Coal resource directional exploration method and system

Abstract

The invention belongs to the technical field of coal exploration, and provides a coal resource directional exploration method and system, and the method comprises the steps: obtaining the physical data of each to-be-explored region in a coal resource directional exploration process, carrying out the processing of the physical data to obtain a coal seam performance value, and obtaining a coal seam performance value according to the geological structure data of the to-be-explored region in combination with the coal seam performance value; calculating to obtain a coal seam occurrence state value, identifying a complex exploration area in the to-be-explored area according to the coal seam occurrence state value, acquiring extension lengths of the coal seam at different positions in the exploration line direction of the to-be-explored area, performing processing analysis, judging extension performance of the coal seam, and identifying to obtain a low-extension exploration line according to the extension performance of the coal seam. Iterative analysis is carried out on the standard range of the drill hole spacing, the drill hole spacing on the low-extension exploration line is determined, and the method is beneficial for improving the accuracy of coal directional detection.

Description

Technical Field

[0001] The invention belongs to the technical field of coal detection, in particular to a method and system for directional exploration of coal resources. Background Art

[0002] In reality, coal, as one of my country's main energy resources, occupies an important position in the energy structure. Through directional exploration, we can accurately grasp the distribution, reserves and quality of coal resources, provide a reliable basis for coal mining, and thus ensure the country's energy supply and energy strategic security. This is of great significance to maintaining national economic stability and social development.

[0003] In the prior art, there are still some deficiencies in the directional exploration of coal resources. On the one hand, drilling detection and layout setting of exploration lines are usually adopted in the directional exploration of coal resources. However, the prior art lacks the layout analysis of the exploration lines according to the coal seam performance and geological performance in the exploration area, resulting in that the exploration lines set in the prior art sometimes cannot meet the exploration requirements of the exploration area. For example, in the exploration area with complex coal seams and geology, the density of the exploration lines is not enough, resulting in low accuracy in drilling detection of coal seams. On the other hand, in coal seam exploration, there is a lack of reasonable layout of boreholes according to the extension performance of the coal seams on the exploration lines. Most of the set boreholes are not located on the extension path of the coal seam or the distance deviation between the set boreholes and the extension path of the coal seam is large, which further leads to low accuracy in drilling detection of coal seams.

[0004] To this end, the present invention provides a method and system for directional exploration of coal resources. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve its technical problem is:

[0007] In a first aspect, the present invention provides a method for directional exploration of coal resources, comprising:

[0008] In the process of directional exploration of coal resources, physical data of each area to be explored is obtained, and coal seam performance values ​​are obtained based on processing and analysis of the physical data;

[0009] According to the geological structure data of the area to be explored and combined with the coal seam performance value, the coal seam occurrence state value is calculated, and the complex exploration area is identified in the area to be explored according to the coal seam occurrence state value;

[0010] Based on the complex exploration area, determine whether the exploration line setting needs to be optimized according to the number of exploration lines set in the complex exploration area during the historical exploration cycle. If necessary, optimize it;

[0011] According to the historical exploration report, the extension length of the coal seam at different positions in the exploration line direction of the area to be explored is obtained, and the extension performance of the coal seam is judged according to the analysis results, and the low extension exploration line is identified according to the extension performance of the coal seam;

[0012] Based on the low-extension exploration line, an iterative analysis is performed on the standard range of borehole spacing settings to determine the borehole spacing on the low-extension exploration line.

[0013] In a second aspect, the present invention provides a coal resource directional exploration system, comprising:

[0014] Coal seam data acquisition module: In the process of directional exploration of coal resources, the physical data of each area to be explored is obtained, and the coal seam performance value is obtained based on the processing and analysis of the physical data;

[0015] Exploration area analysis module: Calculate the coal seam occurrence state value based on the geological structure data of the area to be explored and the coal seam performance value, and identify complex exploration areas in the area to be explored based on the coal seam occurrence state value;

[0016] Exploration line optimization module: Based on complex exploration areas, it determines whether exploration line setting optimization is needed according to the number of exploration lines set in the complex exploration area during the historical exploration cycle. If necessary, optimization is performed;

[0017] Exploration line identification module: According to the historical exploration report, the extension length of the coal seam at different positions in the exploration line direction of the exploration area is obtained, and the extension performance of the coal seam is judged according to the analysis results, and the low extension exploration line is identified according to the extension performance of the coal seam;

[0018] Drilling setting module: Based on the low-extension exploration line, iterative analysis is performed on the standard range of drilling spacing setting to determine the drilling spacing on the low-extension exploration line.

[0019] The beneficial effects of the present invention are as follows:

[0020] 1. In the process of directional exploration of coal resources, physical data of each area to be explored is obtained, and coal seam performance values ​​are obtained based on processing and analysis of the physical data. Coal seam occurrence state values ​​are calculated based on geological structure data of the area to be explored and combined with coal seam performance values, and complex exploration areas are identified in the area to be explored based on the coal seam occurrence state values. The present invention identifies the area to be explored through the coal seam performance and geological performance of the area to be explored, thereby performing targeted exploration line layout settings for the area to be explored, thereby improving the accuracy of directional exploration of coal seams.

[0021] 2. According to historical exploration reports, the extension length of the coal seam at different positions in the direction of the exploration line in the area to be explored is obtained, and processing and analysis are performed. The extension performance of the coal seam is judged according to the analysis results, and a low-extension exploration line is identified according to the extension performance of the coal seam. Based on the low-extension exploration line, the standard range of borehole spacing setting is iteratively analyzed to determine the borehole spacing on the low-extension exploration line. The present invention is conducive to classifying and identifying the exploration lines through the analysis of the extension performance of the coal seams, and determining the borehole spacing on the low-extension exploration line in combination with iterative analysis, which is conducive to further improving the accuracy of directional coal detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The present invention will be further described below in conjunction with the accompanying drawings.

[0023] Figure 1 It is a flowchart of the steps of a method for directional exploration of coal resources according to an embodiment of the present invention;

[0024] Figure 2 It is a system module diagram of a coal resource directional exploration system described in an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0026] Example 1

[0027] like Figure 1 As shown, a method for directional exploration of coal resources according to an embodiment of the present invention includes:

[0028] Step 1: In the process of directional exploration of coal resources, physical data of each area to be explored is obtained, and coal seam performance values ​​are obtained based on processing and analysis of the physical data;

[0029] In some embodiments, physical data of each area to be explored is obtained through historical exploration reports of the area to be explored, wherein the physical data includes thickness data and characteristic data, the thickness data includes the thickness of the coal seam, and the characteristic data includes but is not limited to physical properties such as coal density, resistivity, and magnetic susceptibility;

[0030] Based on the thickness of coal seams in the area to be explored, a spatial distribution model of the thickness of coal seams in the area to be explored is constructed using spatial interpolation methods;

[0031] Using the Geographic Information System (GIS), a coal seam thickness variation map is drawn based on the spatial distribution model of coal seam thickness, and the contour lines of coal seam thickness are marked in the coal seam thickness variation map;

[0032] Integrate adjacent contour lines into contour line groups, measure the distance between two adjacent contour lines in the contour line group, obtain the contour line close distance, and integrate all the contour line close distances into contour line distance groups (JL1, JL2, JL3...JL n ), among which JL n It indicates the distance between the contour lines of the nth contour line group, where n indicates the number of contour line groups;

[0033] In the coal seam thickness variation diagram, identify the coal seam mutation point according to the coal seam color;

[0034] Among them, the method of identifying the coal seam mutation point according to the coal seam color is:

[0035] A sudden change from blue (representing a thinner coal seam) to red (representing a thicker coal seam), or vice versa, may be the mutation point of the coal seam thickness;

[0036] The difference in coal seam thickness before and after the coal seam mutation point is calculated to obtain the coal seam mutation amplitude at the coal seam mutation point. The coal seam mutation amplitudes of all coal seam mutation points obtained are integrated into a mutation amplitude group (TB1, TB2, TB3...TB4). z ), where TB z It represents the coal seam mutation amplitude of the Zth coal seam mutation point, and z represents the number of coal seam mutation points;

[0037] Count the number of coal seam mutation points and compare them with the total number of coal seams to obtain the coal seam mutation ratio, which is marked as Tb;

[0038] By formula: Obtain the coal seam change value MB, where s1, s2 and s3 are preset proportional coefficients, MH is the total thickness of the coal seam, s1 is 1.24, s2 is 1.16, and s3 is 1.58;

[0039] Based on the characteristic data, the physical properties of coal seams at different depths are obtained, and a distribution map of the physical properties of coal seams is constructed based on any one physical property;

[0040] The physical properties of coal seams at different depths are integrated into physical property feature groups (W T1 , WT2, WT3......WT V ) Among them, WT V represents the physical property characteristics, and v represents the number of physical property characteristics;

[0041] By formula: The calculated coefficient of variation BY of the physical property feature group;

[0042] Compare the coefficient of variation BY of the physical property feature group with the coefficient of variation threshold;

[0043] If the coefficient of variation BY of the physical property feature group is greater than the coefficient of variation threshold, the physical property feature group is marked as a high-variance feature group;

[0044] If the coefficient of variation BY of the physical property feature group is less than or equal to the coefficient of variation threshold, the physical property feature group is marked as a low-variance feature group;

[0045] The number of high-variance feature groups is counted and compared with the total number of physical property feature groups to obtain the high-variance quantity performance value;

[0046] Based on the high-variability feature group, the coefficient of variation corresponding to the high-variability feature group is processed by difference with the coefficient of variation threshold to obtain the coefficient of variation difference, and the coefficient of variation difference is processed by ratio with the coefficient of variation difference threshold to obtain the high-variability degree performance value;

[0047] The high variation value is obtained by summing the high variation quantity expression value and the high variation degree expression value;

[0048] The obtained high variation value is summed with the coal seam variation value to obtain the coal seam performance value, which is marked as MCb;

[0049] Step 2: Calculate the coal seam occurrence state value based on the geological structure data of the area to be explored and the coal seam performance value, and identify the complex exploration area in the area to be explored based on the coal seam occurrence state value;

[0050] In some embodiments, geological structure data of different locations in the area to be explored are obtained through historical exploration reports of the area to be explored, wherein the geological structure data include but are not limited to the geographical location (latitude and longitude or coordinates), scale (length, width, height) and other data of faults, folds, igneous rocks, etc.;

[0051] Integrate the geological structure data of different locations in the area to be explored to construct a geological structure database;

[0052] Select sample points in the geological structure database, randomly select a sample from the selected sample points as a target sample, combine the target sample with other samples, repeat the selection operation until each sample is used as a target sample, and obtain multiple sample groups;

[0053] Exemplarily, assuming that the samples are: sample 1, sample 2, sample 3...sample p, where p is the number of samples, assuming that the target sample selected for the first time is sample 1, then the sample group obtained is (sample 1, sample 2)(sample 1, sample 3)(sample 1, sample 4)...(sample 1, sample n), and the target sample selected for the second time is sample 2, then the sample group obtained is sample 2, sample 3)(sample 2, sample 4)(sample 2, sample 5)...(sample 2, sample n);

[0054] Among them, the constraints for selecting sample points are:

[0055] The area to be explored is divided into several sub-areas. According to the location distribution of the selected sample points, the number of sample points in each sub-area is counted and integrated to obtain the sample quantity data group (YB1, YB2, YB3...YB j ), among which, YB j represents the number of sample points in the jth sub-region, and j represents the sub-region number;

[0056] Calculate the variance value of the sample size data group, then the constraint condition for sample selection is: the variance value of the sample size data group is greater than or equal to the preset variance value;

[0057] Calculate the distance h of each sample group and the geological structure data difference of the sample group (the difference between two geological structure data of the same type);

[0058] Through the variogram formula: The variance function value γ(h) of the sample group is obtained, where h is the distance between the sample points; N(h) is the number of sample groups at a distance of h; Z(xi) and Z(xi+h) are the geological structure data values ​​at positions xi and xi+h, respectively;

[0059] The calculated variance function value γ(h) and the distance h are plotted into a graph, namely, the variance function graph;

[0060] Obtain the range based on the variogram and mark it as BC;

[0061] By formula: The coal seam occurrence state value MFZ is obtained, wherein z1 and z2 are both preset proportional coefficients, wherein z1 is 1.103 and z2 is 1.469;

[0062] Compare the obtained coal seam occurrence state value MFZ with the threshold value;

[0063] If the coal seam occurrence state value MFZ is greater than or equal to the coal seam occurrence state threshold, the area to be explored is marked as a complex exploration area;

[0064] If the coal seam occurrence state value MFZ is less than the coal seam occurrence state threshold, the area to be explored is marked as a non-complex exploration area;

[0065] Step 3: Based on the complex exploration area, determine whether exploration line setting optimization is needed according to the number of exploration lines set in the complex exploration area during the historical exploration cycle, and if necessary, optimize it;

[0066] Specifically, the number of exploration lines set in the complex exploration area in multiple historical exploration cycles is obtained, and the sum is averaged to obtain the number of historical settings of the exploration lines;

[0067] Compare the number of exploration lines set in the current complex exploration area with the number of exploration lines set historically;

[0068] If the number of exploration lines set in the current complex exploration area is less than the number of exploration lines set in history, it means that optimization is needed, and additional exploration lines are set so that the number of exploration lines set in the current complex exploration area is equal to the number of exploration lines set in history;

[0069] If the number of exploration lines set in the current complex exploration area is greater than or equal to the number of exploration lines set in history, it means that no optimization is required, and no operation is performed;

[0070] The technical solution of the embodiment of the present invention is: in the process of directional exploration of coal resources, physical data of each area to be explored is obtained, and coal seam performance values ​​are obtained based on processing and analysis of the physical data. The coal seam occurrence state values ​​are calculated according to the geological structure data of the area to be explored and combined with the coal seam performance values, and complex exploration areas are identified in the area to be explored according to the coal seam occurrence state values. The present invention identifies the area to be explored through the coal seam performance and geological performance of the area to be explored, so as to carry out targeted exploration line layout setting for the area to be explored, thereby improving the accuracy of directional exploration of coal seams.

[0071] Example 2

[0072] like Figure 1 As shown, based on Example 1, a method for directional exploration of coal resources according to an embodiment of the present invention includes:

[0073] Step 4: Obtain the extension length of the coal seam at different positions in the direction of the exploration line in the area to be explored according to the historical exploration report, and perform processing and analysis, determine the extension performance of the coal seam according to the analysis results, and identify the low-extension exploration line according to the extension performance of the coal seam;

[0074] Specifically, the extended lengths of the coal seams at different positions in the direction of the exploration line are obtained, and the total extended length is obtained by summing them up. The total extended length is ratioed with the distance length of the farthest position to obtain the extended distance ratio, which is marked as YC.

[0075] According to the extension length of the coal seam at different positions in the direction of the exploration line, the extension path of the coal seam is divided into multiple extension sections;

[0076] For example, assuming that a coal seam extension occurs at a horizontal distance of 5 meters from the starting point of the exploration line in the direction of the exploration line, and the extension length is 10 meters, the section between 5 meters and 15 meters is marked as the extension section;

[0077] According to the historical exploration report, the interval distance values ​​between adjacent extension sections are obtained, and the sum is averaged to obtain the mean interval value of the extension path. The mean interval value of the extension path is ratioed with the length of the exploration line to obtain the extension interval distance ratio, which is marked as JG.

[0078] Count the interval times between the extended sections and compare them with the preset interval times to obtain the extended interval times ratio, which is marked as CS.

[0079] The obtained extended distance ratio YC, extended interval distance ratio JG and extended interval number ratio CS are processed by the formula: The extended performance value YZ is obtained, where c1, c2 and c3 are all preset proportional coefficients, c1 is 1.329, c2 is 1.642, and c3 is 1.247;

[0080] Compare the obtained extension performance value YZ with the extension performance threshold;

[0081] If the extension performance value YZ is greater than or equal to the extension performance threshold, it means that the extension performance of the coal seam is good, and the exploration line corresponding to the extension performance value is marked as a high extension exploration line;

[0082] If the extension performance value YZ is less than the extension performance threshold, it will indicate that the extension performance of the coal seam is poor, and the exploration line corresponding to the extension performance value will be marked as a low extension exploration line;

[0083] Step 5: Based on the low-extension exploration line, iteratively analyze the standard range of borehole spacing settings to determine the borehole spacing on the low-extension exploration line;

[0084] Specifically, the process of iterative analysis of the standard range of drilling spacing setting is as follows:

[0085] S1, taking the maximum value within the standard range of borehole spacing setting as the iteration initial value, selecting the iteration interval, where the iteration interval is the minimum interval distance value between adjacent extension sections on the low extension exploration line;

[0086] S2, iterates, specifically:

[0087] Based on any iteration;

[0088] According to the drilling spacing during iteration, drilling holes are set sequentially from the starting point of the low extension exploration line;

[0089] After the drilling is completed, the sections between the extended sections are marked as extended interval sections;

[0090] Mark the boreholes on the extended road section as path-compliant boreholes, and mark the boreholes on the extended interval road section as path-non-compliant boreholes;

[0091] Count the number of non-conforming drill holes in all drill holes, and compare it with the total number of drill holes to obtain the number of non-conforming drill holes.

[0092] Based on the path non-conforming borehole, the distance between the path non-conforming borehole and the nearest adjacent extension section is obtained to obtain the path deviation distance of the path non-conforming borehole, the path deviation distances of all path non-conforming boreholes are summed and averaged to obtain the path deviation distance mean, and the path deviation distance mean is ratioed with the length value of the low extension exploration line to obtain the borehole non-conforming distance value;

[0093] The obtained drilling non-conformity quantity value and drilling non-conformity distance value are summed to obtain the drilling deviation value;

[0094] comparing the drilling deviation value to a drilling deviation threshold;

[0095] If the drilling deviation value is greater than or equal to the drilling deviation threshold, it means that the current drilling spacing does not meet the standard, resulting in most of the set drilling holes not being on the extension path of the coal seam or the distance deviation between them and the extension path of the coal seam is large, so it is necessary to continue iterating;

[0096] If the drilling deviation value is less than the drilling deviation threshold, it means that the current drilling spacing meets the standard, and most of the set drilling holes are on the extension path of the coal seam or the distance deviation between them and the extension path of the coal seam is small, then the current drilling spacing is marked as the target spacing;

[0097] S3, set the iteration stop mechanism, specifically:

[0098] When the target spacing appears, the subsequent iteration results are monitored in real time, and the number of occurrences of the target spacing and the number of intervals between occurrences are counted;

[0099] The number of occurrences of the target spacing is compared with the total number of iterations to obtain the iteration compliance ratio, which is marked as Df;

[0100] The number of target intervals is compared with the total number of iterations to obtain the iteration interval ratio, which is marked as Djz.

[0101] It should be noted that the total number of iterations is obtained by obtaining the range endpoint values ​​of the standard range of the drilling spacing setting, performing difference processing, and taking the absolute value of the difference to obtain the drilling spacing range value, performing ratio processing on the drilling spacing range value and the iteration interval to obtain the total number of iterations;

[0102] Based on the target spacing, the drilling deviation value when the target spacing is iterated is obtained and integrated into a drilling deviation group, and the variance value of the drilling deviation group is calculated to obtain the iterative deviation value, which is marked as Dp;

[0103] The obtained iteration compliance ratio Df, iteration interval ratio Djz and iteration deviation value Dp are processed by data, and the formula is: The iterative stable value Ddw is obtained, where x1, x2 and x3 are all preset proportional coefficients, x1 is 1.59, x2 is 1.63, and x3 is 1.74;

[0104] comparing the iteration stability value with an iteration stability threshold;

[0105] If the iteration stable value is greater than or equal to the iteration stable value, continue to iterate;

[0106] If the iteration stable value is less than the iteration stable value, the iteration is stopped;

[0107] S4, after the iteration stops, outputs the target spacing, which is the drilling spacing on the low-extension exploration line;

[0108] It should be noted that the present invention is aimed at high-extension exploration lines. Since the coal seams targeted by the high-extension exploration lines have good extension length and extension stability, the borehole spacing can be selected within the standard range of the borehole spacing setting;

[0109] The technical solution of the embodiment of the present invention is: according to the historical exploration report, the extension length of the coal seam at different positions in the direction of the exploration line in the area to be explored is obtained, and processing and analysis are performed, the extension performance of the coal seam is judged according to the analysis result, and the low-extension exploration line is identified according to the extension performance of the coal seam, and based on the low-extension exploration line, the standard range of the borehole spacing setting is iteratively analyzed to determine the borehole spacing on the low-extension exploration line. The present invention is conducive to classifying and identifying the exploration lines through the extension performance analysis of the coal seams, and determining the borehole spacing on the low-extension exploration line in combination with iterative analysis, which is conducive to further improving the accuracy of directional coal detection.

[0110] Example 3

[0111] like Figure 2 As shown, a coal resource directional exploration system according to an embodiment of the present invention includes:

[0112] Coal seam data acquisition module: In the process of directional exploration of coal resources, the physical data of each area to be explored is obtained, and the coal seam performance value is obtained based on the processing and analysis of the physical data;

[0113] Exploration area analysis module: Calculate the coal seam occurrence state value based on the geological structure data of the area to be explored and the coal seam performance value, and identify complex exploration areas in the area to be explored based on the coal seam occurrence state value;

[0114] Exploration line optimization module: Based on complex exploration areas, it determines whether exploration line setting optimization is needed according to the number of exploration lines set in the complex exploration area during the historical exploration cycle. If necessary, optimization is performed;

[0115] Exploration line identification module: According to the historical exploration report, the extension length of the coal seam at different positions in the exploration line direction of the exploration area is obtained, and the extension performance of the coal seam is judged according to the analysis results, and the low extension exploration line is identified according to the extension performance of the coal seam;

[0116] Drilling setting module: Based on the low-extension exploration line, iterative analysis is performed on the standard range of drilling spacing setting to determine the drilling spacing on the low-extension exploration line.

[0117] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for directional exploration of coal resources, characterized in that: include: In the process of directional exploration of coal resources, physical data of each area to be explored is obtained, and coal seam performance values ​​are obtained based on processing and analysis of the physical data; According to the geological structure data of the area to be explored and combined with the coal seam performance value, the coal seam occurrence state value is calculated, and the complex exploration area is identified in the area to be explored according to the coal seam occurrence state value; Based on the complex exploration area, determine whether the exploration line setting needs to be optimized according to the number of exploration lines set in the complex exploration area during the historical exploration cycle. If necessary, optimize it; According to the historical exploration report, the extension length of the coal seam at different positions in the exploration line direction of the area to be explored is obtained, and the extension performance of the coal seam is judged according to the analysis results, and the low extension exploration line is identified according to the extension performance of the coal seam; Based on the low-extension exploration line, an iterative analysis is performed on the standard range of borehole spacing settings to determine the borehole spacing on the low-extension exploration line.

2. A method for directional exploration of coal resources according to claim 1, characterized in that: The coal seam performance value is obtained in the following manner: Construct a spatial distribution model of coal seam thickness in the area to be explored; use a geographic information system to draw a coal seam thickness variation map based on the spatial distribution model of coal seam thickness, and perform processing and analysis to obtain the coal seam variation value MB; Construct a distribution map of coal seam physical properties based on any one physical property; The physical properties of coal seams at different depths are integrated into physical property feature groups (W T1 , WT2, WT3......WT V ) Among them, WT V represents the physical property characteristics, and v represents the number of physical property characteristics; By formula: The calculated coefficient of variation BY of the physical property feature group; If the coefficient of variation BY of the physical property feature group is greater than the coefficient of variation threshold, the physical property feature group is marked as a high-variance feature group; By analyzing the number of high-variability feature groups and the variation performance, the high-variability value is obtained and combined with the coal seam variation value to calculate the coal seam performance value, which is marked as MCb.

3. A method for directional exploration of coal resources according to claim 2, characterized in that: The coal seam change value MB is obtained in the following manner: Mark the contour lines of coal seam thickness in the coal seam thickness variation diagram; The contour line group of adjacent contour lines is integrated to obtain the contour line distance, and all the contour line distances are integrated into the contour line distance group (JL1, JL2, JL3...JL n ), among which JL n It indicates the distance between the contour lines of the nth contour line group, where n indicates the number of contour line groups; In the coal seam thickness variation diagram, identify the coal seam mutation point according to the coal seam color; The difference in coal seam thickness before and after the coal seam mutation point is calculated to obtain the coal seam mutation amplitude at the coal seam mutation point, and then integrated into the mutation amplitude group (TB1, TB2, TB3...TB4). z ), where TB z It represents the coal seam mutation amplitude of the Zth coal seam mutation point, and z represents the number of coal seam mutation points; Count the number of coal seam mutation points and compare them with the total number of coal seams to obtain the coal seam mutation ratio, which is marked as Tb; By formula: The coal seam variation value MB is obtained, wherein s1, s2 and s3 are preset proportional coefficients, and MH is the total thickness of the coal seam.

4. A method for directional exploration of coal resources according to claim 1, characterized in that: The coal seam occurrence state value is obtained in the following manner: Integrate the geological structure data of different locations in the area to be explored to construct a geological structure database; select sample points in the geological structure database, and arbitrarily select a sample from the selected sample points as a target sample, combine the target sample with other samples, and repeat the selection operation until each sample is used as a target sample, thereby obtaining multiple sample groups; Through the variogram formula: The variance function value γ(h) of the sample group is obtained, where h is the distance between the sample points; N(h) is the number of sample groups at a distance of h; Z(xi) and Z(xi+h) are the geological structure data values ​​at positions xi and xi+h, respectively; The calculated variance function value γ(h) and the distance h are plotted into a graph, namely, the variance function graph; Obtain the range based on the variogram and mark it as BC; By formula: The coal seam occurrence state value MFZ is obtained, wherein z1 and z2 are both preset proportional coefficients.

5. A method for directional exploration of coal resources according to claim 4, characterized in that: The constraints for selecting the sample points are: The area to be explored is divided into several sub-areas. According to the location distribution of the selected sample points, the number of sample points in each sub-area is counted and integrated to obtain the sample quantity data group (YB1, YB2, YB3...YB j ), among which, YB j represents the number of sample points in the jth sub-region, and j represents the sub-region number; the variance value of the sample size data group is calculated, and the constraint condition for sample selection is: the variance value of the sample size data group is greater than or equal to the preset variance value.

6. A method for directional exploration of coal resources according to claim 1, characterized in that: The process of determining whether exploration line setting optimization is required is as follows: Obtain the number of exploration lines set in the complex exploration area in multiple historical exploration cycles, sum and average them, and obtain the number of historical settings of the exploration lines; If the number of exploration lines set in the current complex exploration area is less than the number of exploration lines historically set, it means that optimization is needed, and then more exploration lines are set so that the number of exploration lines set in the current complex exploration area is equal to the number of exploration lines historically set.

7. A method for directional exploration of coal resources according to claim 1, characterized in that: The identification process of the low-extension exploration line is as follows: The extended lengths of coal seams at different positions in the direction of the exploration line are obtained, and the total extended length is summed up to obtain the extended length. The total extended length is ratioed with the distance length of the farthest position to obtain the extended distance ratio, which is marked as YC. According to the extended lengths of coal seams at different positions in the direction of the exploration line, the extended path of the coal seam is divided into multiple extended sections, and the extended sections are processed and analyzed to obtain the extended interval distance ratio JG and the extended interval number ratio CS. By formula: The extended performance value YZ is obtained, wherein c1, c2 and c3 are all preset proportional coefficients; If the extension performance value YZ is less than the extension performance threshold, it indicates that the extension performance of the coal seam is poor, and the exploration line corresponding to the extension performance value is marked as a low-extension exploration line.

8. A method for directional exploration of coal resources according to claim 7, characterized in that: The extended interval distance ratio JG and the extended interval number ratio CS are obtained as follows: According to the historical exploration report, the interval distance values ​​between adjacent extension sections are obtained, and the sum is averaged to obtain the mean interval value of the extension path. The mean interval value of the extension path is ratioed with the length of the exploration line to obtain the extension interval distance ratio, which is marked as JG. The number of intervals between the extended sections is counted and compared with the preset number of intervals to obtain the extended interval ratio, which is marked as CS.

9. A method for directional exploration of coal resources according to claim 1, characterized in that: The borehole spacing on the low-extension exploration line is determined as follows: The road sections between the extended sections are marked as extended interval sections; the boreholes on the extended interval sections are marked as path non-compliant boreholes; the path non-compliant boreholes are analyzed to obtain the borehole deviation value; the borehole deviation value indicates the proportion of the path non-compliant boreholes and the degree of distance deviation from the extended interval sections; If the drilling deviation value is less than the drilling deviation threshold, the current drilling spacing is marked as the target spacing; Among them, when the target spacing appears, the subsequent iteration results are monitored in real time, and the iteration stability value is processed according to the number of occurrences and the number of intervals of the target spacing. The iteration stability value indicates the interval performance of the target spacing iteration output and the stability of the output result; If the iteration stability value is less than the iteration stability value, the iteration is stopped and the target spacing is output, which is the drilling spacing on the low extension exploration line.

10. A coal resource directional exploration system, characterized in that: include: Coal seam data acquisition module: In the process of directional exploration of coal resources, the physical data of each area to be explored is obtained, and the coal seam performance value is obtained based on the processing and analysis of the physical data; Exploration area analysis module: Calculate the coal seam occurrence state value based on the geological structure data of the area to be explored and the coal seam performance value, and identify complex exploration areas in the area to be explored based on the coal seam occurrence state value; Exploration line optimization module: Based on complex exploration areas, it determines whether exploration line setting optimization is needed according to the number of exploration lines set in the complex exploration area during the historical exploration cycle. If necessary, optimization is performed; Exploration line identification module: According to the historical exploration report, the extension length of the coal seam at different positions in the exploration line direction of the exploration area is obtained, and the extension performance of the coal seam is judged according to the analysis results, and the low extension exploration line is identified according to the extension performance of the coal seam; Drilling setting module: Based on the low-extension exploration line, iterative analysis is performed on the standard range of drilling spacing setting to determine the drilling spacing on the low-extension exploration line.

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