Basic-super basic region prospecting method

Abstract

The invention relates to the technical field of mineral resource exploration, in particular to a basic-super basic region prospecting method. The method comprises the following steps: determining test analysis elements, screening out a working area, high-resolution remote sensing data and an image extraction water system, drawing a water system distribution diagram, arranging sampling points of a primary water system or a micro-water system catchment water area, and collecting medium-coarse sand or rock debris samples according to a rock exposure condition and a weathering denudation degree; the method comprises the following steps: carrying out test analysis on collected samples, carrying out parameter statistics on results, determining main metallogenic elements and enrichment distribution characteristics of the main metallogenic elements, compiling geochemical measurement series maps, carrying out anomaly ranking, preferably delineating comprehensive anomalies, carrying out anomaly verification through scribed line chemical sample test and polished section identification, and finding out geologic bodies causing anomalies. And determining the scale and spatial distribution characteristics, and delineating a prospecting target area in combination with the metallogenic geological background of the working area. The mineral exploration range can be narrowed, the cost input is reduced, and the geological exploration efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of mineral resource exploration, and in particular to a method for prospecting in a basic-ultramassic zone. Background Art

[0002] In the basic-ultrabasic zone, the rocks are exposed on a small scale and mostly occur in vein form. The surface soil is covered with thick vegetation and has a low degree of weathering and erosion. The surface biomass is transported over a short distance by precipitation or gravity. If the exploration is carried out according to conventional geochemical measurement methods such as 1:50,000 stream sediment measurement, the exploration cycle will be long and the prospecting effect will not be obvious due to problems such as the large working area and the single sampling medium.

[0003] Therefore, there is an urgent need to develop a prospecting method for basic-ultramassic areas with high exploration efficiency and short exploration cycle, so as to carry out geochemical exploration work at low cost and high efficiency to select prospecting target areas and provide a basis for mineral exploration. Summary of the Invention

[0004] The purpose of the present invention is to provide a method for prospecting in basic-ultramafic areas, which can improve geological exploration efficiency, shorten the exploration period, optimize the prospecting target area, and provide a basis for mineral exploration.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A method for prospecting in a basic-ultramassic zone comprises the following steps:

[0007] 1) According to the small-scale metallogenic geological background of the exploration area, determine the test and analysis elements, screen out the working area with prospecting potential, use high-resolution remote sensing data and images to extract the water system, and draw a water system distribution map of the working area;

[0008] 2) Based on the distribution characteristics of the water system in the delineated water system distribution map, arrange sampling points that can cover the catchment area of the primary water system or micro-water system, and collect medium-coarse sand or rock debris samples based on the rock exposure and weathering and erosion degree in the catchment area;

[0009] 3) Test and analyze the collected samples, conduct parameter statistics based on the test and analysis results, determine the main mineralization elements and their enrichment distribution characteristics in the work area, compile a series of geochemical survey maps, conduct anomaly evaluation and sequence, and select and delineate comprehensive anomalies;

[0010] 4) For the comprehensive anomaly selected in step 3, conduct anomaly verification through line chemical sample testing and optical thin section identification to identify the geological body causing the anomaly, determine its scale and spatial distribution characteristics, and then, combined with the metallogenic geological background of the work area, delineate the prospecting target area.

[0011] Furthermore, in step 1), based on the geological mineral resources, geophysics, geochemistry and / or remote sensing mineralization geological background characteristics of the exploration area, the mineral species with mineralization potential are first determined, and then the test elements matching the potential mineral species are searched in the basic-ultramafic zone, the test analysis elements are determined, and then the areas with basic-ultramafic rock bodies or dykes are screened out as working areas.

[0012] Furthermore, in step 1), the water system distribution map of the work area is obtained by automatically extracting water systems using high-resolution remote sensing data using ArcGIS software, and then correcting and improving the extracted water systems based on the high-resolution remote sensing images.

[0013] Furthermore, in step 2), the first-level water system refers to the smallest level of water system classification based on hydrodynamics, the micro-water system is the terminal tributary or gully without obvious traces of water flow, and the catchment area is also called the "catchment basin", which is the watershed range of a certain water system. The sampling point layout is to select the best catchment location for sample point preset.

[0014] Rock exposure refers to the exposure of the bottom rock after the rock is covered by weathering products or soil, and the degree of weathering and erosion refers to the degree to which the surface rock is affected by weathering and erosion.

[0015] Furthermore, in step 2), the specific operation of laying out sampling points that can cover the first-level water system or micro-water system is as follows: on the basis of dividing the work area into 125m×125m basic unit grids, 1-2 sampling points are laid out in each unit grid, and the sampling point density is 16-32 points / km 2 ;

[0016] Medium-coarse sand or rock debris samples are collected based on the rock exposure and weathering and erosion degree in the catchment area. If there are medium-coarse sand materials in the catchment area controlled by the water system during the sampling process, medium-coarse sand samples are collected first. If there are no medium-coarse sand materials, rock debris samples are collected. Samples are collected in a multi-point combination method based on the water system type, and are fully sieved using a -10 mesh to +60 mesh stainless steel sieve.

[0017] Medium-coarse sand samples refer to medium-coarse-grained surface biomass deposited in the water system; rock debris samples refer to small pieces of rock or mineral fragments that fall off after rock weathering, and primary mineral debris; water system types include dendritic water systems, fan-shaped water systems, feather-shaped water systems, parallel water systems, lattice-shaped water systems, etc.

[0018] Furthermore, in step 2) and step 3), the method for testing and analyzing the collected samples is a combined testing method of X-ray fluorescence spectrometry + plasma mass spectrometry + atomic fluorescence spectrometry + emission spectrometry.

[0019] Furthermore, in step 3), parameter statistics are performed using GeoIPAS software to statistically analyze background values, characteristic parameters, R-type cluster analysis, factor analysis, spatiotemporal distribution characteristics, etc., to determine the main mineralizing elements in the working area and their enrichment distribution characteristics.

[0020] Furthermore, a series of geochemical survey maps were compiled, anomaly evaluation was carried out, and the method of delineating comprehensive anomaly areas was optimized: single element anomaly maps, geochemical maps, and combined anomaly maps were compiled using GeoIPAS and MAPGIS software systems. Then, comprehensive anomalies were circled based on the element combination characteristics and the degree of anomaly overlap. The number of abnormal points, peak values, mean values, average contrast, area, and scale of each element in the circled comprehensive anomaly were counted. Combined with the metallogenic geological background of the work area, the geological body properties and possible target mineral species that the anomaly may reflect were determined, and the main elements and associated elements of the comprehensive anomaly were determined. Finally, the evaluation index calculation method was used to calculate the evaluation index of each anomaly. The anomalies of the same type were ranked according to the high and low evaluation index of the anomaly of the same main element, and comprehensive anomalies with greater metallogenic potential were selected.

[0021] The formula for calculating the ranking index is: JOI = D × K × C;

[0022] JOI-ranking index, D-principal element size, K-average contrast of characteristic combination elements within the anomaly, C-correction coefficient).

[0023] Furthermore, the specific operation steps of step 4) are as follows: by tracing and inspecting the high-value points in the preferred comprehensive anomaly, special geological bodies are discovered in the anomaly area, and line chemical samples and optical thin section samples are used for testing and identification to clarify the mineralization of the special geological bodies, and determine the surface exposure characteristics and spatial extension of the mineralization geological bodies; combined with the metallogenic geological background of the working area, similar anomalies are comprehensively analyzed in the working area to delineate the prospecting target area.

[0024] Beneficial effects of the present invention:

[0025] 1. According to the regional small-scale metallogenic geological background, determine the test analysis elements and screen out the working areas with prospecting potential. Through analysis and screening, the test elements and working area scope are accurately determined, effectively reducing investment costs;

[0026] 2. Using high-resolution remote sensing data and images to extract micro-water systems, we mapped the water system distribution in the work area, improving the accuracy of water system mapping and the rationality of sample point layout;

[0027] 3. According to the rock exposure and weathering and erosion degree in the catchment area, medium-coarse sand or rock debris samples are collected to improve the representativeness of the samples;

[0028] 4. Scientific testing methods were used to test and analyze the collected samples, which reduced the testing costs. Parameter statistics were carried out based on the test and analysis results to determine the main ore-forming elements and their enrichment distribution characteristics in the working area, and to clarify the mineral exploration direction and main enrichment areas;

[0029] 5. Prepare a series of geochemical survey maps, conduct anomaly evaluation and sorting, select key comprehensive anomalies, and reduce the workload of anomaly verification;

[0030] 6. Through line chemical sample testing, optical thin section identification, etc., anomaly verification is carried out to effectively identify the geological body causing the anomaly, determine its scale and spatial distribution characteristics, and lay the foundation and basis for mineral exploration;

[0031] 7. Combined with the mineralization geological background of the work area, the prospecting target area is delineated and the scope of mineral exploration is narrowed to achieve the goal of improving geological exploration efficiency and shortening the exploration cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0033] Figure 1 The present invention is a flow chart of a method for prospecting in basic-ultramafic areas.

[0034] Figure 2 This is a high-resolution image of the micro-groove system in the working area of Example 1;

[0035] Figure 3 This is a schematic diagram of the water system distribution in the working area of Example 1;

[0036] Figure 4 This is a schematic diagram of the sample point layout in the Dagelegou area of the working area of Example 1;

[0037] Figure 5 This is a schematic diagram of multi-point combined sampling of "comb-shaped" and "feather-shaped" gullies in Example 1;

[0038] Figure 6 This is the pedigree diagram of the R-type cluster analysis of 23 elements in the working area of Example 1;

[0039] Figure 7 This is a graph showing the relative content changes of Cr, Co, Ni, and Cu elements in strata and rock masses of different ages in Example 1;

[0040] Figure 8This is a line sketch of Example 120KX; wherein, 1-granite; 2-pyroxenite; 3-limonite mineralization; 4-silicification; 5-micitization; 6-light and thin section sampling locations and numbers; 7-intrusive contact boundary; 8-gradient contact boundary; 9-occurrence; 10-line chemical sample sampling location and number; 11-niobium mineralization body; 12-niobium ore body;

[0041] Figure 9 This is a micrograph of the disseminated niobium (phosphate) ore in Example 1;

[0042] Figure 10 This is a schematic diagram of the distribution of mineralization prospective areas and prospecting target areas in Example 1: 1-nickel-cobalt mineralization point; 2-gold mineralization point; 3-niobium mineralization point; 4-copper mineralization point; 5-rare earth mineralization point; 6-fluorite mineralization point; 7-quartz vein; 8-comprehensive anomaly; 9-working area range; 10-comprehensive anomaly zoning boundary; 11-prospecting target area. DETAILED DESCRIPTION

[0043] The following is a clear and complete description of the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present invention.

[0044] Example 1

[0045] like Figure 1 As shown, taking the Dagelegou area in the eastern Kunlun Mountains as an example, a basic-ultramafic zone prospecting method and its prospecting effect are briefly described as follows.

[0046] The specific steps are as follows:

[0047] (1) According to the geological mineral resources, geophysics, geochemistry, remote sensing and other mineralization geological backgrounds at small and medium scales of 1:200,000 and 1:50,000 in the region, it is determined that the region will be classified as the Bokalik-Xiangrid Au-Pb-Zn-Mo-graphite-fluorite (Cu, rare, rare earth) mineralization sub-belt, with the main targets of gold, rare earth ores, and copper-nickel, tungsten-tin, copper-lead-zinc polymetallic ores, and the main targets of magmatic hydrothermal rare earth ores, magmatic melt rare earth ores, etc. The Dagelegou area, which is home to the types of copper-nickel deposits, tungsten-tin deposits related to magmatic hydrothermal fluids, and porphyry-skarn copper-lead-zinc polymetallic deposits, is selected as the working area. Basic-ultramassic rock bodies and dykes are developed in this area. Comprehensive analysis has determined that Au, As, Sb, Hg, Ag, Cu, Pb, Zn, W, Sn, Mo, Bi, Co, Cr, Ni, Li, Be, U, Nb, Y, La, Zr, and F are the test analysis elements.

[0048] ArcGIS software was used to automatically extract water systems using high-resolution remote sensing data ( Figure 2 ), and then correct and improve the extracted water system based on high-resolution remote sensing images to draw a water system distribution map of the work area ( Figure 3 ).

[0049] (2) Based on the distribution characteristics of the water system in the drawn water system distribution map, the work area is divided into 125m×125m basic unit cells, and 1-2 sampling points are arranged in each unit cell, with a sampling point density of 16-32 points / km per square kilometer. 2 ; Select the best catchment location in the primary water system or micro-water system for sample point preset ( Figure 4 ), GeoIPAS and MAPGIS software were used to compile a sampling point layout map for the work area; 8,437 sampling points were laid out in the Dagelegou area, including 86 replicates, with a point density of 20.6 / km 2 .

[0050] According to the rock exposure and weathering erosion degree in the catchment area, and according to the types of water systems such as dendritic water system, fan-shaped water system, feather-shaped water system, parallel water system, and grid-shaped water system, if there are medium-coarse sand materials in the catchment area controlled by the water system during the sampling process, medium-coarse sand samples should be collected first. If there are no medium-coarse sand materials, rock chip samples should be collected. A multi-point combination method ( Figure 5 ) was fully sieved using a stainless steel sieve with a mesh size of -10 to +60 to collect samples of primary mineral debris, including medium-coarse surface biomass deposited in the water system or small rocks or mineral fragments that fell off after rock weathering. The actual sampling area in the Dagelegou area was approximately 374.8 km 2 , 7599 sampling points were actually collected, including 79 repeated sampling points, and a total of 7678 samples were collected and analyzed, with an average sampling density of 20.3 points / km 2 During the construction process, due to the steep terrain, dense ridges, large relative height difference, and steep ridges, personnel could not pass through. 2 Discard the sample.

[0051] 3) Select analytical methods that meet the requirements of detection limit, reporting rate, accuracy, precision, etc. for each element, and give priority to analytical methods with good quality parameters, high efficiency, low cost, and supporting solutions that can simultaneously determine multiple elements in the same analytical process for testing and analysis of collected samples;

[0052] For example: There are a total of 7,678 samples in this project; the test items are: 23 elements including Au, As, Sb, Hg, Ag, Cu, F, Pb, Zn, W, Sn, Mo, Bi, U, Co, Cr, Ni, Li, Be, Zr, Nb, Y, and La; 84 level I standard samples for accuracy control and 332 level I monitoring samples for precision control were inserted during the analysis process; 23 elements were analyzed using X-ray fluorescence spectrometry (XRF) and inductively coupled plasma mass spectrometry (ICP-MS) as the main methods, and atomic fluorescence analysis (AFS) and emission spectrometry (ES) as auxiliary methods, and the detection limits of these methods all meet or exceed the requirements of geochemical exploration test specifications.

[0053] GeoIPAS software was used to analyze the background value, characteristic parameter statistics (Table 1), R-type cluster analysis ( Figure 6 ), factor analysis (Table 2), spatiotemporal distribution characteristics ( Figure 7 ) and other parameters, it was determined that the main mineralization elements in the working area are Nb, Ni, Co, Cu, and La. The element enrichment characteristics show that the CrCoNiCu combination anomaly is mainly distributed in the middle of Dagelegou and the west side of the east ditch of Dashuigou, which is strictly consistent with the outcrop position of basic-ultramafic dykes or rock bodies; the FBeNbYUSnPb combination anomaly is distributed in the southern part of the working area, corresponding to the surface outcrop of Middle Devonian syenite granite, and the LaZr combination anomaly is mainly distributed in the central part of the working area, where the surface outcrops are Middle Devonian syenite and Early Devonian tonalite. Therefore, the element combination of the working area is determined as follows: ①CrCoNiCu is a basic-ultramafic element combination, ②FBeNbYUSnPb is an element combination related to Middle Devonian syenite granite (highly fractionated rock body), ③WBi is a medium-high temperature hydrothermal element combination, and ④LaZr is a rare rare earth element combination of alkaline granite.

[0054] 23 single element anomaly maps, 23 geochemical maps, and combined anomaly maps compiled using GeoIPAS and MAPGIS software Figure 3 open;

[0055] First, according to the element combination characteristics and the degree of abnormal fit, 102 grass circles were integrated and the number of abnormal points, peak value, mean value, average contrast, area, scale and other parameters of each element in the grass circle were counted (one of the integrated abnormal (CuMoCoAuNiAsZnCr) characteristic value table is shown in Table 3);

[0056] Then, combined with the mineralization geological background of the working area, it is determined that the anomaly may reflect the nature of the geological body and the possible target mineral species, and the main elements and associated elements of the comprehensive anomaly are determined; for example, the GA23 anomaly, the main element is Nb, and the associated elements are Cu, Mo, Co, Au, Ni, As, Zn, and Cr.

[0057] Finally, the JOI calculation method (JOI = D × K × C; D is the main element scale, K is the average contrast of the characteristic combination elements within the anomaly, and C is the correction coefficient) was used to calculate the JOI of each anomaly. The anomalies of the same main element were ranked according to their JOI index (Table 4 is the Ni element anomaly ranking table), and comprehensive anomalies such as GA23, GA12, GA15, and GA16 with greater mineralization potential were selected.

[0058] (4) Through the pursuit and inspection of the high-value points in the selected comprehensive anomaly, special geological bodies were found in the anomaly area. The line chemical samples and thin-section samples were collected for testing and identification to clarify the mineralization of the special geological body and determine the surface exposure characteristics and spatial extension of the mineralized geological body. The surface of the GA23 anomaly area mainly exposed gabbro rock bodies. The rock types mainly include gabbro and pyroxenite, interspersed with granodiorite veins. The structure is relatively developed. Limonite and pyrite mineralization are mostly developed in the structural belt. Line chemical samples (20KX) ( Figure 8 ), Nb2O5 content is between 0.016-0.127%. Thin section test shows that the mineralized rock type is alkaline ultrabasic rock with a relatively complex mineral composition. In addition to olivine, orthopyroxene, serpentine, phlogopite, hornblende, dolomite, calcite and other gangue minerals, the ore minerals mainly include niobate, pyrochlore, ilmenite, magnetite and apatite. ( Figure 9 ), the natural type of the ore is primary niobium ore, and the genetic type is alkaline rock-carbonate rock type niobium ore.

[0059] Later, combined with the distribution range of Nb, Mo, Cu, Ni, La anomaly areas and ultrabasic rock areas such as pyroxenite, the prospecting target area with nickel polymetallic deposits and rare metal deposits was identified ( Figure 10 ) and submitted a project approval application to carry out exposure engineering on the discovered niobium, nickel-cobalt and rare earth mineral deposits, verify and trace the mineral (ization) bodies. As the level of work improves, the mineral-bearing geological bodies in the area are clarified, the mineral-bearing geological bodies are exposed and controlled, and the scale of prospecting is expanded; the scope of mineral exploration is narrowed, and the cost investment is reduced, so as to achieve the purpose of improving geological exploration efficiency and shortening exploration cycle.

[0060] Table 1 Statistics of background characteristic parameters of workspace elements

[0061]

[0062]

[0063] Table 2 Main factor characteristic roots and structural formulas

[0064]

[0065] Table 3 (CuMoCoAuNiAsZnCr) characteristic value table

[0066]

[0067] Table 4 Ni element abnormality evaluation table (ωB / 10-6)

[0068]

[0069] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for prospecting in basic-ultrabasic areas, characterized in that: The steps include: 1) According to the small-scale metallogenic geological background of the exploration area, determine the test and analysis elements, screen out the working area with prospecting potential, use high-resolution remote sensing data and images to extract the water system, and draw a water system distribution map of the working area; 2) Based on the distribution characteristics of the water system in the delineated water system distribution map, arrange sampling points that can cover the catchment area of the primary water system or micro-water system, and collect medium-coarse sand or rock debris samples based on the rock exposure and weathering and erosion degree in the catchment area; 3) Test and analyze the collected samples, conduct parameter statistics based on the test and analysis results, determine the main mineralization elements and their enrichment distribution characteristics in the work area, compile a series of geochemical survey maps, conduct anomaly evaluation and sequence, and select and delineate comprehensive anomalies; 4) For the comprehensive anomaly selected in step 3, conduct anomaly verification through line chemical sample testing and optical thin section identification to identify the geological body causing the anomaly, determine its scale and spatial distribution characteristics, and then, combined with the metallogenic geological background of the work area, delineate the prospecting target area.

2. A method for prospecting in a basic-ultramassic zone according to claim 1, characterized in that: In the step 1), based on the geological mineral resources, geophysics, geochemistry and / or remote sensing mineralization geological background characteristics of the exploration area, the mineral species with mineralization potential are first determined, and then the test elements matching the potential mineral species are searched in the basic-ultramafic zone, the test analysis elements are determined, and then the areas with basic-ultramafic rock bodies or dykes are screened as working areas.

3. A method for prospecting in a basic-ultramafic zone according to claim 1, characterized in that: In the step 1), the water system distribution map of the work area is obtained by automatically extracting water systems using high-resolution remote sensing data using ArcGIS software, and then correcting and improving the extracted water systems based on the high-resolution remote sensing images.

4. A method for prospecting in a basic-ultramassic zone according to claim 1, characterized in that: In step 2), the specific operation of laying out sampling points that can cover the first-level water system or micro-water system is as follows: on the basis of dividing the work area into 125m×125m basic unit grids, 1-2 sampling points are laid out in each unit grid, and the sampling point density is 16-32 points / km 2 ; Medium-coarse sand or rock debris samples are collected based on the rock exposure and weathering and erosion degree in the catchment area. If there are medium-coarse sand materials in the catchment area controlled by the water system during the sampling process, medium-coarse sand samples are collected first. If there are no medium-coarse sand materials, rock debris samples are collected. Samples are collected in a multi-point combination method based on the water system type, and are fully sieved using a -10 mesh to +60 mesh stainless steel sieve.

5. A method for prospecting in a basic-ultramassic zone according to claim 1, characterized in that: In step 2) and step 3), the method for testing and analyzing the collected samples is a combined testing method of X-ray fluorescence spectrometry + plasma mass spectrometry + atomic fluorescence spectrometry + emission spectrometry.

6. A method for prospecting in a basic-ultramafic zone according to claim 1, characterized in that: In the step 3), the parameter statistics are performed using GeoIPAS software to statistically analyze the background values, characteristic parameters, R-type cluster analysis, factor analysis, spatiotemporal distribution characteristics, etc. to determine the main mineralization elements in the working area and their enrichment distribution characteristics.

7. A method for prospecting in a basic-ultramafic zone according to claim 1, characterized in that: Compile a series of geochemical survey maps, conduct anomaly evaluation, and select the method for delineating comprehensive anomaly areas: Use GeoIPAS and MAPGIS software systems to compile single-element anomaly maps, geochemical maps, and combined anomaly maps. Then, circle comprehensive anomalies based on the element combination characteristics and the degree of anomaly overlap. Count the number of abnormal points, peak values, mean values, average contrast, area, and scale of each element within the circle. Combined with the metallogenic geological background of the work area, determine the nature of the geological body that the anomaly may reflect, the possible target mineral species, and determine the main elements and associated elements of the comprehensive anomaly. Finally, use the evaluation index calculation method to calculate the evaluation index of each anomaly. Rank the anomalies according to the high and low evaluation index of the same main element anomaly, and select the comprehensive anomaly with greater metallogenic potential. The formula for calculating the ranking index is: JOI = D × K × C; JOI-ranking index, D-principal element size, K-average contrast of characteristic combination elements within the anomaly, C-correction coefficient).

8. A method for prospecting in a basic-ultramassic zone according to claim 1, characterized in that: The specific operation steps of step 4) are as follows: by tracing and inspecting the high-value points in the preferred comprehensive anomaly, a special geological body is discovered in the anomaly area, and line chemical samples and optical thin section samples are used for testing and identification to clarify the mineralization of the special geological body, and determine the surface exposure characteristics and spatial extension of the mineralization geological body; combined with the metallogenic geological background of the working area, a comprehensive analysis of similar anomalies in the working area is conducted to delineate the prospecting target area.

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