LU502406B1 - A Method for Judging Resource Potential Based on Metal Stable Isotope Fractionation Model - Google Patents
A Method for Judging Resource Potential Based on Metal Stable Isotope Fractionation Model Download PDFInfo
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- 229910052751 metal Inorganic materials 0.000 title claims abstract description 51
- 238000005194 fractionation Methods 0.000 title claims abstract description 47
- 239000002184 metal Substances 0.000 title claims abstract description 47
- 238000000034 method Methods 0.000 title claims abstract description 34
- 229910052500 inorganic mineral Inorganic materials 0.000 claims abstract description 58
- 239000011707 mineral Substances 0.000 claims abstract description 58
- 238000005259 measurement Methods 0.000 claims abstract description 17
- 238000011160 research Methods 0.000 claims abstract description 10
- 238000000926 separation method Methods 0.000 claims abstract description 8
- 238000004458 analytical method Methods 0.000 claims abstract description 6
- 238000007405 data analysis Methods 0.000 claims abstract description 3
- 238000013480 data collection Methods 0.000 claims abstract description 3
- 230000033558 biomineral tissue development Effects 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 10
- 239000000523 sample Substances 0.000 claims description 8
- 239000000843 powder Substances 0.000 claims description 6
- 239000011435 rock Substances 0.000 claims description 6
- 238000005070 sampling Methods 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 claims description 5
- 239000000203 mixture Substances 0.000 claims description 5
- 238000000100 multiple collector inductively coupled plasma mass spectrometry Methods 0.000 claims description 5
- 238000004090 dissolution Methods 0.000 claims description 4
- 238000009472 formulation Methods 0.000 claims description 4
- 238000009616 inductively coupled plasma Methods 0.000 claims description 4
- 230000007246 mechanism Effects 0.000 claims description 4
- 238000000746 purification Methods 0.000 claims description 4
- 239000000126 substance Substances 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 3
- 230000002123 temporal effect Effects 0.000 claims description 3
- 238000001237 Raman spectrum Methods 0.000 claims description 2
- 230000004075 alteration Effects 0.000 claims description 2
- 230000005484 gravity Effects 0.000 claims description 2
- 238000000227 grinding Methods 0.000 claims description 2
- 238000007885 magnetic separation Methods 0.000 claims description 2
- 238000013507 mapping Methods 0.000 claims description 2
- 230000003287 optical effect Effects 0.000 claims description 2
- 238000001228 spectrum Methods 0.000 claims description 2
- 238000010183 spectrum analysis Methods 0.000 claims description 2
- 230000009897 systematic effect Effects 0.000 claims description 2
- 239000002245 particle Substances 0.000 claims 2
- 150000002739 metals Chemical class 0.000 abstract description 3
- 229910052949 galena Inorganic materials 0.000 description 10
- XCAUINMIESBTBL-UHFFFAOYSA-N lead(ii) sulfide Chemical compound [Pb]=S XCAUINMIESBTBL-UHFFFAOYSA-N 0.000 description 9
- 229910007568 Zn—Ag Inorganic materials 0.000 description 5
- 239000012530 fluid Substances 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000000155 isotopic effect Effects 0.000 description 4
- 238000005191 phase separation Methods 0.000 description 4
- 230000009467 reduction Effects 0.000 description 4
- 206010027336 Menstruation delayed Diseases 0.000 description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N iron Substances [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 3
- 238000005065 mining Methods 0.000 description 3
- BQCADISMDOOEFD-UHFFFAOYSA-N Silver Chemical group [Ag] BQCADISMDOOEFD-UHFFFAOYSA-N 0.000 description 2
- 229910052787 antimony Inorganic materials 0.000 description 2
- WATWJIUSRGPENY-UHFFFAOYSA-N antimony atom Chemical group [Sb] WATWJIUSRGPENY-UHFFFAOYSA-N 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000001556 precipitation Methods 0.000 description 2
- 229910052709 silver Inorganic materials 0.000 description 2
- 239000004332 silver Substances 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 description 1
- 241000907663 Siproeta stelenes Species 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000033116 oxidation-reduction process Effects 0.000 description 1
- 229910052683 pyrite Inorganic materials 0.000 description 1
- 239000011028 pyrite Substances 0.000 description 1
- NIFIFKQPDTWWGU-UHFFFAOYSA-N pyrite Chemical compound [Fe+2].[S-][S-] NIFIFKQPDTWWGU-UHFFFAOYSA-N 0.000 description 1
- 239000010453 quartz Substances 0.000 description 1
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N silicon dioxide Inorganic materials O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V20/00—Geomodelling in general
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Abstract
The invention discloses a method for judging resource potential based on a metal stable isotope fractionation model, which comprises the following steps: S1. Regional data collection, comprehensive analysis of metallogenic potential; S2. Field geological survey to study the geological characteristics of the deposit; S3. Minerals and ores are studied by microscope and analytical equipment, and metallogenic periods are divided. S4. Sample collection and single mineral separation; S5. Stable isotope measurement of metals; S6. Isotope data analysis; S7. Establishment of metal stable isotope model and discrimination of resource potential. By adopting the method for judging the resource potential based on the metal stable isotope fractionation model, the invention can solve the problem that the existing isotope geochemical research has certain indirection and speculation in metal deposit research and prospecting survey, and reduce the exploration risk.
Description
DESCRIPTION _— LA 02406 A Method for Judging Resource Potential Based on Metal Stable Isotope Fractionation Model
FIELD OF THE INVENTION The invention relates to the technical field of mineral exploration, in particular to a method for judging resource potential based on a metal stable isotope fractionation model.
BACKGROUND OF THE RELATED ART With the continuous development and consumption of mineral resources, it is increasingly difficult to find new deposits. In recent years, with the progress of measuring instruments and the improvement of measurement technology, stable isotopes of metals have been widely used in deposit research and prospecting, and some achievements have been made, which has been rapidly popularized.
In the research of metal deposits and prospecting and exploration, the source of metal and its metallogenic process are the key issues. Many important advances in modern ore deposit science are related to the tracing technology of stable isotopes. In the past, mineralogists have been relying on the traditional isotopes of gangue minerals (C-H-O-S-N; Sr-Nd, etc.) geochemical studies trace ore-forming fluid, material source and inversion of ore-forming process. However, from the perspective of metallogeny, these elements are not metallogenic elements themselves. Therefore, the traditional isotope geochemical study of metal deposits is indirect and speculative, and the exploration risk is high.
SUMMARY OF THE INVENTION The purpose of the invention is to provide a method for judging resource potential based on metal stable isotope fractionation model, which solves the problem that the existing isotope geochemistry research has certain indirection and speculation in metal deposit research and prospecting survey, and reduces the 1
DESCRIPTION opbmion ok. woes To achieve the above purpose, the present invention provides a method for judging resource potential based on a metal stable isotope fractionation model, which includes the following steps: S1. Regional data collection, comprehensive analysis of metallogenic potential; S2. Field geological survey to study the geological characteristics of the deposit; S3. Minerals and ores are studied by microscope and analytical equipment, and metallogenic periods are divided.
S4. Sample collection and single mineral separation Selecting ore samples in different mineralization periods and spatial positions for sampling, crushing the collected ore samples, sorting single minerals, and purifying the sorted single minerals; S5. Metal stable isotope measurement Carrying out accurate element content determination on single mineral, dissolving single mineral powder, chemically purifying and separating metal elements, and conduct metal stable isotope measurement on the separated and purified solution to obtain measurement data; S6. Isotope data analysis According to the measurement data, combined with the study of geological characteristics, mineralogy, mineralogy and petrography of the deposit, the fractionation mechanism of metal stable isotopes is determined at first.
Then, the stable isotope data of metals are projected according to the metallogenic periods and spatial positions, and the spatio-temporal evolution model of metallogenic hydrothermal fluid is constrained according to the change characteristics.
S7. Establishment of metal stable isotope model and discrimination of resource potential Selecting fractionation formula and fractionation factor, the fractionation 2
DESCRIPTION model, which period of the proven ore body is in the whole metallogenic process is calculated, and then the resource potential of the mining area is judged.
Preferably, the step S1 specifically comprises: Collect existing geological, geophysical, geochemical and remote sensing data, extract geological and mineral information, establish geological, geophysical, geochemical and remote sensing databases, and comprehensively analyze metallogenic potential.
Preferably, the step S2 specifically comprises: After fully sorting out and analyzing the existing data, the field geological survey is carried out to find out the regional structural features, magmatic evolution, lithologic association of ore-rich strata, mineral distribution, ore-controlling factors and metallogenic regularity, and to clarify the spatial distribution characteristics of ore-forming elements, ore body output characteristics, the temporal and spatial relationship between ore bodies and magmatic rocks and host country rocks, ore types, alteration characteristics of country rocks, mineral paragenetic association and ore structure.
Preferably, the step S3 specifically comprises: Carry out in-door mineralogy, mineralogy and petrography research, carry out systematic mineral identification under optical microscope, combine electron probe backscattering electron image, spectrum and energy spectrum analysis technology, element Mapping, and laser Raman spectrum analysis, determine mineral types, mineral forms, mineral compositions, symbiotic association of ore mineral assemblages and altered mineral assemblages, find out ore structure and altered types, determine the generation sequence and symbiotic relationship of each mineral, and accurately divide metallogenic periods.
Preferably, the step S4 specifically comprises: Select ore samples of different metallogenic periods and spatial positions for sampling, record each sampling point in detail, take field photos, and describe the characteristics of each sample; Crushing the collected ore samples, grinding to 40~60 meshes, and sorting single mineral under binocular microscope according to the size, shape and color 3
DESCRIPTION ground to 200 meshes, and further purified by gravity separation and magnetic separation, and the purity of single mineral powder reaches over 99.99%. Preferably, in the step S5, an inductively coupled plasma mass spectrometer (ICP-MS) is used to accurately measure the element content of a single mineral; Dissolution of single mineral and chemical purification and separation of metal elements were completed in ultra-clean laboratory, and the metal stable isotope of the separated and purified solution was analyzed by multi-receiver inductively coupled plasma mass spectrometer MC-ICP-MS.
The invention relates to a method for judging resource potential based on metal stable isotope fractionation model, which uses advanced MC-ICP-MS measuring and analysis technology to analyze single minerals in ore samples of different metallogenic periods and spatial positions in mining areas, and uses the mechanism and variation characteristics of metal stable isotope fractionation to constrain the temporal and spatial evolution mode of metallogenic hydrothermal fluid, thereby establishing the metal stable isotope fractionation model, calculating which period of the proven ore body is in the whole metallogenic process, and judging the resource potential of mining areas. The method for judging the resource potential based on the metal stable isotope fractionation model has the advantages of short measurement period, low overall cost, accurate judgment, environmental protection, effective reduction of mineral exploration period, maximum reduction of exploration cost, no damage to the environment, guaranteed prediction accuracy and great reduction of exploration risk, and is a new exploration method with important popularization and application values.
BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is a diagram of Ag isotopic triple-phase separation model in the first embodiment of the method for judging resource potential based on metal stable isotope fractionation model of the present invention; 4
DESCRIPTION first embodiment of the method for judging resource potential based on the metal stable isotope fractionation model of the present invention; Fig. 3 is a spatially changing diagram for Ag isotope value of galena according to the first embodiment of the method for judging resource potential based on metal stable isotope fractionation model; Fig. 4 is Ag isotopic triple-phase separation modelof galena according to the first embodiment of the method for judging resource potential based on the metal stable isotope fractionation model.
Fig. 5 is a conceptual model of the relationship between silver-bearing mineral precipitation and Ag isotope composition in the vapor-liquid-solid three-phase separation process of the first embodiment of the method for judging resource potential based on metal stable isotope fractionation model of the present invention; Fig. 6 is a spatially changing diagram for Sb isotope value of boulangerite according to the second embodiment of the method for judging resource potential based on metal stable isotope fractionation model.
Fig. 7 is a method for judging resource potential based on metal stable isotope fractionation model. The oxidation-reduction Rayleigh fractionation model of Sb isotope ofboulangerite in the second embodiment of the present invention; Fig. 8 is a method for judging resource potential based on metal stable isotope fractionation model. The Sb isotope fractionation and antimony-bearing ore precipitation model diagram of the second embodiment of the present invention.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The technical scheme of that invention will be further described in detail by the following figure and embodiments.
Embodiment 1 Taking Zhaxikang Sb-Pb-Zn-Ag deposit as an embodiment, the Ag isotopic 5
DESCRIPTION __———_ 502406 triple-phase separation model is used to judge the resource potential.
S1. Collect existing geological, geophysical, geochemical and remote sensing data in Zhaxikang orefield, extract geological and mineral information, establish geological, geophysical, geochemical and remote sensing databases, and comprehensively analyze metallogenic potential.
S2. Carry out field geological survey and study on geological characteristics of Zhaxikang deposit.
S3. In-door mineralogy, mineralogy and petrography studies were carried out, and the mineralization process of Zhaxikang deposit was divided into two episodes and six periods, as shown in Table 1. Table 1 Ore paragenetic sequence within the Zhaxikang Sb-Pb-Zn-Ag deposit. on Je sme sm ses avs avn ge Ç Sisge MOSES | ; ; ; carbonate OR [eek Setaierite | ede ook +++ Galena *xékx x*** Pyrite ** | ddd k Arsenspyriet Seok i * Lihalsapyrits + * Quartz doko ét hi iii Dinde Catoue x* | Ahk Sericits | * Soslangents xxx damesonte | xxx BRUNS | dc Frsibasgits | xx Teirohedrite {++ Andonte ** Zinckorihe dede Shiite XX Qinnabear xx Gayserhe *# Vatentimite ** Fertonvants : ** Smühsonite ** Bssditmianite : : # À Traverting : È + Malachite . Notes: Fe dedi ai ** * Duminsnt Maing friermaedists Air S4. The ore samples of Zhaxikang deposit in different metallogenic periods 6
DESCRIPTION —_— 502406 and spatial positions were sampled, and the target single mineral-galena was sorted by single mineral.
S5. ICP-MS instrument was used to accurately measure the content of Ag in galena.
According to the measurement results, a proper weight of single mineral powder was selected, and the dissolution and chemical purification of Ag were completed in the ultra-clean laboratory.
MC-ICP-MS was used to measure the Ag isotope of the separated and purified solution, and the measurement data were obtained.
The measurement data are shown in Table 2. Table 2 Silver isotopic compositions of galena in Zhaxikang Sb-Pb-Zn-Ag deposit Sample Number Mineral 5109 A ENTST 978 Ag (%o) 26 Ag (ppm) 4425-25-4 Gn2 6.07 0.015 398 4475-6-2 Gn3 1.06 0.015 825 4475-8-3 Gn3 1.72 0.015 931 4475-11-1 Gn2 1.26 0.015 761 4475-16-1 Gn3 2.14 0.015 1080 4475-17-1 Gn2 1.80 0.015 860 4475-21-1 Gn3 2.27 0.015 644 4475-25-6 Gn2 0.17 0.015 808 4475-27-2 Gn2 3.61 0.015 853 4475-29-1 Gn3 0.82 0.015 937 4525-6-3 Gn3 0.11 0.015 890 4525-8-1 Gn3 0.05 0.015 880 4525-94 Gn3 0.37 0.015 969 4525-10-2 Gn2 2.52 0.015 880 4525-16-1 Gn3 0.99 0.015 821 4525-21-1 Gn3 2.12 0.015 657 4525-21-2 Gn2 2.31 0.015 1036 4540-21-1 Gn3 1.36 0.015 919 4554-21-1 Gn3 0.62 0.015 943 4575-6-1 Gn3 —0.09 0.015 2191 4575-8-1 Gn3 _3.65 0.015 1036 4575-16-1 Gn3 0.26 0.015 1121 4575-25-7 Gn3 —0.27 0.015 485 4575-27-2 Gn3 0.61 0.015 1388 Among them, Gn2 = Period 2 galena; and Gn3 = Period 3 galena.
S6. Combined with the study of geological characteristics, mineralogy, 7
DESCRIPTION gas-liquid-solid separation of Ag isotope was determined at first, as shown in Figure 1. As shown in Figures 2 and 3, according to the change chart of Ag isotope value of galena from early period to late period temporally (Figure 2) and the trend of gradual lightening from deep to shallow along the ore body tendency spatially (Figure 3), the spatial evolution pattern of ore-forming hydrothermal fluid along the ore body tendency is restricted from deep to shallow; Then it can be judged that the ore body should extend from the deep part to the surface, and there is still great prospecting potential in the deep part.
S7. Select the fractionation formula and fractionation factor, and establish the three-phase fractionation model of Ag isotope according to the following formula, as shown in Figure 4: Sg = (EX; — =v X Ferm) (1 — Em) Fir = Fy x {1 — Mean) As shown in Figure 5, according to the calculation of Rayleigh fractionation model, the ore collected from 4275m to 4575m precipitated in 12.79% ~ 84.23% of the whole mineralization process, the shallow Ag mineralization (84.23% ~ 100%) may have been denuded, and the early Ag mineralization (0% ~ 12.79%) show great metallogenic potential in the deeper area below 4,275m.
Embodiment 2 Taking Zhaxikang Sb-Pb-Zn-Ag deposit as an embodiment, the Sb (Sb) isotope redox Rayleigh fractionation model is used to judge the resource potential.
S1. Collect existing geological, geophysical, geochemical and remote sensing data in Zhaxikang orefield, extract geological and mineral information, establish geological, geophysical, geochemical and remote sensing databases, and comprehensively analyze metallogenic potential.
S2. Carry out field geological survey and study on geological characteristics of Zhaxikang deposit. 8
DESCRIPTION —_— 0 ————————————————————11J502406 S3. In-door mineralogy, mineralogy and petrography studies were carried out, and the mineralization process of Zhaxikang deposit was divided into two episodes and six periods, as shown in Table 1 above.
S4. The ore samples of Zhaxikang deposit in different metallogenic periods and spatial positions were sampled, and the target single mineral-boulangerite was sorted by single mineral.
S5. ICP-MS instrument was used to accurately measure the Sb content of galena. According to the measurement results, the proper weight of single mineral powder was selected, and the dissolution and chemical purification of Sb element were completed in the ultra-clean laboratory. The Sb isotope of the separated and purified solution was measured by MC-ICP-MS, and the measurement data were obtained. The measurement data are shown in Table 3.
Table 3 Iron and Antimony Isotope Compositions of boulangerite in Zhaxikang Sb-Pb-Zn-Ag Deposit Sample Number Mineral 5!23SDNIST 31024 (%0) 26 4475-2-1 Blr4 0.03 0.02 4475-8-3 Blr4 0.01 0.02 4475-10-3 Blr4 0.13 0.02 4475-16(2)-1 Blr4 —0.27 0.02 4475-19-1 Blr4 0.02 0.02 4475-25-2 Blr4 —0.13 0.02 4475-27-1 Blr4 0.03 0.02 4475-29-1 Blr4 0.36 0.02 4525-8-2 Blr4 0.04 0.02 4525-16-1 Blr4 —0.11 0.02 4525-19-h2 Blr4 0.14 0.02 4525-20-2 Blr4 —0.06 0.02 4575-29-2 Blr4 —0.20 0.02 HD-1-1(4525-21-1) Blr4 0.01 0.02 HD-2-3(4540) Blr4 0.14 0.02 HD-3-1(4554) Blr4 0.19 0.02 In which Blr 4 = period 4 boulangerite.
S6. Combined with the study of geological characteristics, mineralogy, mineralogy and petrography of the deposit, the fractionation mechanism of Sb isotope was determined at first. As shown in Figure 6, according to the reduction 9
DESCRIPTION boulangerite, it is determined that the Sb isotope value gradually becomes heavier from the early period to the late period, which corresponds to the trend that the Sb isotope value gradually becomes heavier from deep to shallow along the ore body tendency spatially, which restricts the spatial evolution mode of ore-forming hydrothermal fluid from deep to shallow along the ore body tendency (Figure 6); Then it can be judged that the ore body should extend from the deep part to the surface, and there is still great prospecting potential in the deep part.
S7. Select the fractionation formula and fractionation factor, and establish the Sb isotope redox Rayleigh fractionation model according to the following formula, as shown in Figure 7: SXp; = 8X5 + AXm-ri x InF 5X = SXpiXF +8Xy x (1—F) AXm-r = 8X4 — 8Xh, =1000Inom-r As shown in Figure 8, according to the calculation of Rayleigh fractionation model, the ore collected from 4475m to 4575m is precipitatedin the middle period of the whole mineralization process (42.3% ~ 83.7%). The shallow Sb mineralization has confirmed the existence of the late period (83.7% ~ 100%), and the early period (0% ~ 42.3%)Sb mineralization shows great metallogenic potential in the depth below 4475 m.
Therefore, by adopting the method for judging the resource potential based on the metal stable isotope fractionation model, the invention can solve the problem that the existing isotope geochemistry research has certain indirection and speculation in metal deposit research and prospecting survey, and reduce the exploration risk.
Finally, it should be noted that: The above embodiments are only used to illustrate the technical scheme of the present invention, but not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that: It can still 10
DESCRIPTION present invention, and these modifications or equivalent substitutions cannot make the modified technical solution depart from the spirit and scope of the technical solution of the present invention.
11
Claims (6)
- CLAIMS fractionation model is characterized by comprising the following steps: S1. Regional data collection, comprehensive analysis of metallogenic potential; S2. Field geological survey to study the geological characteristics of the deposit; S3. Minerals and ores are studied by microscope and analytical equipment, and metallogenic periods are divided.S4. Sample collection and single mineral separation Selecting ore samples in different mineralization periods and spatial positions for sampling, crushing the collected ore samples, sorting single minerals, and purifying the sorted single minerals; S5. Metal stable isotope measurement Carrying out accurate element content determination on single mineral, dissolving single mineral powder, chemically purifying and separating metal elements, and conduct metal stable isotope measurement on the separated and purified solution to obtain measurement data; S6. Isotope data analysis According to the measurement data, combined with the study of geological characteristics, mineralogy, mineralogy and petrography of the deposit, the fractionation mechanism of metal stable isotopes is determined at first; Then, the metal stable isotope data are projected according to the metallogenic periods and spatial positions, and the spatio-temporal evolution model of metallogenic hydrothermal solution is constrained according to the change characteristics.S7. Establishment of metal stable isotope model and discrimination of resource potential Selecting fractionation formula and fractionation factor, the fractionation model of metal stable isotope is established, and according to the fractionation model, which period of the proven ore body is in the whole metallogenic process is 12
- 2. The method for judging resource potential based on metal stable isotope fractionation model according to claim 1 is characterized in that: The step S1 specifically comprises: Collect existing geological, geophysical, geochemical and remote sensing data, extract geological and mineral information, establish geological, geophysical, geochemical and remote sensing databases, and comprehensively analyze metallogenic potential.
- 3. The method for judging resource potential based on metal stable isotope fractionation model according to claim 1 is characterized in that: Said step S2 specifically comprises: After fully sorting out and analyzing the existing data, the field geological survey is carried out to find out the regional structural features, magmatic evolution, lithologic association of ore-rich strata, mineral distribution, ore-controlling factors and metallogenic regularity, and to clarify the spatial distribution characteristics of ore-forming elements, ore body output characteristics, the temporal and spatial relationship between ore bodies and magmatic rocks and host country rocks, ore types, alteration characteristics of country rocks, mineral paragenetic association and ore structure.
- 4. The method for judging resource potential based on metal stable isotope fractionation model according to claim 1 is characterized in that: The step S3 specifically comprises: Carry out in-door mineralogy, mineralogy and petrography research, carry out systematic mineral identification under optical microscope, combine electron probe backscattering electron image, spectrum and energy spectrum analysis technology, element Mapping, and laser Raman spectrum analysis, determine mineral types, mineral forms, mineral compositions, symbiotic association of ore mineral assemblages and altered mineral assemblages, find out ore structure and altered types, determine the generation sequence and symbiotic relationship of each mineral, and accurately divide metallogenic periods.
- 5. The method for judging resource potential based on metal stable isotope fractionation model according to claim 1 is characterized in that: Said step S4 13CLAIMS spatial positions for sampling, record each sampling point in detail, take field photos, and describe the characteristics of each sample; Crushing the collected ore samples, grinding to 40-60 meshes, and sorting single mineral under binocular microscope according to the size, shape and color characteristics of mineral particles; The separated single mineral particles are ground to 200 meshes, and further purified by gravity separation and magnetic separation, and the purity of single mineral powder reaches over 99.99%.
- 6. The method for judging resource potential based on metal stable isotope fractionation model according to claim 1 is characterized in that: In the step S5, an inductively coupled plasma mass spectrometer (ICP-MS) is used to accurately measure the element content of a single mineral; Dissolution of single mineral and chemical purification and separation of metal elements were completed in ultra-clean laboratory, and the metal stable isotope of the separated and purified solution was analyzed by multi-receiver inductively coupled plasma mass spectrometer MC-ICP-MS. 14
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