A method for prospecting for a covered area sulfide type gold deposit

Abstract

This invention provides a prospecting method for sulfide-type gold deposits in covered areas, comprising the following steps: obtaining the geological characteristics of typical gold deposits and delineating areas with similar geological conditions to known typical gold deposits; obtaining gas geochemical measurement results from each detection point; performing first-dimensional and second-dimensional classification based on the gas geochemical measurement results from each detection point; classifying prospecting target areas by combining the first and second-dimensional classifications; and delineating prospecting target areas and verification sequences based on the prospecting target classification results. This method achieves precise quantitative assessment of the distribution of sulfur-bearing gases and the enrichment degree of gold through a two-dimensional classification system, and further achieves precise classification of prospecting target areas through multi-dimensional combinations. This system effectively filters out the risk of misjudgment from single abnormal indicators, ensuring a high degree of matching between target area classification and the probability and scale of gold deposit existence, significantly improving the scientific nature of prospecting decisions and the success rate of target area verification.

Description

Technical Field

[0001] This invention relates to the field of mineral exploration technology, and in particular to a method for prospecting sulfide-type gold deposits in covered areas. Background Technology

[0002] As surface and shallow mineral exploration becomes increasingly difficult, the likelihood of finding new shallow mineral deposits is decreasing. Consequently, the global mineral exploration strategy has shifted from shallow to deep-seated areas, particularly overburdened areas. Recent years have seen numerous breakthroughs in mineral exploration within overburdened areas both domestically and internationally, demonstrating the immense potential and space for mineral resource exploration beneath overburden in certain important metallogenic belts. However, overburdened areas typically refer to regions extensively covered by Quaternary loose deposits. Most of these thick overburdens are non-local, exogenous deposits of alluvial, diluvial, glacial, and aeolian origins, ranging in thickness from tens of centimeters to hundreds of meters. They are usually not genetically related to or geochemically inherited from the underlying bedrock and are often covered by vast expanses of grassland, crops, or forests, significantly limiting mineral exploration efforts.

[0003] Traditional geochemical exploration methods have achieved remarkable success in mineral exploration in shallow overburden areas or areas with exposed bedrock. However, they have become increasingly limited in thick overburden areas, especially with exogenous deposits (which lack geochemical inheritance from the underlying bedrock). In recent years, deep-penetration geochemistry has seen a gradual increase in research, with more successful applications in sulfide-type metallic mineral exploration. However, different deep-penetration geochemical methods have their own prerequisites and conditions, and the geological targets reflected by their anomalies differ. This means that a single deep-penetration geochemical method still exhibits a degree of ambiguity and uncertainty in the geological interpretation of corresponding anomalies.

[0004] Therefore, there is an urgent need for a method that combines multiple deep-penetrating geochemical methods to provide rapid evaluation and location for mineral exploration. Summary of the Invention

[0005] This invention provides a prospecting method for sulfide-type gold deposits in covered areas, which solves the problems of multiple solutions and uncertainties in existing single deep-penetration geochemical methods.

[0006] This invention provides a method for prospecting sulfide-type gold deposits in covered areas, comprising the following steps:

[0007] S1. Obtain the geological characteristics of known typical gold deposits within the target area, and delineate areas within the target area with the same geological conditions as known typical gold deposits as favorable prospecting areas;

[0008] S2. Using known sulfide-type metal deposits within the target area and their surrounding favorable prospecting areas as gold ore pre-selection areas, obtain gas geochemical measurement results at each detection point in the gold ore pre-selection area, and obtain information on the content of sulfur-containing gases and the distribution of gold elements or associated elements at each detection point.

[0009] S3. Based on the distribution information of sulfur-containing gases at each detection point, the gold mine pre-selection area is classified in the first dimension; within each gold mine pre-selection area that has completed the first dimension classification, the gold mine pre-selection area is classified in the second dimension based on the distribution information of gold elements or associated elements of gold.

[0010] S4. Classify prospecting targets in the gold mine pre-selection area by combining the first and second dimension classifications.

[0011] S5. Delineate the prospecting target areas and verification sequence based on the prospecting target grading results.

[0012] According to the prospecting method for sulfide-type gold deposits in covered areas provided by the present invention, the first-dimensional classification of the gold deposit pre-selection area based on the distribution information of sulfur-bearing gases at each detection point includes:

[0013] S31. Obtain the background value of sulfur-containing gas in the target area, and determine the situation where the content of sulfur-containing gas is higher than the background value as a positive sulfide anomaly. Divide the intensity of sulfide anomaly in the target area according to the content of sulfur-containing gas.

[0014] S32. Divide the sulfide scale of the target area according to the distribution of positive anomaly detection points;

[0015] S33. Based on the spatial overlap between the abnormal intensity and scale of sulfides, the concealment level of sulfides in the target area is classified.

[0016] The second-dimensional classification of gold ore pre-selection areas, based on the distribution information of gold elements or associated elements within each pre-selection area after the first-dimensional classification has been completed, includes:

[0017] S34. Obtain the background value of gold element or associated gold element in the target area. When the content of gold element or associated gold element is greater than the corresponding background value, it is determined to be a positive gold anomaly. The intensity of gold anomaly in the target area is divided according to the content of gold element or associated gold element.

[0018] S35. Divide the scale of the positive anomaly in the target area according to the distribution of the positive anomaly detection points;

[0019] S36. Based on the spatial correlation between the intensity of gold anomalies and the scale of positive gold anomalies, the concealment level of gold elements in the target area is classified.

[0020] According to the prospecting method for sulfide-type gold deposits in covered areas provided by the present invention, the concealment level of the sulfides includes, in descending order of the probability and scale of the presence of the sulfides, the following: Level III sulfide distribution area, Level II sulfide distribution area, and Level I sulfide distribution area.

[0021] The gold element concealment levels are classified into three categories based on the probability of gold deposits and their scale, from largest to smallest: Level III gold enrichment zone, Level II gold enrichment zone, and Level I gold enrichment zone.

[0022] According to the prospecting method for sulfide-type gold deposits in covered areas provided by the present invention, the step of classifying prospecting targets in the gold deposit pre-selection area by comprehensively classifying the first and second dimensions includes:

[0023] If at least one level III exists in the first or second dimension, and there is no level I, then it is determined to be a level A target area.

[0024] If both the first and second dimensions are level II, or one dimension is level III and the other is level I, then it is determined to be a level B target area.

[0025] When both the first and second dimensions are at level I, or one dimension is at level II and the other is at level I, the target area is classified as a level C target area.

[0026] According to the prospecting method for sulfide-type gold deposits in the covered area provided by the present invention, the prospecting target area and the verification sequence are delineated based on the prospecting target area classification results, including: delineating the range of Class A, Class B and Class C target areas respectively in the prospecting favorable area, and verifying them in the order of Class A, Class B and Class C target areas.

[0027] According to the prospecting method for sulfide-type gold deposits in covered areas provided by the present invention, the step of classifying the concealment level of sulfides in the target area based on the spatial overlap relationship between sulfide anomaly intensity and sulfide scale includes:

[0028] The large-scale sulfide and strong sulfide anomaly overlap area is classified as a Class III sulfide distribution area;

[0029] The area with medium-sized sulfide deposits and medium-positive anomaly overlap is classified as a Class II sulfide distribution area;

[0030] The area with small-scale sulfide distribution and weak positive anomalies is classified as a Class I sulfide distribution area.

[0031] According to the prospecting method for sulfide-type gold deposits in covered areas provided by the present invention, the sulfur-containing gases include SO2 and H2S, and the method of classifying the sulfide anomaly intensity of the target area based on the content of sulfur-containing gases includes:

[0032] When K1 < X1 ≤ 2K1 or K2 < X2 ≤ 2K2, it is determined as a weak positive anomaly of sulfide;

[0033] When 2K1 < X1 ≤ 4K1 or 2K2 < X2 ≤ 4K2, it is determined as a medium positive anomaly of sulfide;

[0034] When 4K1 < X1 or 4K2 < X2, it is determined as a strong anomaly of sulfide;

[0035] Where K1 is the background value of the SO2 content, K2 is the background value of the H2S content, X1 is the actual SO¬2 content of the measured detection point, and X2 is the actual H2S content of the measured detection point;

[0036] The determination of the sulfide scale in the target area according to the distribution of the sulfide positive anomaly detection points includes:

[0037] When n ≤ 2, it is determined as a small-scale sulfide;

[0038] When 2 < n ≤ 5, it is determined as a medium-scale sulfide;

[0039] When n > 5, it is determined as a large-scale sulfide;

[0040] Where n is the number of consecutive sulfide positive anomaly detection points.

[0041] According to the prospecting method for sulfide-type gold deposits in the covered area provided by the present invention, the division of the concealed grade of gold elements in the target area according to the spatial coincidence relationship between the gold anomaly intensity and the gold positive anomaly scale includes:

[0042] The coincidence area of large-scale gold and strong gold anomaly is divided into the III-level gold material enrichment area;

[0043] The coincidence area of medium-scale gold and medium positive gold anomaly is divided into the II-level gold material enrichment area; [[ID=3I]]

[0044] The coincidence area of small-scale gold and weak positive gold anomaly is divided into the I-level gold material enrichment area.

[0045] According to the prospecting method for sulfide-type gold deposits in the covered area provided by the present invention, the division of the gold anomaly intensity in the target area by the content of gold elements or associated elements of gold includes:

[0046] When G < Y ≤ 2G, it is determined as a weak positive anomaly of gold;

[0047] When 2G < Y ≤ 4G, it is determined as a medium positive anomaly of gold;

[0048] When 4G < Y, it is determined as a strong anomaly of gold;

[0049] Where G is the background value of gold elements, and Y is the actual gold element content of the measured detection point;

[0050] Alternatively, G is the background value of the associated elements of gold, and Y is the content of the actually measured associated elements of gold at the detection point.

[0051] The method for dividing the scale of the positive gold anomaly in the target area according to the distribution of the positive gold anomaly detection points includes:

[0052] When N ≤ 2, it is determined as a small-scale gold;

[0053] When 2 < N ≤ 5, it is determined as a medium-scale gold;

[0054] When N > 5, it is determined as a large-scale gold;

[0055] Where N is the number of consecutive positive gold anomaly detection points.

[0056] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the prospecting method for sulfide-type gold mines in the coverage area.

[0057] The beneficial effects of the present invention are as follows:

[0058] 1. Through a two-dimensional grading system, a precise quantitative evaluation of the distribution of sulfur-containing gases and the enrichment degree of gold substances is realized. Grading is carried out from two core dimensions of the mineralization carrier (sulfide) and the target mineral (gold), and then precise grading of the prospecting target area is achieved through multi-dimensional combination. This system effectively filters the misjudgment risk of single anomaly indicators, making the target area grade highly matched with the probability and scale of the existence of gold mines, and significantly improving the scientific nature of prospecting decisions and the success rate of target area verification.

[0059] 2. By integrating the core information of the sulfide anomaly intensity and scale, a hierarchical evaluation of the hidden potential of sulfides is realized, making the mineralization potential differences in different regions intuitive. The misjudgment risk brought by single anomaly indicators is effectively filtered (for example, neither small-scale strong anomalies nor large-scale weak anomalies are determined as high grades), improving the reliability of identifying hidden sulfides.

[0060] 3. Through spatial overlay analysis of the anomaly intensity and scale of gold elements, the pertinence of gold ore prospecting is improved. A hierarchical evaluation of the gold mineralization potential is realized, making the prospecting value differences in different regions clear, providing a direct basis for subsequent target area screening. At the same time, it forms a complement with the first-dimensional sulfide hidden level, providing complete two-dimensional data support for the comprehensive grading of the target area. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 is a schematic flow chart of the present invention.

[0062] Figure 2 is a schematic flow chart of step S3 of the present invention.

[0063] Figure 3 This is a distribution map of gold mines in Jinshan area of ​​Jiangxi Province, which is a specific embodiment of the present invention. Detailed Implementation

[0064] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0065] The terms "first" and "second" in the specification and claims of this invention may explicitly or implicitly include one or more of those features. In the description of this invention, unless otherwise stated, "a plurality of" means two or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0066] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0067] The following is combined with Figures 1-2 A prospecting method for sulfide-type gold deposits in a covered area, as described in this invention, includes the following steps:

[0068] S1. Obtain the geological characteristics of known typical gold deposits within the target area, and delineate areas within the target area with the same geological conditions as known typical gold deposits as favorable prospecting areas;

[0069] Specifically, based on a comprehensive analysis of the geological, mineral, geophysical, and geochemical survey results already obtained in the work area, a systematic investigation of the natural geographical situation will be conducted, particularly clarifying the thickness of the Quaternary overburden, soil types, moisture content, and vegetation development. With a focus on clarifying key mineralization geological issues, the investigation will concentrate on regional metallogenic regularities and identify ore-controlling elements. Existing geological survey reports, mineral exploration data, and geophysical and geochemical results will be collected to analyze the metallogenic geological characteristics of known typical gold deposits, including stratigraphy, structure, and magmatic rock conditions. Through geological mapping and remote sensing interpretation, areas within the target region that share the same stratigraphy, structure, and magmatic rock conditions as known typical gold deposits will be delineated as favorable prospecting areas. Focus will be placed on the deep and peripheral parts of known gold deposits, particularly on strike extensions and dip extensions, with particular attention paid to the spatial matching of structures at different scales and sequences.

[0070] S2. Using known sulfide-type metal deposits within the target area and their surrounding favorable prospecting areas as gold ore pre-selection areas, obtain gas geochemical measurement results at each detection point in the gold ore pre-selection area to obtain information on the content of sulfur-containing gases and the distribution of gold elements or associated elements at each detection point.

[0071] Specifically, the distribution information includes content data and spatial distribution characteristics, designating promising prospecting areas and the surrounding areas of known sulfide-type metal deposits as gold pre-selection zones. A survey network was deployed, with multiple detection points evenly distributed within the pre-selection zones. A portable multi-component gas rapid analyzer (PMGRA) was used for gas geochemical measurements to obtain the distribution information of sulfur-containing gases at each detection point. Simultaneously, geothermal nanoparticle measurements were conducted to obtain the distribution information of gold or gold-associated elements.

[0072] Specifically, the method for detecting sulfur-containing gas content is an active field sampling method. First, a hole approximately 2-3 cm in diameter and 70-100 cm deep is drilled at the sampling point using a steel rod. After removing the steel rod, a spiral sampler is quickly screwed into the hole until it is tightened, ensuring the sampler seals the hole. The gas is then extracted by a gas pump at a rate of 1 L / min and analyzed and measured using a portable multi-component gas rapid analyzer.

[0073] Specifically, gold or its associated elements (such as Cu, Pb, Zn, Ag, As, Sb, Mo, or W) are measured using soil-gas nanoparticles. The measurement process begins by drilling a hole approximately 2-3 cm in diameter and 70-100 cm deep in the overlying layer at the sampling point using a steel rod. After removing the rod, a specially designed soil gas positioning sampling rod is quickly inserted into the hole to a depth of at least 50 cm, and the hole is sealed with a movable rubber stopper to prevent air contamination. A micro-particle pump is then activated to create negative pressure, extracting gas from the soil. The extracted gas is then measured using the nanoparticle measuring instrument.

[0074] S3. Based on the distribution information of sulfur-containing gas at each detection point, the gold mine pre-selection area is classified in the first dimension. In each gold mine pre-selection area that has completed the first dimension classification, the gold mine pre-selection area is classified in the second dimension by the content of gold element or gold associated elements.

[0075] Specifically, a two-dimensional classification is implemented.

[0076] The first dimension of classification: within the pre-selected area, the intensity and scale of sulfide anomalies are calculated based on the measured distribution information of sulfur-containing gases at each detection point. Based on the intensity and scale of sulfide anomalies, different levels of sulfide distribution areas are divided.

[0077] The second dimension of classification: In different levels of sulfide distribution areas, the intensity of gold anomalies and the scale of positive gold anomalies of gold elements or associated gold elements are calculated based on the distribution information of gold elements or associated gold elements at each detection point. Different levels are then classified by combining the intensity of gold anomalies and the scale of positive gold anomalies of gold elements or associated gold elements.

[0078] S4. Based on the comprehensive first-dimensional and second-dimensional classification, the gold mine pre-selection area is classified into prospecting targets.

[0079] The dual-dimensional grading system enables precise quantitative assessment of sulfide distribution and gold enrichment, improving the targeting of mineral exploration.

[0080] S5. Delineate the prospecting target areas and verification sequence based on the prospecting target grading results.

[0081] Specifically, by combining the grading results of the first and second dimensions, the gold mine pre-selection area is classified into target areas, thereby delineating multiple mineral exploration target areas of different levels, clarifying the specific scope of each level of target area, and determining the drilling verification sequence according to the level of the mineral exploration target area.

[0082] By specifically delineating favorable mineral exploration areas, blind exploration is avoided, the exploration scope is significantly narrowed, and exploration costs are reduced. A two-dimensional grading system enables precise quantitative assessment of sulfide distribution and gold enrichment, improving the targeting and accuracy of mineral exploration and solving the core problems of multiple interpretations and uncertainties in anomaly interpretation using single deep-penetration geochemical methods. Through a clearly defined target area verification sequence, high-potential areas are prioritized, improving mineral exploration efficiency.

[0083] Furthermore, based on the distribution information of sulfur-containing gases at each detection point, the gold mine pre-selection area is classified in the first dimension, such as... Figure 2 As shown, it includes the following steps:

[0084] S31. Obtain the background value of sulfur-containing gas in the target area, determine the situation where the content of sulfur-containing gas is higher than the background value as a positive sulfide anomaly, and divide the sulfide anomaly intensity of the target area according to the content of sulfur-containing gas;

[0085] Specifically, the background value is the normal content level of sulfides in the target area in the non-mineral or non-anomaly area. Use traditional statistical methods (such as arithmetic mean method, median method combined with standard deviation analysis) to process the sulfide content data of all detection points. After removing extreme outliers, calculate the value that can reflect the regional natural geochemical benchmark as the background value. Obtain the sulfide anomaly situation of each detection point in the target area respectively. Define the situation where the content of sulfur-containing gas is higher than the background value as a positive sulfide anomaly, and the situation where the content of sulfur-containing gas is lower than the background value as a negative sulfide anomaly. Divide the sulfide anomaly intensity of the target area according to the content of sulfur-containing gas for all detection points with positive sulfide anomalies. The higher the sulfur-containing gas anomaly intensity, the greater the relative probability of sulfides existing under the overburden.

[0086] In a specific embodiment, the sulfur-containing gas includes SO2 and H2S, and the sulfide anomaly intensity is divided into three levels: weak positive sulfide anomaly, medium positive sulfide anomaly, and strong sulfide anomaly. Define K1 as the background value of SO2 content, K2 as the background value of H2S content, X1 as the actual SO2 content measured at the detection point, and X2 as the actual H2S content measured at the detection point. The division of sulfide anomaly intensity is specifically as follows:

[0087] When K1 < X1 ≤ 2K1 or K2 < X2 ≤ 2K2, it is determined as a weak positive sulfide anomaly;

[0088] When 2K1 < X1 ≤ 4K1 or 2K2 < X2 ≤ 4K2, it is determined as a medium positive sulfide anomaly;

[0089] When 4K1 < X1 or 4K2 < X2, it is determined as a strong sulfide anomaly;

[0090] In some other optional embodiments, the sulfide anomaly intensity can also be divided into multiple levels according to the content of sulfur-containing gas, and different multiples of the background value are selected as the evaluation criteria.

[0091] S32. Divide the sulfide scale of the target area according to the distribution of the detection points with positive sulfide anomalies;

[0092] Specifically, the migration of sulfur-containing gas has spatial continuity. The larger the scale of the deep buried sulfide ore body, the more the number of continuous positive anomaly detection points formed by its upward migration. Therefore, define the ore-forming scale of sulfides by counting the number of detection points with continuous positive sulfide anomalies.

[0093] In a specific embodiment, define n as the number of detection points of continuous sulfide positive anomalies, and divide the scale of sulfides into small-scale sulfides, medium-scale sulfides, and large-scale sulfides. Specifically:

[0094] When n ≤ 2, it is determined as small-scale sulfides;

[0095] When 2 < n ≤ 5, it is determined as medium-scale sulfides;

[0096] When n > 5, it is determined as large-scale sulfides.

[0097] In some other alternative embodiments, the scale of sulfides can also be divided into more than three levels according to the number of detection points of continuous sulfide positive anomalies, and different numbers of detection points of continuous sulfide positive anomalies are selected as the evaluation criteria.

[0098] S33. Divide the concealed level of sulfides in the target area according to the spatial coincidence relationship between the sulfide anomaly intensity and the sulfide scale;

[0099] Specifically, through the spatial coincidence of the sulfide anomaly intensity and the sulfide scale, the spatial superposition of the two is used to feedback the existence probability and scale of the deep concealed sulfide ore body, so as to reflect the mineralization potential of sulfides.

[0100] In a specific embodiment, the concealed level of sulfides is divided into three levels: the III-level sulfide distribution area, the II-level sulfide distribution area, and the I-level sulfide distribution area from large to small according to the existence probability and scale of sulfides. Among them, the area where large-scale sulfides and strong sulfide anomalies coincide is designated as the III-level sulfide distribution area;

[0101] The area where medium-scale sulfides and medium positive sulfide anomalies coincide is designated as the II-level sulfide distribution area;

[0102] The area where small-scale sulfides and weak positive sulfide anomalies coincide is designated as the I-level sulfide distribution area.

[0103] By integrating the core information of anomaly intensity and scale, a hierarchical evaluation of the concealed potential of sulfides is realized, making the mineralization potential differences in different regions intuitive. It effectively filters the misjudgment risk brought by a single anomaly index (such as small-scale strong anomalies or large-scale weak anomalies are not judged as high levels), and improves the reliability of identifying concealed sulfides.

[0104] In each gold ore preselection area that has completed the first-dimensional grading, conduct a second-dimensional grading of the gold ore preselection area based on the distribution information of gold elements or associated elements of gold, including:

[0105] S34. Obtain the background value of gold elements or associated elements of gold in the target area. When the content of gold elements or associated elements of gold is greater than the corresponding background value, it is determined as a positive gold anomaly, and the gold anomaly intensity of the target area is divided according to the content of gold elements or associated elements of gold;

[0106] Specifically, consistent with the method for obtaining the background value of sulfur-containing gases, traditional statistical methods are used to process the content data of gold elements (or their associated elements) measured by earth gas nano-metal particles, and a value reflecting the regional natural background is obtained. Since the content of gold nano-particles in earth gas is extremely low (10 -9 ~10 - ¹² level), the dispersion degree of the content data of gold nano-particles in earth gas is small. Therefore, the background value is used as the core anomaly threshold, and the traditional anomaly lower limit value is used as an auxiliary reference. When the content of gold elements or associated elements of gold is greater than the corresponding background value, it is determined as a positive gold anomaly; when the content of gold elements or associated elements of gold is less than the corresponding background value, it is determined as a negative gold anomaly. The gold elements (or associated elements) in deep buried gold ore bodies will migrate upward in the form of nano-particles. The higher the grade and the larger the scale of the ore body, the higher the content of nano-particles migrating to the shallow part. Therefore, the gold anomaly intensity of the target area is divided according to the content of gold elements or associated elements of gold.

[0107] In a specific embodiment, the anomaly intensity is defined by the multiple relationship between the measured content (Y) and the background value (G):

[0108] When G < Y ≤ 2G, it is determined as a weak positive gold anomaly;

[0109] When 2G < Y ≤ 4G, it is determined as a medium positive gold anomaly;

[0110] When 4G < Y, it is determined as a strong gold anomaly;

[0111] Where G is the background value of gold elements, and Y is the actual content of gold elements at the measured detection point;

[0112] Or G is the background value of associated elements of gold, and Y is the actual content of associated elements of gold at the measured detection point.

[0113] In view of the characteristics of low content and small dispersion of earth gas nano-metal particles, the anomaly determination logic is optimized, and the accuracy of anomaly identification for low-content elements is improved. The clear gold anomaly intensity level provides a core quantitative basis for the division of gold enrichment areas and accurately locks in the gold element enrichment areas.

[0114] S35. Divide the positive gold anomaly scale of the target area according to the distribution of positive gold anomaly detection points.

[0115] Specifically, the migration of gold element nanoparticles also has spatial continuity. The larger the scale of the deep gold ore body, the more the number of detection points of continuous positive gold anomalies formed by its upward migration. Therefore, the scale is defined by counting the number of detection points where continuous positive gold anomalies appear.

[0116] In a specific embodiment, define N as the number of detection points of continuous positive gold anomalies, then:

[0117] When N ≤ 2, the range of continuous anomalies is small, indicating a limited gold mineralization range, and it is determined as small-scale gold;

[0118] When 2 < N ≤ 5, the range of continuous anomalies is medium, corresponding to medium-scale gold mineralization, and it is determined as medium-scale gold;

[0119] When N > 5, the range of continuous anomalies is wide, indicating that there may be a large-scale gold ore body deep in the ground, and it is determined as large-scale gold.

[0120] S36. According to the spatial nesting relationship between the gold anomaly intensity and the scale of positive gold anomalies, the concealed grades of gold elements in the target area are divided.

[0121] Specifically, the spatial nesting relationship between the gold anomaly intensity and the scale of positive gold anomalies directly reflects the existence probability and scale of deep gold ore bodies. The grade (corresponding to the anomaly intensity) and range (corresponding to the anomaly scale) of the gold ore body jointly determine its prospecting value. The higher the synergy between the two, the greater the prospecting potential.

[0122] In a specific embodiment, the concealed grades of gold elements in the target area are divided from large to small into Class III gold material enrichment areas, Class II gold material enrichment areas, and Class I gold material enrichment areas, where:

[0123] When there is a large-scale gold and a strong gold anomaly nesting, it indicates that there is a large-scale and high-grade gold ore body deep in the ground, and the probability of the existence of gold ore is extremely high, and it is classified as a Class III gold material enrichment area;

[0124] When there is a medium-scale gold and a medium positive gold anomaly nesting, it corresponds to a medium-range and medium-grade gold ore body, and the probability of the existence of gold ore is relatively high, and it is classified as a Class II gold material enrichment area;

[0125] When there is a small-scale gold and a weak positive gold anomaly nesting, the gold mineralization range is small and the grade is low, and the probability of the existence of gold ore is small or the scale is small, and it is classified as a Class I gold material enrichment area.

[0126] Through spatial nesting analysis, low-value anomaly areas such as "high intensity and small scale" and "large scale and weak intensity" are effectively excluded, improving the pertinence of gold prospecting. The hierarchical evaluation of gold mineralization potential is realized, making the difference in prospecting value between different regions clear, providing a direct basis for subsequent target area screening. It forms a complement with the concealed grade of sulfides in the first dimension, providing complete two-dimensional data support for the comprehensive classification of target areas.

[0127] Specifically, background values ​​for SO2 and H2S in the region were calculated using traditional statistical methods. Detection points where the measured SO2 or H2S content was higher than the background value were identified as having a positive sulfide anomaly, while detection points where both SO2 and H2S content was lower than the background value were identified as having a negative sulfide anomaly.

[0128] Furthermore, the gold mine pre-selection area is classified into prospecting targets by combining the first-dimensional classification and the second-dimensional classification, including:

[0129] If at least one level III exists in the first or second dimension, and there is no level I, then it is determined to be a level A target area.

[0130] If both the first and second dimensions are level II, or one dimension is level III and the other is level I, then it is determined to be a level B target area.

[0131] When both the first and second dimensions are at level I, or one dimension is at level II and the other is at level I, the target area is classified as a level C target area.

[0132] Specifically, the Class A target area includes three cases: the overlap of the Class III sulfide distribution area and the Class III gold enrichment area, the overlap of the Class III sulfide distribution area and the Class II gold enrichment area, and the overlap of the Class II sulfide distribution area and the Class III gold enrichment area.

[0133] Class B target areas include three scenarios: the overlap of Class III sulfide distribution areas and Class I gold enrichment areas, the overlap of Class II sulfide distribution areas and Class II gold enrichment areas, and the overlap of Class I sulfide distribution areas and Class III gold enrichment areas.

[0134] Class C target areas include three scenarios: overlap between Class I sulfide distribution areas and Class I gold enrichment areas, overlap between Class I sulfide distribution areas and Class II gold enrichment areas, and overlap between Class II sulfide distribution areas and Class I gold enrichment areas.

[0135] High-level anomalies in a single dimension may lead to misjudgments (e.g., a distribution area of ​​only grade III sulfides may be a simple sulfide deposit rather than a gold deposit). Combining two dimensions can eliminate the ambiguity of a single anomaly and improve the credibility of the target area. The higher the degree of high-level matching between the first and second dimensions, the greater the probability of the existence and the larger the scale of the gold ore body. This establishes a clear and operable rule for determining the target area level, effectively integrating the classification results of the two dimensions, and providing a clear basis for target area classification. Through classification, the prospecting potential of different target areas can be quickly distinguished, providing a direct reference for prioritizing subsequent verification work, and significantly improving the planning and efficiency of prospecting work.

[0136] Furthermore, within the favorable mineral exploration areas, the scope of Class A, Class B, and Class C target areas were delineated respectively, and the verification order was Class A, Class B, and Class C target areas, respectively.

[0137] Specifically, based on the target area classification, the scope of each target area level is precisely delineated by combining factors such as anomaly distribution and geological structure. Drilling and other verification projects are organized in the order of "A-level priority, B-level second, and C-level last," and subsequent work arrangements are adjusted promptly based on the verification results. Precisely delineating the target area avoids blindly conducting verification work and reduces ineffective engineering work. Verification according to target area classification prioritizes high-potential areas, quickly discovers mineral resources, and improves the success rate of mineral exploration. Simultaneously, subsequent resources can be rationally allocated based on the verification results, optimizing the mineral exploration workflow and thus reducing exploration costs.

[0138] The present invention also discloses a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements a method for prospecting for sulfide-type gold deposits in covered areas.

[0139] To enable those skilled in the art to better understand the technical solution of this application, the implementation process of the entire UAV engine starting method of this application will be described in detail below with reference to specific embodiments.

[0140] Examples, such as Figure 3 As shown, the target area is the Jinshan area of ​​Jiangxi Province. This area is a typical covered area, mainly composed of alluvial and diluvial loose deposits. The underlying bedrock is the shallow metamorphic clastic rock of the Shuangqiaoshan Group in the Middle Proterozoic. The region has developed NE-trending fault structures, which provide favorable conditions for the mineralization of sulfide-type gold deposits.

[0141] A prospecting method for sulfide-type gold deposits in covered areas includes the following steps:

[0142] S1. The system collects existing geological survey reports, mineral exploration reports, and geophysical and geochemical data in the Jinshan area of ​​Jiangxi Province to identify typical known sulfide-type gold deposits in the region. Figure 3 The mineralization geological characteristics of the actual engineering control demonstration area (in the project). Based on the principle of similarity and analogy, areas within the region that have the same strata, structures, and magmatic rock conditions as known typical gold deposits are delineated. Focusing on the deep edges of known gold deposits and the extension of fault zones and dip extensions, favorable prospecting areas are identified.

[0143] S2. Select known sulfide-type gold ore bodies and their surrounding favorable prospecting areas as gold ore pre-selection areas. Within the gold ore pre-selection areas, use a survey network to set up detection points with a grid density of 200m×200m.

[0144] Using a Portable Multi-component Gas Rapid Analyzer (PMGRA), field measurements were carried out by the active pumping method. Steel rods were used to drill holes with a diameter of 2 cm and a depth of 80 cm at each detection point, and a spiral sampler was screwed in and sealed tightly; the gas passed through a filter and a dryer and then entered the analyzer. The pumping speed of the air pump was set at 1 L / min, and the contents of SO2 and H2S were measured in real time. The measuring range of SO2 was 0.001 - 3 ppm, and that of H2S was 0.001 - 1 ppm, with an accuracy of ≤ ±3% F.S. Based on the multi-component gas measurement, geogas nano-metal particle measurements were carried out for all detection points. After drilling holes with steel rods, a special gas sampling rod was drilled into the hole to a depth of more than 50 cm, and a rubber plug was used to seal the hole; a micro air pump was started to generate negative pressure for pumping air, and the gas passed through a filter and entered a washing device loaded with a special trapping agent. The pumping time for a single sample was 20 minutes, and the cumulative pumped gas volume was ≥ 20 L; the collected samples were sent to a laboratory with quality certification qualifications, and the content of Au element was detected by high-resolution inductively coupled plasma mass spectrometry (ICP-MS), with a detection limit of 10 -12 (ppt) level.

[0145] Summarize the SO2 content data X1, H2S content data X2, and Au element content data Y of all detection points to obtain the distribution information of sulfur-containing gases (SO2, H2S) and gold elements.

[0146] S31: Calculate the background values of the target area using traditional statistical methods: the SO2 background value K1 = 0.06 ppm, and the H2S background value K2 = 0.0085 ppm. The points with contents higher than the background values were determined as positive sulfide anomalies, and the points with contents lower than the background values were determined as negative sulfide anomalies.

[0147] Divide the intensity according to the multiple relationship between the content and the background value:

[0148] Weak positive sulfide anomaly: 0.06 ppm < X1 ≤ 0.12 ppm or 0.0085 ppm < X2 ≤ 0.017 ppm;

[0149] Moderate positive sulfide anomaly: 0.12 ppm < X1 ≤ 0.24 ppm or 0.017 ppm < X2 ≤ 0.034 ppm;

[0150] Strong sulfide anomaly: X1 > 0.24 ppm, X2 > 0.034 ppm.

[0151] S32: Count the number n of detection points with continuous positive sulfide anomalies and divide the scale level;

[0152] Small-scale sulfide: n ≤ 2;

[0153] Medium-scale sulfide: 2 < n ≤ 5;

[0154] Sulfide large scale: n > 5.

[0155] S33. Divide into three concealed levels according to the spatial nesting relationship between the sulfide anomaly intensity and scale, thereby completing the classification in the first dimension;

[0156] Level III sulfide distribution area: The nesting area of large-scale sulfide and strong sulfide anomaly, with a very high probability of sulfide existing under the overlying layer;

[0157] Level II sulfide distribution area: The nesting area of medium-scale sulfide and medium positive sulfide anomaly, with a relatively high probability of sulfide existing under the overlying layer;

[0158] Level I sulfide distribution area: The nesting area of small-scale sulfide and weak positive sulfide anomaly, with a relatively small probability or small scale of sulfide existing under the overlying layer.

[0159] S34. Analyze the Au element content data using traditional statistical methods, obtain the background value G = 0.6 ng / L, determine the points with content greater than the background value as positive Au anomalies, and determine the points with content less than the background value as negative Au anomalies. Divide the Au anomaly intensity of the target area according to the content of the Au element:

[0160] Weak positive Au anomaly: 0.6 ng / L < Y ≤ 1.2 ng / L;

[0161] Medium positive Au anomaly: 1.2 ng / L < Y ≤ 2.4 ng / L;

[0162] Strong positive Au anomaly: Y > 2.4 ng / L.

[0163] S35. Divide the positive Au anomaly scale of the target area according to the distribution of the detected points of positive Au anomalies;

[0164] When N ≤ 2, it is determined as small-scale Au;

[0165] When 2 < N ≤ 5, it is determined as medium-scale Au;

[0166] When N > 5, it is determined as large-scale Au.

[0167] Where N is the number of detected points of continuous positive Au anomalies.

[0168] S36. Divide into three concealed levels according to the spatial nesting relationship between the Au anomaly intensity and scale, thereby completing the classification in the second dimension;

[0169] Designate the nesting area of large-scale Au and strong positive Au as Level III Au material enrichment area;

[0170] Designate the nesting area of medium-scale Au and medium positive Au as Level II Au material enrichment area;

[0171] Small-scale gold-rich areas with weak positive gold anomalies are classified as Class I gold-rich areas.

[0172] S4. Classify prospecting targets in the gold mine pre-selection area by combining the first and second dimension classifications.

[0173] If at least one level III exists in the first or second dimension, and there is no level I, then it is determined to be a level A target area.

[0174] If both the first and second dimensions are level II, or one dimension is level III and the other is level I, then it is determined to be a level B target area.

[0175] When both the first and second dimensions are at level I, or one dimension is at level II and the other is at level I, the target area is classified as a level C target area.

[0176] S5. Based on the results of the mineral exploration target grading, delineate the mineral exploration target areas and the verification sequence. Within the favorable mineral exploration areas, delineate the ranges of Class A, Class B, and Class C target areas respectively, and verify them in the following order: Class A target area, Class B target area, and Class C target area.

[0177] like Figure 3 As shown, the icons indicate the actual engineering demonstration area, the verification target area, and the predicted target area.

[0178] The actual engineering demonstration area is a mined area that includes a Class B target area.

[0179] The verification target area on the left side of the actual engineering demonstration area contains the overlapping area of ​​sulfide negative anomaly and Class I gold enrichment area.

[0180] The predicted target area to the right of the actual engineering demonstration area includes a Class B target area.

[0181] The verification target area and the prediction target area were explored and verified separately. No gold deposits were found in the verification target area, while gold deposits with similar scale and quality to those in the actual engineering demonstration area were found in the prediction target area.

[0182] Where there is no conflict, the above embodiments and features described herein can be combined with each other.

[0183] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for prospecting sulfide-type gold deposits in covered areas, characterized in that, Includes the following steps: S1. Obtain the geological characteristics of known typical gold deposits within the target area, and delineate areas within the target area with the same geological conditions as known typical gold deposits as favorable prospecting areas; S2. Using known sulfide-type metal deposits within the target area and their surrounding favorable prospecting areas as gold ore pre-selection zones, gas geochemical measurement results are obtained at each detection point in the gold ore pre-selection zone. A portable multi-component gas rapid analyzer is used to obtain the distribution information of sulfur-containing gases at each detection point. The gold element or its associated elements in the extracted gas are measured by a nano-metal particle measuring instrument. The sulfur-containing gas content and the distribution information of gold element or gold associated elements at each detection point are obtained. S3. Based on the distribution information of sulfur-containing gas at each detection point, the gold mine pre-selection area is classified in the first dimension, including S31. Obtaining the background value of sulfur-containing gas in the target area, determining the situation where the content of sulfur-containing gas is higher than the background value as a positive anomaly of sulfides, and classifying the intensity of sulfide anomalies in the target area based on the content of sulfur-containing gas. S32. Divide the sulfide scale of the target area according to the distribution of positive anomaly detection points; S33. Based on the spatial overlap relationship between the abnormal intensity and scale of sulfides, the concealment level of sulfides in the target area is divided. The concealment level of sulfides is divided into three categories according to the probability of sulfide presence and scale, from large to small: Level III sulfide distribution area, Level II sulfide distribution area and Level I sulfide distribution area. In each gold mine pre-selection area that has completed the first dimension classification, the second dimension classification is carried out by the distribution information of gold element or gold associated element. This includes S34, obtaining the background value of gold element or gold associated element in the target area. When the content of gold element or gold associated element is greater than the corresponding background value, it is determined to be a positive gold anomaly. The intensity of gold anomaly in the target area is divided by the content of gold element or gold associated element. S35. Divide the scale of the positive anomaly in the target area according to the distribution of the positive anomaly detection points; S36. Based on the spatial correlation between the intensity of gold anomalies and the scale of positive gold anomalies, the concealment levels of gold elements in the target area are divided. The concealment levels of gold elements are divided into Class III gold enrichment areas, Class II gold enrichment areas and Class I gold enrichment areas, according to the probability of the existence of gold deposits and the scale from large to small. S4. The gold mine pre-selection area is classified into prospecting targets by combining the first dimension classification and the second dimension classification. When there is at least one level III in the first dimension or the second dimension and there is no level I, it is judged as a level A target area. If both the first and second dimensions are level II, or one dimension is level III and the other is level I, then it is determined to be a level B target area. When both the first and second dimensions are at level I, or one dimension is at level II and the other is at level I, the target area is classified as a level C target area. S5. Delineate the prospecting target areas and verification sequence based on the prospecting target grading results.

2. The prospecting method for sulfide-type gold deposits in covered areas according to claim 1, characterized in that, Based on the grading results of prospecting target areas, prospecting target areas are delineated and the verification order is determined, including: delineating the ranges of Class A target areas, Class B target areas, and Class C target areas respectively within the favorable prospecting areas, and the verification order is Class A target areas, Class B target areas, and Class C target areas in sequence.

3. The prospecting method for sulfide-type gold deposits in covered areas according to claim 1, characterized in that, The concealed grades of sulfides in the target area are divided according to the spatial superposition relationship between the sulfide anomaly intensity and the sulfide scale, including: The area with large-scale sulfides and strong sulfide anomalies superposed is delineated as the Class III sulfide distribution area; The area with medium-scale sulfides and medium positive sulfide anomalies superposed is delineated as the Class II sulfide distribution area; The area with small-scale sulfides and weak positive sulfide anomalies superposed is delineated as the Class I sulfide distribution area.

4. The prospecting method for sulfide-type gold deposits in covered areas according to claim 3, characterized in that, The sulfur-containing gases include SO2 and H2S. The sulfide anomaly intensity in the target area is divided according to the content of the sulfur-containing gases, including: When K1 < X1 ≤ 2K1 or K2 < X2 ≤ 2K2, it is determined as a weak positive sulfide anomaly; When 2K1 < X1 ≤ 4K1 or 2K2 < X2 ≤ 4K2, it is determined as a medium positive sulfide anomaly; When 4K1 < X1 or 4K2 < X2, it is determined as a strong sulfide anomaly; Where K1 is the background value of the SO2 content, K2 is the background value of the H2S content, X1 is the actual SO2 content measured at the detection point, and X2 is the actual H2S content measured at the detection point; The sulfide scale in the target area is determined according to the distribution of sulfide positive anomaly detection points, including: When n ≤ 2, it is determined as small-scale sulfides; When 2 < n ≤ 5, it is determined as medium-scale sulfides; When n > 5, it is determined as large-scale sulfides; Where n is the number of consecutive sulfide positive anomaly detection points.

5. The prospecting method for sulfide-type gold deposits in covered areas according to claim 1, characterized in that, The concealed grades of gold elements in the target area are divided according to the spatial superposition relationship between the gold anomaly intensity and the gold positive anomaly scale, including: The area with large-scale gold and strong gold anomalies superposed is delineated as the Class III gold material enrichment area; The area with medium-scale gold and medium positive gold anomalies superposed is delineated as the Class II gold material enrichment area; The area with small-scale gold and weak positive gold anomalies superposed is delineated as the Class I gold material enrichment area.

6. The prospecting method for sulfide-type gold deposits in the covered area according to claim 5, wherein The gold anomaly intensity in the target area is divided according to the content of gold elements or associated elements of gold, including: When G < Y ≤ 2G, it is determined as a weak positive gold anomaly; When 2G < Y ≤ 4G, it is determined as a medium positive gold anomaly; When 4G < Y, it is determined as a strong gold anomaly; Where G is the background value of gold elements, and Y is the actual gold element content measured at the detection point; Or G is the background value of the associated element of gold, and Y is the actual associated element content of gold measured at the detection point; The gold positive anomaly scale in the target area is divided according to the distribution of gold positive anomaly detection points, including: When N ≤ 2, it is determined as small-scale gold; When 2 < N ≤ 5, it is determined as medium-scale gold; When N > 5, it is determined as large-scale gold; Where N is the number of consecutive gold positive anomaly detection points.

7. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the prospecting method for sulfide-type gold deposits in the covered area according to any one of claims 1 to 6.

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