NL2032643B9 - Method for identifying deposit types based on chlorite characteristic elements - Google Patents
Method for identifying deposit types based on chlorite characteristic elements Download PDFInfo
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- NL2032643B9 NL2032643B9 NL2032643A NL2032643A NL2032643B9 NL 2032643 B9 NL2032643 B9 NL 2032643B9 NL 2032643 A NL2032643 A NL 2032643A NL 2032643 A NL2032643 A NL 2032643A NL 2032643 B9 NL2032643 B9 NL 2032643B9
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- 229910001919 chlorite Inorganic materials 0.000 title claims abstract description 60
- 229910052619 chlorite group Inorganic materials 0.000 title claims abstract description 60
- QBWCMBCROVPCKQ-UHFFFAOYSA-N chlorous acid Chemical compound OCl=O QBWCMBCROVPCKQ-UHFFFAOYSA-N 0.000 title claims abstract description 58
- 238000000034 method Methods 0.000 title claims abstract description 31
- 239000011435 rock Substances 0.000 claims abstract description 17
- 230000002349 favourable effect Effects 0.000 claims abstract description 12
- 238000012360 testing method Methods 0.000 claims abstract description 12
- 229910052500 inorganic mineral Inorganic materials 0.000 claims abstract description 11
- 239000011707 mineral Substances 0.000 claims abstract description 11
- 238000012545 processing Methods 0.000 claims abstract description 11
- 238000005070 sampling Methods 0.000 claims abstract description 10
- 238000005065 mining Methods 0.000 claims abstract description 6
- 239000000523 sample Substances 0.000 claims description 27
- 230000004075 alteration Effects 0.000 claims description 23
- 238000004458 analytical method Methods 0.000 claims description 18
- 229910052745 lead Inorganic materials 0.000 claims description 14
- 229910052748 manganese Inorganic materials 0.000 claims description 14
- 229910052725 zinc Inorganic materials 0.000 claims description 14
- 230000002159 abnormal effect Effects 0.000 claims description 13
- 238000000095 laser ablation inductively coupled plasma mass spectrometry Methods 0.000 claims description 12
- 229910052749 magnesium Inorganic materials 0.000 claims description 11
- 229910052759 nickel Inorganic materials 0.000 claims description 11
- 238000010586 diagram Methods 0.000 claims description 10
- 239000000126 substance Substances 0.000 claims description 10
- 230000033558 biomineral tissue development Effects 0.000 claims description 9
- 229910052804 chromium Inorganic materials 0.000 claims description 9
- 238000011065 in-situ storage Methods 0.000 claims description 8
- 210000003462 vein Anatomy 0.000 claims description 8
- 229910002696 Ag-Au Inorganic materials 0.000 claims description 5
- 229910052726 zirconium Inorganic materials 0.000 claims description 5
- 229910020218 Pb—Zn Inorganic materials 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 3
- 230000000149 penetrating effect Effects 0.000 claims description 2
- 230000002547 anomalous effect Effects 0.000 claims 4
- 230000007613 environmental effect Effects 0.000 abstract description 2
- 230000008569 process Effects 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 3
- 238000010249 in-situ analysis Methods 0.000 description 3
- 238000012216 screening Methods 0.000 description 3
- 229910018512 Al—OH Inorganic materials 0.000 description 1
- 235000008733 Citrus aurantifolia Nutrition 0.000 description 1
- 241001442234 Cosa Species 0.000 description 1
- 241000283283 Orcinus orca Species 0.000 description 1
- 241000353355 Oreosoma atlanticum Species 0.000 description 1
- 235000011941 Tilia x europaea Nutrition 0.000 description 1
- QBWCMBCROVPCKQ-UHFFFAOYSA-M chlorite Chemical compound [O-]Cl=O QBWCMBCROVPCKQ-UHFFFAOYSA-M 0.000 description 1
- 238000010224 classification analysis Methods 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000012850 discrimination method Methods 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000921 elemental analysis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- JEIPFZHSYJVQDO-UHFFFAOYSA-N ferric oxide Chemical compound O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 239000004571 lime Substances 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000004452 microanalysis Methods 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 238000013316 zoning Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V9/00—Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00
- G01V9/007—Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00 by detecting gases or particles representative of underground layers at or near the surface
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
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- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Geology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Geophysics (AREA)
- Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
Abstract
Disclosed is a method for identifying deposit types based on chlorite characteristic elements, 5 which comprises the following steps: Acquiring favourable metallogenic areas, according to the historical data of the mining area, collecting lithologic samples containing chlorite, acquiring the characteristics of rock samples, and recording the coordinate data of the rock samples; acquiring the characteristic element content value based on the characteristics of the lithologic sample, processing the characteristic value of the characteristic element content, drawing a scatter plot of 10 the characteristic element content value, and judging the deposit types corresponding to different sampling places according to the spatial distribution of the scatter plot. The application has the advantages of short testing time, low cost, convenience, quickness, environmental protection, and can effectively shorten the mineral exploration period without damaging the environment. The method can greatly improve the accuracy of rapid discrimination of prospecting types and 15 prediction of target areas in mining areas.
Description
METHOD FOR IDENTIFYING DEPOSIT TYPES BASED ON CHLORITE CHARACTERISTIC
ELEMENTS
The application belongs to the technical field of mineral exploration methods, and in particular to a method for identifying deposit types based on chlorite characteristic elements.
In the fragile area of plateau ecological environment, the conventional exploration methods cost a lot and take a long time, so it is difficult to provide a clear exploration direction quickly.
How to predict and evaluate the resource potential at the scale of ore concentration area through limited exploration and evaluation techniques and methods, and effectively guide deposit exploration, is the focus of deposit prospectors at home and abroad. The conventional discrimination of prospecting types has the following disadvantages: In order to carry out comprehensive research such as large-scale mapping and systematic sampling analysis, the genesis or prospecting type of the deposit can be determined only after the occurrence of the ore body, the relationship with the surrounding rock, mineralization, ore-forming materials, and the sources of ore-forming fluids are clear. The cycle is long and the cost is high, which cannot meet the urgent need for rapid exploration and evaluation at the scale of ore concentration areas.
The application aims to provide a method for identifying deposit types based on chlorite characteristic elements. Based on the quantitative difference of chlorite characteristic elements of different deposits, the method organically combines mineral geochemistry with ore prospecting prediction, and solves the technical problem of rapid exploration and evaluation of mineral resources in the plateau area.
To achieve the above objects, the application provides a method for identifying deposit types based on chlorite characteristic elements, which comprises the following steps:
Acquiring favourable metallogenic areas, according to the historical data of the mining area, collecting lithologic samples containing chlorite, acquiring the characteristics of rock samples, and recording the coordinate data of the rock samples; acquiring the characteristic element content value based on the characteristics of the lithologic sample, processing the characteristic value of the characteristic element content, drawing a scatter plot of the characteristic element content value, and judging the deposit types corresponding to different sampling places according to the spatial distribution of the scatter plot.
Optionally, the rock sample characteristics include lithology, alteration and mineralization.
Optionally, the content values of the characteristic elements include: One or more of Ni element content, Mg element content, Cr element content and comprehensive element content in the chlorite; the comprehensive element content includes the total content of Mn element, Pb element and Zn element; the comprehensive elements include Mn element, Pb element and Zn element.
Optionally, obtaining the characteristic element content value comprises: Performing petrographic observation on that characteristics of the rock sample to obtain alteration type and chemical composition data of the rock sample, performing laser ablation inductively coupled plasma mass spectrometry in-situ micro-area element analysis test on a part in the rock sample where chlorite can be observed as a detection micro-area to obtain the content value of the characteristic element.
Optionally, the alteration types of chlorite include hydrothermal vein alteration and disseminated alteration.
Optionally, obtaining chemical composition data comprises analysing the chemical composition by an electron probe.
Optionally, the data processing comprises:
Obtaining a corresponding micro-area element integral curve according to micro-area element analysis data of the chlorite in the lithology sample, and obtaining an abnormal peak based on the element integral curve; and according to the abnormal peak in the element integral curve, removing invalid data of the micro-area element analysis data to obtain micro-area element data of the chlorite after processing.
Optionally, the abnormal peak includes: One or both of abnormal peaks containing Ti, Pb and Zr elements and abnormal peaks containing K and Sr elements; according to the laser ablation inductively coupled plasma mass spectrometry analysis, the laser strikes the inclusion to obtain abnormal peaks of Ti, Pb and Zr elements; according to the laser ablation inductively coupled plasma mass spectrometry analysis, the laser penetrates through the chlorite mineral to obtain abnormal peaks of K and Sr elements.
Optionally, judging the type of the ore deposit corresponding to different sampling sites according to the spatial distribution of the scatter diagram comprises: According to the processed data, drawing the scatter diagram on the basis of the content of Ni, Mg and Cr in the chlorite characteristic elements of the same lithology and the same alteration type and the total content of the characteristic elements, identifying the prospecting type of Ni and Mg according to the projection range of Ni and Mg, Cr and comprehensive elements in scatter plot.
Optionally, the deposit types corresponding to different sampling sites include:
When the content of Ni element is 10-40 ppm, the content of Mg element is 9,000-12,000 ppm, the content of Cr element is 1-100ppm, and the total content of Mn, Pb and Zn elements is 3,000-10,000 ppm, it is determined that the deposit is a epithermal Ag-Au deposit;
when the content of Ni element is 1-20 ppm, the content of Mg element is 7,000-11,000 ppm, the content of Cr element is 1-100 ppm, and the total content of Mn, Pb and Zn elements is 9,000-14,000 ppm, it is determined that the deposit is a hydrothermal vein type Pb-Zn deposit; when the content of Ni element is 30-1,000 ppm, the content of Mg element is 10,000- 19,000 ppm, the content of Cr element is 4-2,000 ppm, and the total content of Mn, Pb and Zn elements is 1,000-7,000 ppm, it is determined that the deposit is a porphyry Cu deposit.
The application has the technical effects that: the application discloses a method for identifying deposit types based on chlorite characteristic elements. The application has the advantages of short testing time, low cost, convenience, quickness, environmental protection, and can effectively shorten the mineral exploration period without damaging the environment.
The method can greatly improve the accuracy of rapid discrimination of prospecting types and prediction of target areas in mining areas, reduce exploration risks and improve prospecting efficiency, and has important popularization and application values.
The accompanying drawings, which form a part hereof, and in which is shown by way of illustration a further understanding of the application, and in which is shown by way of illustration the illustrative embodiments and the description thereof, serve to explain the application and are not to be construed as unduly limiting the same. In figures:
FIG. 1 is a flowchart of a method for identifying deposit types based on chlorite characteristic elements in the embodiments of the present application;
FIG. 2 is a graph showing the relationship between the content of different chlorite characteristic elements and the type of prospecting in the embodiments of the present application;
FIG. 3 is a diagram of a favourable ore-forming area delineated based on hyperspectral remote sensing of a certain ore concentration area in the embodiments of the present application;
FIG. 4 is a schematic diagram of chlorite laser in-situ target analysis and testing according to an embodiment of the present application.
It should be noted that the embodiments in this application and the features in the embodiments can be combined with each other without conflict. The application will be described in detail with reference to the drawings and embodiments.
It should be noted that the steps shown in the flowchart of the figure can be executed in a computer system such as a set of computer-executable instructions, and, although a logical sequence is shown in the flowchart, in some cases, the steps shown or described can be executed in a sequence different from that here.
As shown in FIG. 1-FIG. 4, the embodiment provides a method for identifying deposit types based on chlorite characteristic elements, which comprises:
Acquiring favourable metallogenic areas, according to the historical data of the mining area, collecting lithologic samples containing chlorite, acquiring the characteristics of rock samples, and recording the coordinate data of the rock samples; acquiring the characteristic element content value based on the characteristics of the lithologic sample, processing the characteristic value of the characteristic element content, drawing a scatter plot of the characteristic element content value, and judging the deposit types corresponding to different sampling places according to the spatial distribution of the scatter plot. (1) Regional data collection and comprehensive analysis
Collecting systematically the existing geological, geophysical, geochemical and remote sensing data in the study area, comprehensively analysing its metallogenic potential, and delineating the favourable ore-forming areas. (2) Collection of chlorite samples
Collecting the bedrock samples containing chlorite according to certain zoning in the above screened favourable ore-forming sections, so as to ensure that the density of sample points collected in the study area is > 1/Km?. Adopting positioning system such as GPS for position at each sample point, acquiring coordinate data X and Y according to a rectangular coordinate system, taking field photos, making detailed field records at each observation point to describe the lithology, alteration and mineralization characteristics of each sample, so as to provide a basis for classification analysis and screening according to the lithology, alteration and mineralization characteristics in the subsequent step (4), and which is more conducive to scientific discrimination of ore-prospecting types in step (5). (3) Analysis and testing of sample characteristic elements
Grinding the collected samples into probe chips and laser in-situ targets, observing the corresponding chlorite alteration characteristics under a microscope, recording in detail the chlorite alteration types (including hydrothermal vein or disseminated, etc.), conducting electron probe composition analysis according to the alteration type classification, and recording the chemical composition of chlorite under each alteration type, according to the analysis results, selecting the developed part of chlorite as the detection micro-area of laser ablation inductively coupled plasma mass spectrometry (LA-ICPMS), and carrying out the in-situ micro-area element analysis test to obtain the recorded data of each test point. (4) Data processing and interpretation
Using data processing software such as LADRIib software to process the recorded data obtained in step (3), including: (1) Data importing: importing the elemental analysis record data obtained at each chlorite sample in-situ micro-area test point into LADRIib software in batch; (2)
Data interpretation: obtaining the micro-area element integral curve of the sample of each observation point, and adjusting the start time and end time of the integral curve of each observation point one by one according to the principle of ensuring the flattest and widest signal 5 range of the selected element integral curve; (3) Data screening: according to the abnormal peaks of the element integral curve, removing invalid data therein, such as data hitting inclusions (abnormal peaks of Ti, Pb and Zr elements) or penetrating chlorite minerals (abnormal peaks of K and Sr elements); (4) Data exporting: exporting each single-point micro- area data summary screened by interpretation into a csv format file in batch. (5) Discrimination of prospecting types
According to the processed data, drawing the scatter diagram on the basis of the content of chlorite characteristic elements Ni, Mg and Cr of the same lithology and the same alteration type (hydrothermal vein or disseminated) and the total content of characteristic elements Mn,
Pb and Zn, identifying the prospecting type according to the projection range of Ni and Mg, Cr and Mn, Pb and Zn in the scatter plot, as shown in FIG. 2.
Where , the criteria of prospecting types include:
The quantitative indexes of chlorite characteristic elements in the epithermal Ag-Au deposit are as follows:
When the content of Ni element is 10-40 ppm, the content of Mg element is 9,000-12,000 ppm, the content of Cr element is 1-100ppm, and the total content of Mn, Pb and Zn elements is 3,000-10,000 ppm in the chiorite, it is determined that the deposit is the epithermal Ag-Au deposit; when the content of Ni element is 1-20 ppm, the content of Mg element is 7,000-11,000 ppm, the content of Cr element is 1-100 ppm, and the total content of Mn, Pb and Zn elements is 9,000-14,000 ppm in the chivrite, it is determined that the deposit is a hydrothermal vein type
Pb-Zn deposit; when the content of Ni element is 30-1,000 ppm, the content of Mg element is 10,000- 19,000 ppm, the content of Cr element is 4-2,000 ppm, and the total content of Mn, Pb and Zn elements is 1,000-7,000 ppm in the chicrite, it is determined that the deposit is a porphyry Cu deposit.
Embodiment 1
Taking a mine concentration area in a certain place as an example, the process of implementing the application includes: a. Collecting systematically the existing geological, geophysical, geochemical and remote sensing data in the study area, comprehensively analysing its metallogenic potential, and delineating the favourable ore-forming areas named A, B, C, as shown in FIG. 2, where, the background layer is the contour map of Al-OH wavelength by hyperspectral remote sensing. The lower the wavelength, the higher the formed temperature, and the more favourable it is for mineralization. According to the low concentration center of AI-OH wavelength, three favourable areas for mineralization are delineated. b. Sample collection in the field:
Selecting A, B and C, which are favourable areas for mineralization, to collect samples of chlorite on the surface. During the sampling process, record the following information truthfully and in detail, as shown in Table 1:
Table 1 umber
SHIT] 338957 | Dacie porphyry Quartz-chlorite Pyritizatson 8 tl 12218 ) B
U c. Sample testing:
Grinding the collected samples into probe chips and laser in-situ targets, observing the corresponding chlorite alteration characteristics under a microscope, recording in detail the chlorite alteration types (including hydrothermal vein or disseminated, etc.}, conducting electron probe composition analysis according to the alteration type classification, and recording the chemical composition and types of chlorite, and marking with a marker, selecting representative chlorite minerals to carry out in-situ microanalysis of elements by laser ablation inductively coupled plasma mass spectrometry (LA-ICPMS), as shown in FIG. 4. Among them, the delineated area is the part where chlorite develops, carrying out the laser La-ICP-Ms in-situ analysis test on it, and marking the number of each test point. The in-situ analysis data are shown in Table 2. d. Data processing: using the LADRIib software for data processing, including data import, data interpretation and data screening. e. Discrimination of prospecting types
Using Origin to process the final data, and drawing the comparative scatter diagrams of Ni and Mg, Cr and Mn, Pb and Zn, according to the range of projection and the change of characteristic elements, it can be distinguished that the favourable prospecting area in site C is porphyry Cu deposit prospecting type, site B is hydrothermal vein Pb-Zn deposit prospecting type and site A is epithermal Ag-Au prospecting type.
After verification by drilling, the above processes have achieved good prospecting results, as shown in Table 2.
Table 2 wasco [a foren [19 [sn | [sw [8 [8m 8-C10em [Aa lime [a Jews [ts [on [8 [700 wsscorose [a [sews [im Jons |oo Jes |s [avs reren |B se [5 [ow [io [swe [03 [ow rcr |B [uses [ro Jes [is [oom Jw [pen ecrtem |B loss [5 Jos Jo [ower [6 [om orersem |B [oss [io [006 [9 [ses |s [uss ecróm je [is [19 [woes Ju [ooo [eo [os eere |B [wees [076 [nn [am Jo [uses orca |B lwomos [2 17 Js [om Jo Juno cosa Je Js [Loss [un [aw [no [ose ercróem |B [wma [4 Lows [u [ss [7 [m0 covet |B |oo [7 [sem [un Jew [eo [om oreo |B [wesw [1 [799 [wo [swe [as [as wsrcoorm je [sen [or io |3 | Jow [os wsrcoroe [Be [sn [7 [0970 [4 [usr Jor [usm wrote [Be Joss [en | Ja [sw [wr [om wsrrcoor |B [suse [sc [1096 [6 [aoe [oer [ume wsrcooen |B [es [as [wos |6 [nw [ao Juss wsrcor3%m |B [woos [10 swe Jo [os 1 Joss ws [Be lon [as [mw [7 | Ja lms wsrcor7m |B [um [os Joos [7 | |2 [is wss |B [ms [26 [ssn Js Joo Ji Jom wsrcoroem |B [to [io sso [u [ume Ji jo» wsn-cosoent [Be oss |t [es [5 [wes |o [sm wsrcosooem [a Jao In |oo Js | Ja Jew wssocoroen |B [toom [os [900 [10 [ass Ja [ost wssocoroaen |e [oma no Jos Jo [sw Ji Lows wssccorom |B [usess [as Joost | [mo Jaz wm wsrecosoren |e [news [se [on [oer [ew ls Joon wssrcootem |e [us [82 [me [on [ms [sla
MirtPb-Z 80-C3-12-chi 131177
WS83-C03-05cht 126118
WS83-C03-06cht
WS83-C04-03ch 130552
WS83-C04-04chl
WS83-C05-02chl
WS83-C05-03chl 127592
WS83C07-01cht
WS83-C07-02chl
WS83-COT-03chi 130575
WS83-C07-04cht
WS83-C07-05chl 82-C1-3ch 82-C1-5ch
In some specific embodiments, the application can use LA-ICP-MS in-situ analysis technology to upgrade the description of chlorite altered minerals in magma-hydrothermal metallogenic system from macroscopic qualitative to microscopic quantitative interpretation, the change of its characteristic elements is closely combined with the scale prospecting type of ore concentration area, which overcomes the difficulties of low efficiency, long period and high cost of the traditional prospecting type discrimination method.
According to the application, chlorite is used as the distinguishing characteristic mineral, which has good penetration, wide physical and chemical conditions, is sensitive to the change of physical and chemical conditions, can be formed at high temperature, medium temperature and low temperature, has uniform spatial distribution, develops in different alteration zones, and is more conducive to the difference of different mineralization types.
In a further specific embodiment, the application Creatively puts forward that the characteristic elements of Ni, Mg, Cr, Mn + Pb + Zn in chlorite are used to judge the prospecting type, and creatively puts forward the optimal judging range, the elements are sensitive to the changes of temperature, pH and redox conditions, and different types of ore deposits can be accurately distinguished within the optimal judging range.
The foregoing is only a preferred embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any change or alternative that can be easily contemplated by one skilled in the art within the scope of the present application is intended to be covered by the present application. Therefore, the scope of protection of this application should be subject to the scope of protection of the claims.
Claims (10)
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| CN115759815B (en) * | 2022-11-03 | 2023-11-03 | 中国科学院广州地球化学研究所 | Investigation method for judging zebra copper ore type by using crust maturity index |
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| CN116593407B (en) * | 2023-07-17 | 2023-09-29 | 山东省鲁南地质工程勘察院(山东省地质矿产勘查开发局第二地质大队) | Rare earth metal mineral rapid investigation device and method |
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| CN114184591B (en) * | 2021-11-22 | 2022-08-05 | 成都理工大学 | Method for identifying porphyry ore deposit hydrothermal center based on chlorite Raman parameter and element composition |
| CN114720547A (en) * | 2022-03-03 | 2022-07-08 | 西藏鑫湖矿业有限公司 | Method for rapidly delineating low-temperature hydrothermal type Ag-Au deposit hydrothermal mineralization center |
| CN114646682B (en) * | 2022-03-18 | 2023-09-08 | 西藏巨龙铜业有限公司 | Mineral prospecting method based on trace elements of green-curtain stone |
| CN114813903B (en) * | 2022-03-30 | 2023-11-14 | 西藏鑫湖矿业有限公司 | Method for discriminating ore species based on garnet micro-region chemical composition |
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