A method for prospecting carbonate rock type lead-zinc ore

Abstract

The present invention relates to the technical field of mineral exploration, and discloses a prospecting method for carbonate rock type lead-zinc ore. The geological characteristics of the current area are collected, and a geological characteristic database is constructed, the geological characteristics of the historically mined carbonate rock type lead-zinc ore are collected, the physical characteristics of the current area are collected, and a physical characteristic database is constructed, and a historical geological characteristic database is constructed. The method is based on the formation thickness storage value, the magnetic field strength storage value and the fault zone strike angle storage value and the formation thickness, magnetic field strength and the fault zone strike angle. The method calculates each difference value, calculates the geological similarity coefficient, and makes a preliminary judgment on it. If the preliminary judgment is passed, the resistivity difference and self-potential anomaly difference of several sub-areas are calculated, and the mineral yield rate is output. At this time, it can be guaranteed that the preliminary exploration is carried out before the large-scale mining equipment is operated, thereby ensuring the high efficiency of prospecting for carbonate rock type lead-zinc ore.

Description

Technical Field

[0001] The invention relates to the technical field of mineral exploration, in particular to a method for prospecting carbonate rock type lead-zinc mines. Background Art

[0002] Epigenetic hydrothermal lead-zinc deposits with carbonate rocks as ore-bearing rocks, namely carbonate-type lead-zinc deposits, are one of the most important types of lead-zinc deposits in the world. Their lead-zinc resources account for about 16% of the world's total lead-zinc resources. They are one of the main sources of key mineral resources such as germanium and have long been valued by the international mineral deposit community and industry. Carbonate minerals are the main gangue minerals of carbonate-type lead-zinc deposits. Traditional prospecting methods may require a lot of time and manpower, and it is difficult to accurately prioritize potential mining areas, resulting in unnecessary exploration and mining work. Summary of the invention

[0003] 1. Technical issues to be resolved

[0004] In view of the shortcomings of the prior art, the present invention provides a method for prospecting carbonate rock type lead-zinc ore, which has the advantages of improving prospecting efficiency and solves the above-mentioned technical problems.

[0005] (II) Technical solution

[0006] To achieve the above object, the present invention provides the following technical solution: a method for prospecting carbonate lead-zinc ore, comprising the following steps:

[0007] S1: Collect the geological characteristics of the current area and build a geological characteristics database, collect the geological characteristics of historically mined carbonate lead-zinc mines, and build a historical geological characteristics database;

[0008] S2: Based on the geological feature database, the geological feature parameters corresponding to the currently collected geological features are obtained, and the geological similarity of each parameter with the geological features in the historical geological feature database is calculated, and the geological similarity coefficient DZXS is calculated based on all geological similarities;

[0009] S3: When the geological similarity coefficient DZXS is greater than or equal to the first similarity threshold, execute S4; when the geological similarity coefficient DZXS is less than the first similarity threshold, terminate the judgment;

[0010] S4: Collect the physical characteristics of the current area and build a physical characteristics database. At the same time, read the physical characteristics of historically mined carbonate lead-zinc mines and build a historical physical characteristics database.

[0011] S5: Based on the physical property database and the historical physical property database, obtain the resistivity difference and self-potential anomaly difference of several sub-areas in the current area;

[0012] S6: Based on the resistivity differences and self-potential anomaly differences of the plurality of sub-regions, a comprehensive difference degree is calculated, and the comprehensive difference degree is output.

[0013] As a preferred technical solution of the present invention, the S2 obtains the geological characteristic parameters corresponding to the currently collected geological characteristics based on the geological characteristic database, and calculates the geological similarity of each parameter with the geological characteristics in the historical geological characteristic database. The specific steps are as follows:

[0014] S2.1: Obtain the stratum thickness DCHD, magnetic field intensity CCQD and the strike angle ZXJD of the fault zone from the geological feature database;

[0015] S2.2: Obtaining the stored value of stratum thickness DCHD based on the historical geological characteristics database 0 , magnetic field strength storage value CCQD 0 The stored value of the strike angle of the fault zone is ZXJD 0 ;

[0016] S2.3: Based on the stored value DCHD of formation thickness 0 , magnetic field strength storage value CCQD 0 The stored value of the strike angle of the fault zone is ZXJD 0 The difference values ​​of formation thickness DCHD, magnetic field intensity CCQD and fault zone strike angle ZXJD are calculated respectively, and the geological similarity coefficient DZXS is calculated.

[0017] As a preferred technical solution of the present invention, the stratum thickness storage value DCHD is obtained based on the historical geological feature database in S2.2. 0 The specific steps are as follows:

[0018] S2a.1: Obtain the thickness of all strata during the historical carbonate lead-zinc mining process. The specific expression is as follows:

[0019]

[0020] Among them, LSDC 1 ,…,LSDC i ,…,LSDC I They represent the average stratigraphic thickness of the first carbonate-type lead-zinc mine, …, the average stratigraphic thickness of the ith carbonate-type lead-zinc mine, …, the average stratigraphic thickness of the ith carbonate-type lead-zinc mine in the historical carbonate-type lead-zinc mining process, respectively. LSDC represents the stratigraphic thickness dataset;

[0021] S2a.2: Obtain the historical geological characteristics database to obtain the stored value of the stratum thickness DCHD 0 , the specific expression is as follows:

[0022]

[0023] in, It represents the sum of the average stratigraphic thickness of a total of I carbonate lead-zinc deposits, and maxLSDC represents the maximum value in the stratigraphic thickness data set LSDC.

[0024] As a preferred technical solution of the present invention, the magnetic field strength storage value CCQD is obtained based on the historical geological feature database in S2.2. 0 The specific steps are as follows:

[0025] S2b.1: Obtain all magnetic field intensities during the historical carbonate lead-zinc mining process. The specific expression is as follows:

[0026]

[0027] Among them, LSCC 1 ,…,LSCC i ,…,LSCC I They represent the average magnetic field intensity of the first carbonate-type lead-zinc mine, …, the average magnetic field intensity of the ith carbonate-type lead-zinc mine, …, the average magnetic field intensity of the ith carbonate-type lead-zinc mine in the historical carbonate-type lead-zinc mining process, respectively. LSCC represents the magnetic field intensity dataset;

[0028] S2b.2: Obtain the historical geological characteristics database to obtain the stored value of the magnetic field strength CCQD 0 , the specific expression is as follows:

[0029]

[0030] in, It represents the sum of the average magnetic field intensities of a total of I carbonate lead-zinc deposits, maxLSCC represents the maximum value in the magnetic field intensity data set LSCC, and minLSCC represents the minimum value in the magnetic field intensity data set LSCC.

[0031] As a preferred technical solution of the present invention, the strike angle storage value ZXJD of the fault zone is obtained based on the historical geological feature database in S2.2. 0 The specific steps are as follows:

[0032] S2c.1: Obtain the strike angles of all fault zones during the historical carbonate lead-zinc mining process. The specific expression is as follows:

[0033]

[0034] Among them, ZXJD 1 ,…,ZXJD i, …,ZXJD IThey respectively represent the strike average angle of the first average fault zone of carbonate-type lead-zinc mine in the historical carbonate-type lead-zinc mining process, …, the strike average angle of the i-th average fault zone of carbonate-type lead-zinc mine, …, the strike average angle of the I-th average fault zone of carbonate-type lead-zinc mine, and ZXJD represents the angle data set;

[0035] S2c.2: Obtain the historical geological characteristics database to obtain the stored value of the strike angle of the fault zone ZXJD 0 , the specific expression is as follows:

[0036]

[0037] in, It represents the sum of the strike angles of the average fault zones of a total of I carbonate lead-zinc deposits.

[0038] As a preferred technical solution of the present invention, the specific expression of the geological similarity coefficient DZXS calculated in S2.3 is as follows:

[0039]

[0040] Among them, HDCZ represents the difference in stratum thickness, CCCZ represents the difference in magnetic field, JDCZ represents the difference in angle, and DZXS represents the geological similarity coefficient.

[0041] As a preferred technical solution of the present invention, the specific expressions of the formation thickness difference HDCZ, the magnetic field difference CCCZ and the angle difference JDCZ are as follows:

[0042]

[0043]

[0044]

[0045] Among them, DCHD 0 Indicates the stored value of formation thickness, CCQD 0 Indicates the stored value of magnetic field strength, ZXJD 0 Indicates the stored value of the strike angle of the fault zone, DCHD indicates the formation thickness, CCQD indicates the magnetic field intensity, HDCZ indicates the formation thickness difference, CCCZ indicates the magnetic field difference, JDCZ indicates the angle difference, |DCHD-DCHD 0 ∣ indicates DCHD-DCHD 0 The absolute value of , sin represents the calculation of sine value, and cos represents the calculation of cosine value.

[0046] As a preferred technical solution of the present invention, the specific expression for obtaining the resistivity difference of several sub-regions in the current region in S5 is as follows:

[0047]

[0048] Among them, DZL j represents the resistivity of the jth sub-region of the current region, represents the sum of the resistivity of J sub-regions, DZLCY represents the resistivity difference, LSDZL i represents the average resistivity of the ith carbonate lead-zinc ore, express The absolute value of It means summing the resistivity of a total of I carbonate lead-zinc ores.

[0049] As a preferred technical solution of the present invention, the specific expression for obtaining the self-potential anomaly difference of several sub-regions in the current region is as follows:

[0050]

[0051] Among them, ZDW j represents the self-potential of the jth sub-region of the current region, represents the sum of the self-potentials of J sub-regions, ZDWCY represents the self-potential difference, LSDZL i represents the average self-potential of the ith carbonate lead-zinc ore, ∣ ∣ means The absolute value of It represents the sum of the self-potentials of a total of I carbonate rock-type lead-zinc deposits.

[0052] As a preferred technical solution of the present invention, the specific expression for calculating the comprehensive difference degree based on the resistivity difference and self-potential anomaly difference of several sub-regions in S6 is as follows:

[0053]

[0054] Among them, ZHCY represents the comprehensive difference, DZLCY represents the resistivity difference, and ZDWCY represents the self-potential difference.

[0055] Compared with the prior art, the present invention provides a method for prospecting carbonate lead-zinc ore, which has the following beneficial effects:

[0056] The present invention calculates various difference values ​​based on the stored values ​​of stratum thickness, magnetic field intensity and strike angle of the fault zone and the stratum thickness, magnetic field intensity and strike angle of the fault zone, and calculates the geological similarity coefficient, and makes a preliminary judgment on it. If the preliminary judgment is passed, the comprehensive difference is calculated based on the resistivity difference and self-potential anomaly difference of several sub-areas, and the mineral yield is output. At this time, it can be guaranteed that preliminary exploration is carried out before large-scale mining equipment starts working, thereby ensuring the high efficiency of prospecting for carbonate lead-zinc mines. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] See also Figure 1 , a method for prospecting carbonate rock type lead-zinc ore, comprising the following steps:

[0060] S1: Collect the geological characteristics of the current area and build a geological characteristics database, collect the geological characteristics of historically mined carbonate lead-zinc mines, and build a historical geological characteristics database;

[0061] S2: Based on the geological feature database, the geological feature parameters corresponding to the currently collected geological features are obtained, and the geological similarity of each parameter with the geological features in the historical geological feature database is calculated, and the geological similarity coefficient DZXS is calculated based on all geological similarities. In S2, the geological feature parameters corresponding to the currently collected geological features are obtained based on the geological feature database, and the geological similarity of each parameter with the geological features in the historical geological feature database is calculated. The specific steps are as follows:

[0062] S2.1: Obtain the stratum thickness DCHD, magnetic field intensity CCQD and fault zone strike angle ZXJD from the geological feature database;

[0063] S2.2: Obtaining the stored value of stratum thickness DCHD based on the historical geological characteristics database 0 , magnetic field strength storage value CCQD 0 The stored value of the strike angle of the fault zone is ZXJD 0 ;

[0064] Obtaining stored values ​​of stratum thickness based on historical geological characteristics database DCHD0 The specific steps are as follows:

[0065] S2a.1: Obtain the thickness of all strata during the historical carbonate lead-zinc mining process. The specific expression is as follows:

[0066]

[0067] Among them, LSDC 1 ,…,LSDC i ,…,LSDC I They represent the average stratigraphic thickness of the first carbonate-type lead-zinc mine, …, the average stratigraphic thickness of the ith carbonate-type lead-zinc mine, …, the average stratigraphic thickness of the ith carbonate-type lead-zinc mine in the historical carbonate-type lead-zinc mining process, respectively. LSDC represents the stratigraphic thickness dataset;

[0068] S2a.2: Obtain the historical geological characteristics database to obtain the stored value of the stratum thickness DCHD 0 , the specific expression is as follows:

[0069]

[0070] in, It represents the sum of the average stratigraphic thickness of a total of I carbonate lead-zinc deposits, and maxLSDC represents the maximum value in the stratigraphic thickness data set LSDC.

[0071] Obtaining stored values ​​of magnetic field strength based on historical geological characteristics database CCQD 0 The specific steps are as follows:

[0072] S2b.1: Obtain all magnetic field strengths during the historical carbonate lead-zinc mining process. The specific expression is as follows:

[0073]

[0074] Among them, LSCC 1 ,…,LSCC i ,…,LSCC I They represent the average magnetic field intensity of the first carbonate-type lead-zinc mine, …, the average magnetic field intensity of the ith carbonate-type lead-zinc mine, …, the average magnetic field intensity of the ith carbonate-type lead-zinc mine in the historical carbonate-type lead-zinc mining process, respectively. LSCC represents the magnetic field intensity dataset;

[0075] S2b.2: Obtain the historical geological characteristics database to obtain the stored value of the magnetic field strength CCQD 0 , the specific expression is as follows:

[0076]

[0077] in, It represents the sum of the average magnetic field intensities of a total of I carbonate lead-zinc deposits, maxLSCC represents the maximum value in the magnetic field intensity data set LSCC, and minLSCC represents the minimum value in the magnetic field intensity data set LSCC.

[0078] Obtain the stored value of the strike angle of the fault zone based on the historical geological characteristics database ZXJD 0 The specific steps are as follows:

[0079] S2c.1: Obtain the strike angles of all fault zones during the historical carbonate lead-zinc mining process. The specific expression is as follows:

[0080]

[0081] Among them, ZXJD 1 ,…,ZXJD i, …,ZXJD I They respectively represent the strike average angle of the first average fault zone of carbonate-type lead-zinc mine in the historical carbonate-type lead-zinc mining process, …, the strike average angle of the i-th average fault zone of carbonate-type lead-zinc mine, …, the strike average angle of the I-th average fault zone of carbonate-type lead-zinc mine, and ZXJD represents the angle data set;

[0082] S2c.2: Obtain the historical geological characteristics database to obtain the stored value of the strike angle of the fault zone ZXJD 0 , the specific expression is as follows:

[0083]

[0084] in, It represents the sum of the strike angles of the average fault zones of a total of I carbonate lead-zinc deposits;

[0085] S2.3: Based on the stored value DCHD of formation thickness 0 , magnetic field strength storage value CCQD 0 The stored value of the strike angle of the fault zone is ZXJD 0 The difference values ​​are calculated from the formation thickness DCHD, magnetic field intensity CCQD and fault zone strike angle ZXJD, and the geological similarity coefficient DZXS is calculated. The specific expression is as follows:

[0086]

[0087] Among them, HDCZ represents the difference in formation thickness, CCCZ represents the difference in magnetic field, JDCZ represents the difference in angle, and DZXS represents the geological similarity coefficient. The specific expressions of formation thickness difference HDCZ, magnetic field difference CCCZ and angle difference JDCZ are as follows:

[0088]

[0089]

[0090]

[0091] Among them, DCHD 0 Indicates the stored value of formation thickness, CCQD 0 Indicates the stored value of magnetic field strength, ZXJD 0 Indicates the stored value of the strike angle of the fault zone, DCHD indicates the formation thickness, CCQD indicates the magnetic field intensity, HDCZ indicates the formation thickness difference, CCCZ indicates the magnetic field difference, JDCZ indicates the angle difference, |DCHD-DCHD 0 ∣ indicates DCHD-DCHD 0 The absolute value of , sin represents the calculation of sine value, cos represents the calculation of cosine value, that is, the final result is:

[0092]

[0093] S3: When the geological similarity coefficient DZXS is greater than or equal to the first similarity threshold, execute S4; when the geological similarity coefficient DZXS is less than the first similarity threshold, terminate the judgment;

[0094] S4: Collect the physical characteristics of the current area and build a physical characteristics database. At the same time, read the physical characteristics of historically mined carbonate lead-zinc mines and build a historical physical characteristics database.

[0095] S5: Based on the physical property database and the historical physical characteristic database, the resistivity difference and self-potential anomaly difference of several sub-areas in the current area are obtained. The specific expressions are as follows:

[0096]

[0097] Among them, DZL j represents the resistivity of the jth sub-region of the current region, represents the sum of the resistivity of J sub-regions, DZLCY represents the resistivity difference, LSDZL i represents the average resistivity of the ith carbonate lead-zinc ore, express The absolute value of The specific expression for summing the resistivity of a total of I carbonate lead-zinc deposits to obtain the self-potential anomaly differences of several sub-areas in the current area is as follows:

[0098]

[0099] Among them, ZDW j represents the self-potential of the jth sub-region of the current region, represents the sum of the self-potentials of J sub-regions, ZDWCY represents the self-potential difference, LSDZL i represents the average self-potential of the ith carbonate lead-zinc ore, ∣ ∣ means The absolute value of It means summing the self-potentials of a total of I carbonate rock type lead-zinc mines;

[0100] S6: Based on the resistivity differences and self-potential anomaly differences of several sub-regions, the specific expression for calculating the comprehensive difference is as follows:

[0101]

[0102] Among them, ZHCY represents the comprehensive difference, DZLCY represents the resistivity difference, ZDWCY represents the self-potential difference, and the comprehensive difference is output.

[0103] Embodiment 1:

[0104] The data recorded in this example are shown in Table 1 below

[0105] Table 1

[0106]

[0107] =0.832>the first similarity threshold 0.75.

[0108] At this time, see Table 2 below

[0109] Table 2

[0110]

[0111] DZLCY=0.06, ZDWCY=0.118, =0.911, at this time, the comprehensive difference is used as the prospecting rate for further exploration judgment;

[0112] Embodiment 2:

[0113] The data recorded in this example are shown in Table 3 below

[0114] Table 3

[0115]

[0116] =0.394<the first similarity threshold 0.75, at which point the prospecting is terminated;

[0117] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for prospecting carbonate rock type lead-zinc ore, characterized in that: The following steps are involved: S1: Collect the geological characteristics of the current area and build a geological characteristics database, collect the geological characteristics of historically mined carbonate lead-zinc mines, and build a historical geological characteristics database; S2: Based on the geological feature database, the geological feature parameters corresponding to the currently collected geological features are obtained, and the geological similarity of each parameter with the geological features in the historical geological feature database is calculated, and the geological similarity coefficient DZXS is calculated based on all geological similarities; In S2, the geological feature parameters corresponding to the currently collected geological features are obtained based on the geological feature database, and the geological similarity of each parameter with the geological features in the historical geological feature database is calculated. The specific steps are as follows: S2.1: Obtain the stratum thickness DCHD, magnetic field intensity CCQD and fault zone strike angle ZXJD from the geological feature database; S2.2: Based on the historical geological characteristics database, the stored value of stratum thickness DCHD0, the stored value of magnetic field intensity CCQD0 and the stored value of strike angle of the fault zone ZXJD0 are obtained; S2.3: Based on the stored value of formation thickness DCHD0, the stored value of magnetic field intensity CCQD0 and the stored value of strike angle of the fault zone ZXJD0 and the formation thickness DCHD, the magnetic field intensity CCQD and the strike angle ZXJD of the fault zone, the respective difference values ​​are calculated, and the geological similarity coefficient DZXS is calculated; The specific steps for calculating the geological similarity coefficient DZXS in S2.3 are as follows: Among them, HDCZ represents the difference in stratum thickness, CCCZ represents the difference in magnetic field, JDCZ represents the difference in angle, and DZXS represents the geological similarity coefficient; The specific expressions of the formation thickness difference HDCZ, magnetic field difference CCCZ and angle difference JDCZ are as follows: Among them, DCHD0 represents the stored value of formation thickness, CCQD0 represents the stored value of magnetic field intensity, ZXJD0 represents the stored value of the strike angle of the fault zone, DCHD represents formation thickness, CCQD represents magnetic field intensity, HDCZ represents formation thickness difference, CCCZ represents magnetic field difference, JDCZ represents angle difference, |DCHD-DCHD0| represents the absolute value of DCHD-DCHD0, sin represents the calculation of sine value, and cos represents the calculation of cosine value; S3: When the geological similarity coefficient DZXS is greater than or equal to the first similarity threshold, execute S4; when the geological similarity coefficient DZXS is less than the first similarity threshold, terminate the judgment; S4: Collect the physical characteristics of the current area and build a physical characteristics database. At the same time, read the physical characteristics of historically mined carbonate lead-zinc mines and build a historical physical characteristics database. S5: Based on the physical property database and the historical physical property database, obtain the resistivity difference and self-potential anomaly difference of several sub-areas in the current area; The specific expression for obtaining the resistivity difference of several sub-regions in the current region in S5 is as follows: Among them, DZL j represents the resistivity of the jth sub-region of the current region, represents the sum of the resistivity of J sub-regions, DZLCY represents the resistivity difference, LSDZL i represents the average resistivity of the ith carbonate lead-zinc ore, express The absolute value of It means summing the resistivity of a total of I carbonate lead-zinc mines; The specific expression for obtaining the self-potential anomaly difference of several sub-regions in the current region is as follows: Among them, ZDW j represents the self-potential of the jth sub-region of the current region, represents the sum of the self-potentials of J sub-regions, ZDWCY represents the self-potential difference, LSDZL i represents the average self-potential of the ith carbonate lead-zinc ore, ∣ ∣ means The absolute value of It means summing the self-potentials of a total of I carbonate rock type lead-zinc mines; S6: Based on the resistivity differences and self-potential anomaly differences of the plurality of sub-regions, a comprehensive difference degree is calculated, and the comprehensive difference degree is output.

2. The method for prospecting a carbonate lead-zinc ore according to claim 1, characterized in that: The specific steps of obtaining the stored stratum thickness value DCHD0 based on the historical geological feature database in S2.2 are as follows: S2a.1: Obtain the thickness of all strata during the historical carbonate lead-zinc mining process. The specific expression is as follows: Among them, LSDC1,…,LSDC i ,…,LSDC I They represent the average stratigraphic thickness of the first carbonate-type lead-zinc mine, …, the average stratigraphic thickness of the ith carbonate-type lead-zinc mine, …, the average stratigraphic thickness of the ith carbonate-type lead-zinc mine in the historical carbonate-type lead-zinc mining process, respectively. LSDC represents the stratigraphic thickness dataset; S2a.2: Obtain the historical geological characteristics database to obtain the stored value of the stratum thickness DCHD0. The specific expression is as follows: in, It represents the sum of the average stratigraphic thickness of a total of I carbonate lead-zinc deposits, and maxLSDC represents the maximum value in the stratigraphic thickness data set LSDC.

3. The method for prospecting a carbonate rock type lead-zinc ore according to claim 2, characterized in that: The specific steps of obtaining the magnetic field intensity storage value CCQD0 based on the historical geological characteristics database in S2.2 are as follows: S2b.1: Obtain all magnetic field strengths during the historical carbonate lead-zinc mining process. The specific expression is as follows: Among them, LSCC1,…,LSCC i ,…,LSCC I They represent the average magnetic field intensity of the first carbonate-type lead-zinc mine, …, the average magnetic field intensity of the ith carbonate-type lead-zinc mine, …, the average magnetic field intensity of the ith carbonate-type lead-zinc mine in the historical carbonate-type lead-zinc mining process, respectively. LSCC represents the magnetic field intensity dataset; S2b.2: Obtain the historical geological characteristics database to obtain the magnetic field strength storage value CCQD0. The specific expression is as follows: in, It represents the sum of the average magnetic field intensities of a total of I carbonate lead-zinc mines, maxLSCC represents the maximum value in the magnetic field intensity data set LSCC, and minLSCC represents the minimum value in the magnetic field intensity data set LSCC.

4. The method for prospecting a carbonate rock type lead-zinc ore according to claim 3, characterized in that: The specific steps of obtaining the stored value ZXJD0 of the strike angle of the fault zone based on the historical geological feature database in S2.2 are as follows: S2c.1: Obtain the strike angles of all fault zones during the historical carbonate lead-zinc mining process. The specific expression is as follows: Among them, ZXJD1,…,ZXJD i ,…,ZXJD I They respectively represent the strike average angle of the first carbonate-type lead-zinc mine average fault zone in the historical carbonate-type lead-zinc mine mining process, …, the strike average angle of the ith carbonate-type lead-zinc mine average fault zone, …, the strike average angle of the ith carbonate-type lead-zinc mine average fault zone, and ZXJD represents the angle data set; S2c.2: Obtain the historical geological characteristics database to obtain the stored value ZXJD0 of the strike angle of the fault zone. The specific expression is as follows: in, It represents the sum of the strike angles of the average fault zones of a total of I carbonate lead-zinc deposits.

5. The method for prospecting a carbonate rock type lead-zinc ore according to claim 1, characterized in that: The specific expression for calculating the comprehensive difference degree based on the resistivity difference and self-potential anomaly difference of several sub-regions in S6 is as follows: Among them, ZHCY represents the comprehensive difference, DZLCY represents the resistivity difference, and ZDWCY represents the self-potential difference.

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