanning equipment in the step (1) is semi-imaging type (true color photo + spectrum measurement) core scanning equipment.
3. The method of selecting a dominant horizon for a sandstone uranium deposit according to claim 2, wherein: in the step (1), the core scanning device is required to be capable of recording the position and the corresponding depth of the spectral measurement.
4. The method of selecting a dominant horizon in a sandstone uranium deposit according to claim 3, wherein: in the step (2), the content of ferric iron (Fe)2O3) The inversion formula of (c) is as follows:
Fe2O3＝-234.23*[R545 2-1]/2R545 2+0.4516
wherein R is545Representing a reflectivity at 545 nm.
5. The method of selecting a dominant horizon for a sandstone uranium deposit according to claim 4, wherein: in the step (2), an inversion formula of the organic matter content (TOC) is as follows:
TOC＝-1230.8*[R823 2-1]/2R823 2+0.1408
wherein R is823Representing the reflectance at 823 nm.
6. The method of selecting a dominant horizon for a sandstone uranium deposit according to claim 5, wherein: in the step (2), the inversion formula of the total Clay content (Clay) is as follows:
Clay＝34107*[R1878 2-1]/2R1878 2+7.3134
wherein R is1878Representing a reflectivity at 1878 nm.
7. The method of selecting a dominant horizon for a sandstone uranium deposit according to claim 6, wherein: in the step (2), an inversion formula of the kaolinite content (Kao) is as follows:
Kao＝10245*[R2145 2-1]/2R2145 2+0.5073
wherein R is2145Representing a reflectivity at 2145 nm.
8. The method of selecting a dominant horizon for a sandstone uranium deposit according to claim 7, wherein: in the step (3), an Excel software is used for making a graph of content-to-depth variation according to the depth recorded by the core scanner in the step (1) from the ferric iron content (Fe2O3), the organic matter content (TOC), the total Clay content (Clay) and the kaolinite content (Kao) calculated in the step (2).
9. The method of selecting a dominant horizon for a sandstone uranium deposit according to claim 8, wherein: in the step (4), the dominant horizon of sandstone uranium ore is selected according to the following steps:
the dominant horizon is as follows: ferric iron decrease, organic matter increase, total clay increase, kaolinite increase;
the more dominant layer position: ferric iron decreased and total clay increased.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010471789.4A CN111738562A (en) | 2020-05-29 | 2020-05-29 | Method for selecting dominant horizon of sandstone uranium ore |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010471789.4A CN111738562A (en) | 2020-05-29 | 2020-05-29 | Method for selecting dominant horizon of sandstone uranium ore |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111738562A true CN111738562A (en) | 2020-10-02 |
Family
ID=72647902
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010471789.4A Pending CN111738562A (en) | 2020-05-29 | 2020-05-29 | Method for selecting dominant horizon of sandstone uranium ore |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111738562A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114993759A (en) * | 2022-07-18 | 2022-09-02 | 核工业北京地质研究院 | Rock powder sampling method for radioactive mineral exploration |
| CN117723579A (en) * | 2024-02-07 | 2024-03-19 | 核工业北京地质研究院 | Method for determining sandstone type uranium deposit mineralization site in exploration area through mineral combination |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4491411A (en) * | 1982-06-28 | 1985-01-01 | Mobil Oil Corporation | Exploration method for finding uranium ore bodies |
| CN101551471A (en) * | 2009-05-19 | 2009-10-07 | 中国国土资源航空物探遥感中心 | High-spectrum remote-sensing mineral content quantitative inversion method |
| CN101887012A (en) * | 2010-06-28 | 2010-11-17 | 中国国土资源航空物探遥感中心 | Spectral reflectance peak decomposition based quantitative inversion method of hyperspectral remote sensing mineral content |
| US20130273661A1 (en) * | 2012-04-13 | 2013-10-17 | Schlumberger Technology Corporation | Methods and appratus for simultaneous estimation of quantitative minerology, kerogen content and maturity in gas shale and oil-bearing shale |
| US20160139293A1 (en) * | 2014-11-19 | 2016-05-19 | Schlumberger Technology Corporation | Subsurface Estimation of Level of Organic Maturity |
| CN107192673A (en) * | 2017-05-18 | 2017-09-22 | 成都理工大学 | Integrated geological mapping method based on ASTER and underground core spectral measurement technology |
| CN107389571A (en) * | 2017-07-21 | 2017-11-24 | 中国科学院遥感与数字地球研究所 | A kind of fine discrimination method of mineral constituent high-spectrum remote-sensing |
| CN108020321A (en) * | 2016-10-31 | 2018-05-11 | 核工业北京地质研究院 | One kind is based on emissivity spectra exponential model quantitative inversion rock SiO2The method of content |
| CN108931546A (en) * | 2018-04-08 | 2018-12-04 | 中国地质科学院矿产资源研究所 | Hyperspectrum-based lithium-containing pegmatite identification method |
| CN110596783A (en) * | 2019-09-29 | 2019-12-20 | 核工业北京地质研究院 | Method for counting large-scale oil gas filling time of ore-bearing layer of sandstone-type uranium ore |
| CN111122468A (en) * | 2019-12-25 | 2020-05-08 | 吉林大学 | Method for determining content of ferric oxide in surface rock |
-
2020
- 2020-05-29 CN CN202010471789.4A patent/CN111738562A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4491411A (en) * | 1982-06-28 | 1985-01-01 | Mobil Oil Corporation | Exploration method for finding uranium ore bodies |
| CN101551471A (en) * | 2009-05-19 | 2009-10-07 | 中国国土资源航空物探遥感中心 | High-spectrum remote-sensing mineral content quantitative inversion method |
| CN101887012A (en) * | 2010-06-28 | 2010-11-17 | 中国国土资源航空物探遥感中心 | Spectral reflectance peak decomposition based quantitative inversion method of hyperspectral remote sensing mineral content |
| US20130273661A1 (en) * | 2012-04-13 | 2013-10-17 | Schlumberger Technology Corporation | Methods and appratus for simultaneous estimation of quantitative minerology, kerogen content and maturity in gas shale and oil-bearing shale |
| US20160139293A1 (en) * | 2014-11-19 | 2016-05-19 | Schlumberger Technology Corporation | Subsurface Estimation of Level of Organic Maturity |
| CN108020321A (en) * | 2016-10-31 | 2018-05-11 | 核工业北京地质研究院 | One kind is based on emissivity spectra exponential model quantitative inversion rock SiO2The method of content |
| CN107192673A (en) * | 2017-05-18 | 2017-09-22 | 成都理工大学 | Integrated geological mapping method based on ASTER and underground core spectral measurement technology |
| CN107389571A (en) * | 2017-07-21 | 2017-11-24 | 中国科学院遥感与数字地球研究所 | A kind of fine discrimination method of mineral constituent high-spectrum remote-sensing |
| CN108931546A (en) * | 2018-04-08 | 2018-12-04 | 中国地质科学院矿产资源研究所 | Hyperspectrum-based lithium-containing pegmatite identification method |
| CN110596783A (en) * | 2019-09-29 | 2019-12-20 | 核工业北京地质研究院 | Method for counting large-scale oil gas filling time of ore-bearing layer of sandstone-type uranium ore |
| CN111122468A (en) * | 2019-12-25 | 2020-05-08 | 吉林大学 | Method for determining content of ferric oxide in surface rock |
Non-Patent Citations (6)
| Title |
|---|
| 张川;叶发旺;徐清俊;武鼎;车永飞;: "钻孔岩心高光谱技术系统及其在矿产勘查中的应用", 地质科技情报, no. 06 * |
| 徐清俊等: "基于高光谱技术的钻孔岩心蚀变信息研究:以新疆白杨河铀矿床为例", 东华理工大学学报(自然科学版), vol. 39, no. 02, pages 184 - 190 * |
| 李建国等: "松辽盆地西南部上白垩统姚家组原生黏土矿物组合特征及其找铀意义", 地球学报, vol. 39, no. 09, pages 295 - 305 * |
| 王俊虎;张杰林;刘德长;: "热红外遥感技术在铀矿勘查中的应用潜力探讨", 世界核地质科学, no. 01 * |
| 苗培森等: "砂岩型铀矿蚀变矿物研究中的岩心光谱扫描技术", 地质调查与研究, vol. 40, no. 03, pages 210 - 218 * |
| 蒙亚平;杜培军;李二珠;张浩;徐志刚;: "国产岩心光谱扫描仪CMS350A数据预处理技术", 国土资源遥感, no. 04 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114993759A (en) * | 2022-07-18 | 2022-09-02 | 核工业北京地质研究院 | Rock powder sampling method for radioactive mineral exploration |
| CN114993759B (en) * | 2022-07-18 | 2022-10-25 | 核工业北京地质研究院 | Rock powder sampling method for radioactive mineral exploration |
| CN117723579A (en) * | 2024-02-07 | 2024-03-19 | 核工业北京地质研究院 | Method for determining sandstone type uranium deposit mineralization site in exploration area through mineral combination |
| CN117723579B (en) * | 2024-02-07 | 2024-05-28 | 核工业北京地质研究院 | Method for determining sandstone type uranium deposit mineralization site in exploration area through mineral combination |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111441758B (en) | Shale oil gas dessert area prediction method and device | |
| CN108222925A (en) | Shale gas reservoir classification comprehensive evaluation method | |
| CN101950359B (en) | Method for recognizing rock type | |
| CN111738562A (en) | Method for selecting dominant horizon of sandstone uranium ore | |
| Macklin | Flood-plain sedimentation in the upper Axe Valley, Mendip, England | |
| CN112508330B (en) | Method for distinguishing mine water sources under disturbance of mining in western mining area | |
| CN111045106A (en) | Method for confining sandstone-type uranium ore body output part of oxidation zone between basin floors | |
| Zhang et al. | Biogeochemical identification of the Quaternary biogenic gas source rock in the Sanhu Depression, Qaidam Basin | |
| CN107727829B (en) | Semi-quantitative estimation method for denudation degree of granite type uranium ore | |
| CN107120110A (en) | Shale gas reservoir landwaste and rock core quantificational description method | |
| Omarbekov et al. | Improving the technology of uranium mining under the conditions of high groundwater pressure | |
| CN113534284A (en) | Method for estimating development characteristics of sand oxidation zone by using water quality parameters | |
| CN110887947B (en) | Environmental index method for rock after-alteration of divided land-leaching sandstone-type uranium ores | |
| CN111323846A (en) | Multi-element ore control factor combined quantitative ore formation prediction method | |
| US11694338B2 (en) | 3D modeling method for cementing hydrate sediment based on CT image | |
| Wu et al. | Sedimentary facies of the Longmaxi formation shale gas reservoir in the Weiyuan area based on elemental characteristics | |
| CN115204563A (en) | Evaluation method suitable for ore exploration target layer of sandstone-type uranium ore | |
| CN114397422A (en) | Method for calculating element mobility in process of forming sandstone-type uranium deposit clay minerals | |
| Fu et al. | Quantitative analysis of paleoenvironment of Qingshankou Formation in northern Songliao Basin, northeastern China | |
| Li et al. | Groundwater quality evaluation model based on set pair analysis and its application | |
| CN114063191B (en) | Basin compact sandstone uranium deposit prospecting method | |
| CN111859244B (en) | Water footprint method for calculating shale gas development | |
| Lin et al. | Restoration of Paleosedimentary Environment of Qingshankou Formation in Songliao Basin | |
| CN118364953A (en) | Method for rapidly predicting ore body component zoning of hidden gas-liquid jet-over deposition type magnesite ore deposit | |
| CN117310128A (en) | Method for discriminating favorable ore formation layer of sandstone-type uranium ore |
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 |