CN115147017B

CN115147017B - Method and device for classifying coal and coalbed methane coordinated development modes and storage medium

Info

Publication number: CN115147017B
Application number: CN202211065404.XA
Authority: CN
Inventors: 刘见中; 舒龙勇; 张慧杰; 李阳; 郭建行; 刘彦青; 季文博; 雷毅; 沈春明
Original assignee: CCTEG China Coal Research Institute
Current assignee: CCTEG China Coal Research Institute
Priority date: 2022-09-01
Filing date: 2022-09-01
Publication date: 2022-11-22
Anticipated expiration: 2042-09-01
Also published as: CN115147017A

Abstract

The application provides a method for classifying coal and coalbed methane coordinated development modes. The method comprises the following steps: determining whether the adjacent coal bed under the target mine is a coal bed group or not based on an equivalent relative interval method; obtaining a ground well applicability evaluation result based on an analytic hierarchy process and a multi-level fuzzy comprehensive evaluation method; and classifying the coal and coal bed gas coordination development mode based on the coal bed group judgment result and the ground well applicability evaluation result. According to the method, the coal bed group is judged firstly, then the applicability of the ground well is evaluated, and the coal and coal bed gas coordinated development mode is classified based on the coal bed group judgment result and the ground well applicability evaluation result, so that the problem that the classification of the coal and coal bed gas coordinated development mode in a coal mine area is not clear is solved, the quantitative classification of the coal and coal bed gas coordinated development mode is realized, and the technical support is provided for the efficient development of the coal and coal bed gas.

Description

Method and device for classifying coal and coalbed methane coordinated development modes and storage medium

Technical Field

The application relates to the technical field of coal bed methane and coal co-mining, in particular to a method and a device for classifying coal and coal bed methane coordinated development modes and a storage medium.

Background

Coal bed gas (coal mine gas) is an important clean energy source. At present, the extraction amount of the coal bed gas in China mainly takes underground extraction as a main part, and is limited by mine construction, underground tunneling and coal mining engineering, so that the resource exploitation of the coal bed gas in a coal mine area is not completely realized. Most coal mines in China are mined by underground workers, and the extraction of coal bed gas seriously restricts the safety production of coal.

In recent years, the concept of coordinated development of coal and coal bed gas becomes an industry consensus, aiming at the problems of incongruity, mutual interference and mutual restriction existing for a long time in the coordinated development of coal and coal bed gas, coal mine enterprises combine the coal bed geological conditions and the characteristics of coal mining in China, develop a large amount of research work in the aspect of coordinated development of coal and coal bed gas in coal mine areas, develop coal bed gas planning extraction technologies and equipment such as ground well development and underground extraction, and lay an important foundation for the coordinated development of coal and coal bed gas. However, the classification of the coordinated development modes of coal and coal bed gas in a coal mine area is not clear in the prior art, so that an appropriate development mode cannot be selected according to different coal mine conditions.

Disclosure of Invention

The application provides a method and a device for classifying a coal and coalbed methane coordinated development mode and a storage medium, which are used for at least solving the problem that classification of the coal and coalbed methane coordinated development mode in a coal mining area is not clear. The technical scheme of the application is as follows:

in a first aspect, an embodiment of the present application provides a method for classifying coal and coal bed methane coordinated development modes, including:

determining whether the adjacent coal seam under the target mine is a coal seam group or not to obtain a coal seam group judgment result;

evaluating the applicability of the ground well to obtain a result of evaluating the applicability of the ground well;

and classifying the coal and coal bed gas coordination development modes based on the coal bed group judgment result and the ground well applicability evaluation result.

In some embodiments, the determining whether the adjacent coal seam below the target mine is a coal seam group comprises:

and determining whether the adjacent coal seams under the target mine are coal seam groups or not based on the equivalent relative interval method.

In some embodiments, the determining whether the adjacent coal seam under the target mine is a coal seam group based on the equivalent relative interval method includes:

calculating an equivalent relative interbed spacing between the adjacent coal seams based on the spatial locations;

when the equivalent relative interval between the adjacent coal seams meets a first preset condition, judging the adjacent coal seams to be coal seam groups;

and when the equivalent relative interlamellar spacing between the adjacent coal seams does not meet a first preset condition, judging the adjacent coal seams to be single coal seams.

In some embodiments, the evaluating the surface well suitability to obtain a surface well suitability evaluation result includes:

obtaining a preliminary evaluation result of the applicability of the ground well based on a preset lowest applicable condition and the corresponding parameters of the target mine;

and when the preliminary evaluation result of the applicability of the ground well meets the condition, obtaining the applicability evaluation result of the ground well based on an analytic hierarchy process and a multi-level fuzzy comprehensive evaluation method.

In some embodiments, the evaluating the surface well suitability to obtain a surface well suitability evaluation result further includes:

and when the preliminary evaluation result of the applicability of the ground well is that the condition is not met, obtaining a result of the applicability evaluation of the ground well.

In some embodiments, the obtaining a surface well applicability evaluation result based on an analytic hierarchy process and a multi-level fuzzy comprehensive evaluation method includes:

acquiring an evaluation index system of the applicability of the ground well, wherein the evaluation index system comprises a multi-level index with a progressive relation;

calculating the weight of each index in the evaluation index system of the ground well applicability based on an analytic hierarchy process to obtain a weight set;

based on a multi-level fuzzy comprehensive evaluation method and the weight set, the applicability of the ground well is graded to obtain a grading result;

and obtaining a ground well applicability evaluation result based on the grading result and a preset ground well applicability rating.

In some embodiments, the calculating a weight for each indicator in the evaluation indicator system of the suitability of the surface well based on the analytic hierarchy process comprises:

establishing a hierarchical structure model based on the evaluation index system of the ground well applicability;

constructing a judgment matrix based on the hierarchical structure model;

and calculating the weight of each index in the evaluation index system of the ground well applicability based on the judgment matrix.

In some embodiments, the scoring the surface well applicability based on the multi-level fuzzy comprehensive evaluation method and the weight set to obtain a quantitative score includes:

determining a single-factor evaluation matrix;

synthesizing the single-factor evaluation matrix and the weight set to obtain comprehensive evaluation of the applicability of the ground well;

and normalizing the comprehensive evaluation of the applicability of the ground well, and quantizing the normalized comprehensive evaluation of the applicability of the ground well to obtain a quantized score.

In some embodiments, the coal seam group determination result comprises a single coal seam and a coal seam group, and the surface well suitability evaluation result comprises surface well suitability and surface well inapplicability; the mode classification obtained by classifying the coal and coal bed gas coordinated development mode based on the coal bed group judgment result and the ground well applicability evaluation result comprises the following steps: the system comprises a single coal seam underground combined development mode, a single coal seam underground development mode, a coal seam group underground combined development mode and a coal seam group underground development mode.

In a second aspect, an embodiment of the present application provides a coal and coalbed methane coordinated development mode classification device, including:

the coal bed determining module is used for determining whether the adjacent coal bed under the target mine is a coal bed group or not to obtain a coal bed group judgment result;

the applicability evaluation module is used for evaluating the applicability of the ground well to obtain a result of the applicability evaluation of the ground well;

and the mode classification module is used for classifying the coal and coal bed gas coordinated development mode based on the coal bed group judgment result and the ground well applicability evaluation result.

In some embodiments, the coal seam determination module is to:

and determining whether the adjacent coal bed under the target mine is a coal bed group or not based on an equivalent relative interval method.

In some embodiments, the coal seam determination module is specifically configured to:

when the equivalent relative inter-layer distance between the adjacent coal seams meets a first preset condition, judging the adjacent coal seams to be coal seam groups;

and when the equivalent relative interlayer spacing between the adjacent coal seams does not meet a first preset condition, judging that the adjacent coal seams are single coal seams.

In some embodiments, the suitability evaluation module comprises:

the ticket evaluation unit is used for obtaining a preliminary evaluation result of the applicability of the ground well based on a preset lowest applicable condition and the corresponding parameters of the target well;

and the analysis and evaluation unit is used for obtaining the evaluation result of the applicability of the ground well based on an analytic hierarchy process and a multi-level fuzzy comprehensive evaluation method when the preliminary evaluation result of the applicability of the ground well meets the condition.

In some embodiments, the ticket evaluation unit is further configured to:

and when the preliminary evaluation result of the applicability of the ground well does not meet the condition, obtaining the applicability evaluation result of the ground well.

In some embodiments, the analysis and evaluation unit is configured to:

In some embodiments, the analysis evaluation unit, when calculating the weight of each index in the evaluation index system of surface well suitability based on an analytic hierarchy process, is configured to:

constructing a judgment matrix based on the hierarchical structure model;

and calculating the weight of each index in the evaluation index system of the surface well applicability based on the judgment matrix.

In some embodiments, the analysis evaluation unit, when scoring the surface well applicability based on a multi-level fuzzy comprehensive evaluation method and the weight set to obtain a quantitative score, is configured to:

determining a single-factor evaluation matrix;

In some embodiments, the coal seam group determination result comprises a single coal seam and a coal seam group, and the surface well suitability evaluation result comprises surface well suitability and surface well inapplicability; the pattern classification obtained by the pattern classification module comprises the following steps: the system comprises a single coal seam underground combined development mode, a single coal seam underground development mode, a coal seam group underground combined development mode and a coal seam group underground development mode.

In a third aspect, an embodiment of the present application provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executable by the at least one processor to enable the at least one processor to perform the method for classifying coal and coal bed methane coordinated development patterns according to the embodiments of the first aspect of the present application.

In a fourth aspect, embodiments of the present application provide a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method for classifying a coal and coal bed methane coordinated development pattern according to the embodiments of the first aspect of the present application.

In a fifth aspect, the present application provides a computer program product, which includes computer instructions, when executed by a processor, for implementing the steps of the method for classifying a coal and coal bed methane coordinated development pattern according to the embodiments of the first aspect of the present application.

The technical scheme provided by the embodiment of the application at least has the following beneficial effects:

the method comprises the steps of judging the coal bed group, evaluating the applicability of the ground well, classifying the coal and coal bed gas coordinated development mode based on the coal bed group judgment result and the ground well applicability evaluation result, solving the problem that the classification of the coal and coal bed gas coordinated development mode in a coal mine area is not clear, realizing the quantitative classification of the coal and coal bed gas coordinated development mode, and providing technical support for the efficient development of the coal and the coal bed gas. Meanwhile, a ground well applicability evaluation result is obtained based on an analytic hierarchy process and a multi-level fuzzy comprehensive evaluation method, and the reliability and effectiveness of the ground well applicability evaluation result are improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application and are not to be construed as limiting the application.

FIG. 1 is a flow chart illustrating a method for coal and coalbed methane coordinated development pattern classification in accordance with an exemplary embodiment.

FIG. 2 is a flow chart illustrating a method of evaluating surface well suitability according to an exemplary embodiment.

FIG. 3 is a flow chart illustrating a method for obtaining a surface well suitability evaluation result based on an analytic hierarchy process and a multi-level fuzzy synthesis evaluation method in accordance with an exemplary embodiment.

FIG. 4 is a schematic diagram illustrating an evaluation index system for surface well suitability according to an example.

FIG. 5 is a schematic diagram illustrating classification of coal and coalbed methane coordinated development patterns according to an example.

FIG. 6 is a block diagram illustrating a coal and coalbed methane coordinated development pattern classification apparatus according to an exemplary embodiment.

FIG. 7 is a block diagram of an electronic device shown in accordance with an example embodiment.

Detailed Description

The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

It should be noted that the terms "first", "second", and the like in this application are used for distinguishing similar objects, and do not necessarily have to be used for describing a particular order or sequence. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be implemented in sequences other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

In order to solve the problem that classification of a coal and coal bed gas coordinated development mode in a coal mining area is ambiguous in the prior art, the embodiment of the application provides a method, a device and a storage medium for classifying the coal and coal bed gas coordinated development mode.

The method, the device, the electronic equipment and the computer-readable storage medium for classifying the coal and coal bed gas coordinated development mode proposed according to the embodiment of the application are described below with reference to the accompanying drawings.

FIG. 1 is a flow chart of a method for classifying coal and coalbed methane coordinated development patterns according to one embodiment of the present application. It should be noted that the method for classifying the coal and coalbed methane coordinated development mode in the embodiment of the present application can be applied to the device for classifying the coal and coalbed methane coordinated development mode in the embodiment of the present application. The coal and coal bed gas coordinated development mode classification device can be configured on electronic equipment. As shown in FIG. 1, the method for classifying the coal and coal bed methane coordinated development mode can comprise the following steps.

S101, determining whether the adjacent coal seam under the target mine is a coal seam group or not, and obtaining a coal seam group judgment result.

S102, evaluating the applicability of the ground well to obtain an evaluation result of the applicability of the ground well;

s103, classifying the coal and coal bed gas coordinated development mode based on the coal bed group judgment result and the ground well applicability evaluation result.

According to the method, whether the adjacent coal seam under the target well is a coal seam group or not is judged, and then the applicability of the ground well is evaluated to obtain a quantitative evaluation result; the coal and coal bed gas coordinated development modes are classified according to the coal bed group judgment result of the target mining area and the applicability evaluation result of the ground well, the problem that the coal and coal bed gas coordinated development modes in the coal mining area are not classified clearly is solved, and a technical support is provided for efficient development of coal and coal bed gas.

In step S101, a method for determining whether an adjacent coal seam under a target mine is a coal seam group includes:

In this embodiment, based on the equivalent relative interval method, it is determined whether the adjacent coal seam under the target mine is a coal seam group, so as to obtain a coal seam group determination result.

It should be noted that the coal seam group is relative to a single coal seam, and is a coal field with multiple layers of coal.

Optionally, the method for determining whether the adjacent coal seam under the target mine is a coal seam group based on the equivalent relative interval method includes:

1a) Based on the spatial locations, equivalent relative interbedded distances between the adjacent coal seams are calculated.

In the embodiment of the application, the equivalent relative interlamellar spacing index is determined according to the spatial position relationship between two coal seams. Two adjacent coal seams are defined as an upper coal seam and a lower coal seam, and the equivalent relative interbedded spacing between the upper coal seam and the lower coal seam is two, respectively as follows:

equivalent relative interlamellar spacing of lower coal seam to upper coal seam

Calculated by the following formula:

（1）

equivalent relative interlamellar spacing of upper coal seam to lower coal seam

Calculated by the following formula:

（2）

in formulas (1) and (2):

s is expressed as the interlayer sag, m;

expressed as the dip angle coefficient of the coal seam,

and alpha is the coal bed inclination angle;

k is expressed as a roof management coefficient, 1 is taken when all the roof falls, 0.2 is taken when water and sand are filled, and 0.6 is taken when all the roof is filled or the roof is partially filled in other forms;

expressed as the coefficient of influence of mining height, when M is less than or equal to M0,

= M/M0, when M > M0,

=1；

m represents the coal seam mining thickness, M;

M ₀ expressed as the minimum effective thickness of the coal seam, m;

expressed as the interlayer hard rock content coefficient,

，

represents the percentage of hard rock in the interbedded rock,%.

1b) And when the equivalent relative layer spacing between the adjacent coal beds meets a first preset condition, judging the adjacent coal beds to be a coal bed group.

As an example, the first preset condition is the following formula:

1c) And when the equivalent relative interlamellar spacing between the adjacent coal seams does not meet a first preset condition, judging the adjacent coal seams to be single coal seams.

That is, if the equivalent relative interbed spacing of the lower seam to the upper seam is calculated

Then judge

Whether the first preset condition is met or not is judged, and if the first preset condition is met, the adjacent coal seam is judged to be a coal seam group; otherwise, judging that the adjacent coal seam is a single coal seam.

If the calculated equivalent relative interlayer spacing of the upper coal seam to the lower coal seam is obtained

Then judge

Whether the conditions are met or not, if so, judging that the adjacent coal seams are coal seam groups; otherwise, judging that the adjacent coal seam is a single coal seam.

The method is based on the equivalent relative interval method, whether the adjacent coal seam under the target mine is a coal seam group is determined, and the method is reliable and easy to implement.

In step S102, evaluating the surface well suitability to obtain a surface well suitability evaluation result, as shown in fig. 2, the method may include the following steps:

s201, obtaining a preliminary evaluation result of the applicability of the ground well based on a preset lowest applicable condition and corresponding parameters of the target well;

s202, when the preliminary evaluation result of the applicability of the ground well meets the condition, obtaining the applicability evaluation result of the ground well based on an analytic hierarchy process and a multi-level fuzzy comprehensive evaluation method.

S203, when the preliminary evaluation result of the applicability of the ground well is not satisfied with the condition, obtaining the evaluation result of the applicability of the ground well.

The method can be understood as that a preliminary evaluation result of the applicability of the ground well is obtained based on a preset lowest applicable condition and corresponding parameters of the target well; if the preset lowest applicable condition is not met, directly obtaining a preliminary evaluation result of the applicability of the ground well; and if the preset lowest applicable condition is met, further obtaining a ground well applicability evaluation result based on an analytic hierarchy process and a multi-level fuzzy comprehensive evaluation method.

In step S201, a preliminary evaluation result of the applicability of the surface well is obtained based on a preset minimum applicable condition and the corresponding parameter of the target well.

The method is based on the preset lowest applicable condition, and otherwise, the applicability of the ground well is evaluated, and an otherwise evaluation result is obtained. The minimum applicable condition can be understood as a single negative condition, and if the following single negative condition is not met, the result of evaluating the applicability of the ground well is directly obtained, namely the coal bed methane exploitation of the target mine is not applicable to the ground well.

In this embodiment, the minimum condition for the surface well suitability determination is established, i.e., a negative condition is selected as follows:

(a) The single-layer thickness of the coal seam is less than 1m;

(b) The buried depth is less than 200m or more than 1500m;

(c) The thickness of the overlying effective layer is less than 200m;

(d) The gas content of the coal with high metamorphism degree is less than 4m3/t;

(e) The coal of type III and type IV in the coal structure accounts for more than 80 percent, and the top and bottom plates are compact thick mudstone;

(f) The hydrocarbon generation history, the buried history and the construction history are not matched in relation.

The (a), (b), (c) and (d) are mainly focused on the economy of the ground well, the (e) and (f) are mainly focused on the effectiveness of the ground well, and from the aspects of economy and effectiveness, a rule of else condition of the applicability of the ground well is set, namely, a preliminary evaluation result of the applicability of the ground well is obtained by judging whether the minimum applicable condition of the ground well is met, if the minimum applicable condition is not met, a final evaluation result of the applicability of the ground well is obtained according to the preliminary evaluation result of the applicability of the ground well, and the method is not used for further evaluation through a complex evaluation method, simple and easy to implement.

In step S202, a surface well applicability evaluation result is obtained based on an analytic hierarchy process and a multi-level fuzzy comprehensive evaluation method, as shown in fig. 3, the method may include the following steps:

s301, obtaining an evaluation index system of the applicability of the ground well, wherein the evaluation index system comprises a plurality of levels of indexes with progressive relation.

S302, calculating the weight of each index in the evaluation index system of the ground well applicability based on an analytic hierarchy process to obtain a weight set.

And S303, scoring the applicability of the ground well based on a multi-level fuzzy comprehensive evaluation method and the weight set to obtain a quantitative score.

And S304, obtaining a surface well applicability evaluation result based on the quantitative score.

In the embodiment, the weight of the evaluation index of the ground well applicability is firstly obtained through an analytic hierarchy process, the ground well applicability is graded through combining a fuzzy comprehensive evaluation method to obtain a quantitative score, and a conclusion whether the ground well is applicable or not is obtained according to the quantitative score.

In step S301, an evaluation index system of the surface well suitability is obtained, the evaluation index system including a plurality of levels of indexes having a progressive relationship.

As an example, the evaluation index system for the applicability of the surface well (i.e. the evaluation index system for the applicability of the coal bed gas well in the figure) includes two-stage indexes, as shown in fig. 4, a second-stage index is correspondingly arranged below the first-stage index, the first-stage index includes the amount of coal bed gas recoverable resources, the hydrological and geological conditions, the stability of the well bore and the topographic conditions, wherein the amount of coal bed gas recoverable resources, the hydrological and geological conditions and the stability of the well bore all have corresponding second-stage indexes, the amount of coal bed gas recoverable resources includes second-stage indexes including the thickness and the depth of burial, the gas-containing area and the gas-containing amount of the coal bed gas, the second-stage indexes including the hydromechanical conditions and the geological conditions, and the second-stage indexes including the stability of the well bore include the coal body structure, the ground stress and the chemical factors.

In step S302, based on an analytic hierarchy process, calculating a weight of each index in the evaluation index system of the surface well applicability to obtain a weight set, including the following steps:

analytic Hierarchy Process (AHP) is a qualitative and quantitative combined decision analysis method for solving multi-target complex problems. The method combines quantitative analysis and qualitative analysis, judges the relative importance degree between standards whether each measurement target can be realized or not by the experience of a decision maker, reasonably gives the weight of each standard of each decision scheme, and utilizes the weight to calculate the quality sequence of each scheme.

The basic idea of the analytic hierarchy process is to stratify the problem to be analyzed; according to the nature of the problem and the general target to be achieved, the problem is decomposed into different composition factors, and the factors are aggregated and combined according to different levels according to the correlation influence and the subordination relation of the factors to form a multi-level analysis structure model. And finally, comparing the quality of the problems and arranging the problems.

2a) And establishing a hierarchical structure model based on the evaluation index system of the ground well applicability.

And establishing a hierarchical structure model based on an evaluation index system comprising multi-level evaluation indexes.

Taking the evaluation index system shown in fig. 4 as an example for explanation, the second-level index is used as the lowest layer (plan layer), the first-level index is used as the middle layer (criterion layer), and the judgment of the applicability of the surface well is used as the total target of the highest layer (target layer). The target layer is the purpose of decision making, the criterion layer is the factor to be considered, and the scheme layer is the alternative scheme in decision making.

The criteria layer includes factors including the amount of coalbed methane recoverable resources, hydrological and geological conditions, wellbore stability, and topographical conditions. Factors included in the solution layer include coal seam thickness and burial depth, gas bearing area, gas content, hydrodynamic conditions, geological formation conditions, coal structure, ground stress and chemical factors.

2b) And constructing a judgment matrix based on the hierarchical structure model.

The method for constructing the judgment matrix in the analytic hierarchy process is a consistent matrix method, namely: all factors are not compared together, but are compared with each other two by two; relative dimensions are adopted at this time to reduce the difficulty of comparing different factors of the properties with each other as much as possible so as to improve the accuracy.

And constructing a judgment matrix for judging the parameters of each two, wherein the judgment matrix is formed by comparing the importance of all factors (corresponding indexes) of the level on the influence of one factor of the previous layer.

Based on the hierarchical model, multiple decision matrices may be constructed.

As an example, a decision matrix A is constructed as follows:

elements of matrix A

A value representing the relative importance of element i to element j: (

) The relative importance value may be determined from a calibration table.

This example gives a quantitative calculation of the decision matrix by means of a scale table, in which the meaning of the scale is shown in table 1 below.

Table 1:

scale	Means of
		1	Showing that the two factors have the same importance
3	Indicating that one factor is slightly more important than another factor compared to 2
		5	Indicating that one factor is significantly more important than the other than 2 factors
7	Indicating that one factor is more important than another factor compared to 2 factors
		9	Indicating that one factor is extremely important over the other factor compared to 2
2、4、6、8	Median value of the above two new forest judgments
		Reciprocal of the	The judgment aij of the comparison of the factors i and j, then the judgment of the comparison of the factors j and i, aji =1/aij

For convenience of understanding, an example is given, and a process of determining the weight by selecting the coal seam thickness, the gas containing area and the gas content in the coalbed methane recoverable resource index is described.

The thickness of the coal bed, the gas containing area and the gas content are respectively set as xl, x2 and x3, two coal bed thickness, gas containing area and gas content are compared with each other, and on the basis of research before synthesis, the gas content is slightly more important than the coal thickness, the gas containing area is slightly more important than the coal thickness and the gas content is slightly more important than the gas containing area for the influence of the coal bed gas resource content. Query scalar table 2 is consulted to obtain a decision matrix R.

Table 2:

the resulting decision matrix R is as follows:

2c) And calculating the weight of each index in the evaluation index system of the ground well applicability based on the judgment matrix.

After determining the judgment matrix of multiple factors, the hierarchical single ordering and the consistency check thereof need to be carried out.

And solving the single-level sequencing weight vector of the judgment matrix by using a square root method, and carrying out normalization processing on the sequencing weight vector.

The eigenvector corresponding to the maximum characteristic root λ of the judgment matrix a is normalized (the sum of each element in the vector is 1), and then is denoted as W, and the element of W is the ranking weight of the relative importance of the same level element to a certain factor in the previous level factor.

W(=1)

w1, w2, \ 8230, wn can be used as a sequencing vector;

order to

And comparing in pairs, and then judging that the matrix A is expressed as:

for the consistency of the matrix, the rank of the matrix A is required to be 1, the only non-zero characteristic root of the matrix A is n, and the characteristic vector corresponding to the non-zero characteristic root n can be used as a weight vector after being normalized, namely, the matrix A meets the requirement that

。

For a non-uniform pairwise comparison matrix a, the eigenvector corresponding to the largest eigenroot λ may be used as the weight vector w, i.e.:

when constructing the decision matrix, there is a possibility that a logical error occurs, for example, A1 is more important than A2, A2 is more important than A3, but A3 is more important than A1. Therefore, a consistency check is needed to determine whether the matrix is problematic. To verify the consistency of the matrix, a matrix consistency index is definedCIThe following were used:

wherein, the first and the second end of the pipe are connected with each other,CI=0, there is complete consistency;CIclose to 0, there is satisfactory consistency;CIthe larger the inconsistency, the more severe the inconsistency.

To measureCIThe size of the index is 500 judgment matrixes A1, A2, \ 8230, and the consistency index CI can be obtained by A500 ₁ ，CI ₂ ，…，CI ₅₀₀ . Defining a random consistency indexRI：

Index of random consistencyRIThis can be queried by table 3 below.

Table 3:

defining a consistency ratioCR：

When the consistency ratio isCRIf the number is less than 0.1, the consistency of the judgment matrix A is judged to pass the check (namely the matrix A has consistency), and the normalized feature vector can be used as a weight vector. Otherwise, the judgment matrix needs to be reconstructed, and the judgment matrix is aligned to the matrix A

And adjusting until the consistency is checked to pass.

And calculating the relative importance weight of all factors of the lowest level to the highest level, namely total ranking of the levels, wherein the process is performed from the highest level to the lowest level in sequence.

Total ordering of computation levels and consistency check thereofCR：

Wherein the content of the first and second substances,

is a factor A _m For the ordering of the total target, the corresponding level list ordering consistency index is

The corresponding random consistency index is

。

If it isCRIf the weight vector is less than 0.1, the decision can be made according to the result represented by the total ordered weight vector, otherwise, the judgment matrix for pairwise comparison with a larger consistency ratio needs to be constructed again.

In the embodiment of the application, the maximum characteristic root lambda is obtained through calculation, and a consistency index calculation formula is used for solvingCILooking up the table to obtain a random consistency indexRIThen, the consistency ratio is calculatedCRAnd finally, solving the weight of each index in an evaluation index system of the applicability of the ground well.

After the weight of each index in an evaluation index system of the ground well applicability is determined through an analytic hierarchy process, the ground well applicability can be scored based on a multi-level fuzzy comprehensive evaluation method.

The fuzzy comprehensive evaluation method is a comprehensive evaluation method based on fuzzy mathematics. The comprehensive evaluation method converts qualitative evaluation into quantitative evaluation according to the membership theory of fuzzy mathematics, namely, the fuzzy mathematics is used for making overall evaluation on objects or objects restricted by various factors. The method has the characteristics of clear result and strong systematicness, can better solve the problems of fuzziness and difficult quantization, and is suitable for solving various non-determinacy problems.

In step S303, based on the multi-level fuzzy comprehensive evaluation method and the weight set, scoring the applicability of the surface well to obtain a quantitative score, including:

3a) And determining a single-factor evaluation matrix.

3b) And synthesizing the single-factor evaluation matrix and the weight set to obtain the comprehensive evaluation of the applicability of the surface well.

3c) And normalizing the comprehensive evaluation of the applicability of the ground well, and quantizing the normalized comprehensive evaluation of the applicability of the ground well to obtain a quantized score.

In step 3 a), a one-factor evaluation matrix is determined, comprising the steps of:

(1) Establishing a set of evaluation factors, wherein the evaluation factors comprise,

a hierarchical model has been built based on the evaluation index system for surface well applicability, where a set of evaluation factors is built based on a tomographic model.

Taking the two-level index shown in fig. 4 as an example, the evaluation factor set is established as follows:

u = { U1, U2, U3, U4} = { coalbed methane recoverable resource amount, hydrological and geological conditions, borehole stability and topographic conditions };

u1= { U11, U12, U13} = { coal seam thickness and buried depth, gas-containing area, gas-containing amount };

u2= { U21, U22} = { hydrodynamic condition, geological formation condition };

u3= { U31, U32, U33 } = { coal structure, ground stress, chemical factor };

(2) Establishing a set of factor comments

The classification of the ranks is different, and the evaluation hierarchy is also different, and in this example, the evaluation rank is divided into 4 ranks, for example, V = { V1, V2, V3, V4} = { fit, general, not fit } = {90, 80, 60, 30}. {90, 80, 60, 30} can be understood as four levels of index values.

(3) And establishing a single-factor evaluation matrix.

According to empirical data, the membership degree of each evaluation factor to the important level is obtained through analysis of each evaluation factor in the evaluation factor set, and a single-factor evaluation matrix is established.

For example, a one-factor evaluation matrix is determinedRThe following:

in step 3 b), a one-factor evaluation matrix is synthesizedRAnd weight setMObtaining a comprehensive evaluation of the applicability of the surface wellBThe following:

the weight herein refers to the position and importance of the evaluation factor.

In step 3 c), forBCarrying out normalization processing to obtain:

obtained by normalization

Multiplying the index values {90, 80, 60 and 30} of the four levels to obtain the final quantization score.

In step S304, optionally, the obtained quantitative score is compared with a preset suitability rating to obtain a final surface well suitability evaluation result.

As an example, the suitability rating is shown in Table 4 below.

Table 4:

as an example, a quantified score of 80 points and above is applicable for a surface well, and a quantified score of less than 80 points is not applicable for a surface well.

In this embodiment, firstly, an analytic hierarchy process is adopted to perform weight calculation on indexes in an evaluation index system of the applicability of a ground well to form a weight set; and then, an evaluation matrix is formed by combining a fuzzy comprehensive evaluation method with the hierarchical evaluation of the vector set on the applicability of the ground well, and finally, a ground well applicability evaluation result is obtained through calculation, and the reliability of the evaluation result is high.

In step S103, classifying the coal and coal bed methane coordinated development pattern based on the coal bed group determination result and the surface well suitability evaluation result.

The applicability of the ground well is quantitatively evaluated based on an analytic hierarchy process and a multi-level fuzzy comprehensive evaluation method, so that an evaluation result of the applicability of the ground well is obtained, and the reliability and the effectiveness of the evaluation result of the applicability of the ground well are improved.

As shown in fig. 5, in this embodiment, the coal seam group determination result includes a single coal seam and a coal seam group, and the surface well suitability evaluation result includes surface well suitability and surface well unsuitability. Based on the coal bed group judgment result and the ground well applicability evaluation result, the coal and coal bed gas coordinated development mode is divided into 4 types, which are respectively: the system comprises a single coal seam underground combined development mode, a single coal seam underground development mode, a coal seam group underground combined development mode and a coal seam group underground development mode.

After the coal and coal bed gas coordinated development modes are classified, when the development mode is selected for a target mine, a proper development mode can be selected. For example, when a development mode is selected for a target mine, the development modes in 4 are quantitatively scored according to the relevant parameters of the target mine, and a development mode with a high score is selected for development.

According to the method for classifying the coal and coal bed gas coordinated development modes, the coal bed group is judged, the applicability of the ground well is evaluated, the coal and coal bed gas coordinated development modes are classified based on the coal bed group judgment result and the ground well applicability evaluation result, the problem that the classification of the coal and coal bed gas coordinated development modes in a coal mine area is ambiguous is solved, quantitative classification of the coal and coal bed gas coordinated development modes is achieved, appropriate development modes can be selected for different target mines under the condition that the classification of the development modes is definite, and technical support is provided for efficient development of coal and coal bed gas. Meanwhile, a ground well applicability evaluation result is obtained based on an analytic hierarchy process and a multi-level fuzzy comprehensive evaluation method, and the reliability and effectiveness of the ground well applicability evaluation result are improved.

As an implementation of the method for classifying a coordinated development mode of coal and coalbed methane in the foregoing embodiment, the present application also provides an embodiment of a virtual device for implementing the method for classifying a coordinated development mode of coal and coalbed methane, and further refer to fig. 6, which shows a schematic structural diagram of the device for classifying a coordinated development mode of coal and coalbed methane provided in the embodiment of the present application. As shown in fig. 6, the coal and coal bed gas coordinated development pattern classification device may include: a coal bed determination module 601, a suitability evaluation module 602, and a pattern classification module 603.

The coal bed determining module 601 is configured to determine whether an adjacent coal bed under a target mine is a coal bed group, and obtain a coal bed group determination result;

the applicability evaluation module 602 is configured to evaluate applicability of the ground well to obtain a result of evaluating the applicability of the ground well;

and the mode classification module 603 is configured to classify the coal and coal bed methane coordinated development mode based on the coal bed group determination result and the ground well applicability evaluation result.

In some embodiments of the present application, the coal seam determination module 601 is configured to:

In some embodiments of the present application, the coal seam determining module 601 is specifically configured to:

In some embodiments of the present application, the suitability evaluation module 602 includes:

a ticket evaluation unit 604, configured to obtain a preliminary evaluation result of the applicability of the ground well based on a preset minimum applicable condition and a corresponding parameter of the target mine;

and the analysis and evaluation unit 605 is configured to obtain a ground well applicability evaluation result based on an analytic hierarchy process and a multi-level fuzzy comprehensive evaluation method when the preliminary evaluation result of the ground well applicability satisfies a condition.

In some embodiments of the present application, the ticket evaluation unit 604 is further configured to:

In some embodiments of the present application, the analysis and evaluation unit 605 is configured to:

acquiring an evaluation index system of the applicability of the ground well, wherein the evaluation index system comprises a plurality of levels of indexes with progressive relation;

In some embodiments of the present application, the analysis and evaluation unit 605, when calculating the weight of each index in the evaluation index system of the surface well applicability based on the analytic hierarchy process, is configured to:

constructing a judgment matrix based on the hierarchical structure model;

In some embodiments of the present application, the analysis and evaluation unit 605, when scoring the surface well applicability based on the multi-level fuzzy comprehensive evaluation method and the weight set to obtain a quantitative score, is configured to:

determining a single-factor evaluation matrix;

In some embodiments of the present application, the coal seam group determination result includes a single coal seam and a coal seam group, and the surface well suitability evaluation result includes surface well suitability and surface well unsuitability; the pattern classification obtained by the pattern classification module 603 includes: the system comprises a single coal seam underground combined development mode, a single coal seam underground development mode, a coal seam group underground combined development mode and a coal seam group underground development mode.

With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

According to the coal and coal bed gas coordinated development mode classification device, the coal bed group is judged, the applicability of the ground well is evaluated, the coal and coal bed gas coordinated development mode is classified based on the coal bed group judgment result and the ground well applicability evaluation result, the problem that the classification of the coal and coal bed gas coordinated development mode in a coal mine area is ambiguous is solved, the quantitative classification of the coal and coal bed gas coordinated development mode is realized, and the technical support is provided for the efficient development of the coal and coal bed gas. Meanwhile, a ground well applicability evaluation result is obtained based on an analytic hierarchy process and a multi-level fuzzy comprehensive evaluation method, and the reliability and effectiveness of the ground well applicability evaluation result are improved.

According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.

Fig. 7 is a block diagram of an electronic device of a method for classifying coal and coal bed methane coordinated development modes according to an embodiment of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.

As shown in fig. 7, the electronic apparatus includes: one or more processors 701, a memory 702, and interfaces for connecting the various components, including a high-speed interface and a low-speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing some of the necessary operations (e.g., as an array of servers, a group of blade servers, or a multi-processor system). In fig. 7, one processor 701 is taken as an example.

The memory 702 is a non-transitory computer readable storage medium as provided herein. Wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method for coal and coal bed methane coordinated development pattern classification provided herein. A non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to perform the method of coal and coal bed gas harmonized development pattern classification provided herein.

Memory 702, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules (e.g., coal bed determination module 601, applicability evaluation module 602, and pattern classification module 603) corresponding to the methods for the coordinated development of pattern classification for coal and coalbed methane in embodiments of the present application. The processor 701 executes various functional applications of the server and data processing by running non-transitory software programs, instructions and modules stored in the memory 702, so as to implement the method for classifying the coal and coal bed methane coordinated development pattern in the above method embodiment.

The memory 702 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of electronic devices classified according to coal and coalbed methane coordinated development patterns, and the like. Further, the memory 702 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 702 may optionally include memory remotely located from the processor 701, and such remote memory may be connected via a network to electronics for coordinated development of the pattern classification with the coal and coal bed gas. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The electronic device of the method for classifying the coal and coal bed gas coordinated development mode can further comprise: an input device 703 and an output device 704. The processor 701, the memory 702, the input device 703 and the output device 704 may be connected by a bus or other means, and fig. 7 illustrates an example of a connection by a bus.

The input device 703 may receive input numeric or character information and generate key signal inputs related to user settings and function controls of the electronic equipment for coal and coal bed methane coordinated development mode classification, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, and the like. The output devices 704 may include a display device, auxiliary lighting devices (e.g., LEDs), and tactile feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.

Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), the Internet, and blockchain networks.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server may be a cloud Server, also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service extensibility in a traditional physical host and VPS service ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server incorporating a blockchain.

In an exemplary embodiment, a computer program product is also provided, where the computer program product includes a computer program stored in a computer-readable storage medium, and at least one processor can read the computer program from the computer-readable storage medium, and when the computer program is executed by the at least one processor, the technical solution of the method for classifying a coal and coal bed methane coordinated development pattern in the foregoing embodiments can be implemented.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present application can be achieved.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only.

It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims

1. A coal and coalbed methane coordinated development mode classification method is characterized by comprising the following steps:

classifying the coal and coal bed gas coordinated development mode based on the coal bed group judgment result and the ground well applicability evaluation result;

the determining whether the adjacent coal seam under the target mine is a coal seam group comprises the following steps:

determining whether the adjacent coal bed under the target mine is a coal bed group or not based on an equivalent relative interval method;

the method for determining whether the adjacent coal seam under the target mine is a coal seam group or not based on the equivalent relative interval method comprises the following steps:

when the equivalent relative interlamellar spacing between the adjacent coal seams does not meet a first preset condition, judging that the adjacent coal seams are single coal seams;

calculating an equivalent relative interlamellar spacing between the adjacent coal seams based on the spatial locations, comprising:

defining two adjacent coal seams as an upper coal seam and a lower coal seam, there are two equivalent relative interbedded distances between the upper coal seam and the lower coal seam, respectively as follows:

equivalent relative interlamellar spacing of the lower coal seam to the upper coal seam

Calculated by the following formula:

（1）

equivalent relative interlamellar spacing of the upper coal seam to the lower coal seam

Calculated by the following formula:

（2）

wherein S represents the inter-layer sag,

expressed as the dip angle coefficient of the coal bed,

alpha is the coal seam dip angle, K is the roof management coefficient, M is the coal seam mining thickness,

expressed as the coefficient of influence of the mining height,

expressed as the interbedded hard rock content coefficient,

，

representing the percentage of hard rock in the interbedded rock.

2. The method of claim 1, wherein the evaluating surface well suitability for obtaining a surface well suitability evaluation comprises:

3. The method of claim 2, wherein the evaluating surface well suitability results in a surface well suitability evaluation, further comprising:

4. The method of claim 2, wherein obtaining the surface well suitability evaluation result based on the analytic hierarchy process and the multi-level fuzzy comprehensive evaluation method comprises:

based on a multi-level fuzzy comprehensive evaluation method and the weight set, the applicability of the ground well is graded to obtain a quantitative score;

and obtaining a surface well applicability evaluation result based on the quantitative score.

5. The method of claim 4, wherein calculating the weight for each indicator in the evaluation index system of surface well suitability based on the analytic hierarchy process comprises:

constructing a judgment matrix based on the hierarchical structure model;

6. The method of claim 4, wherein scoring the surface well suitability based on a multi-level fuzzy synthesis evaluation method and the weight set to obtain a quantitative score comprises:

determining a single-factor evaluation matrix;

7. The method of claim 2, wherein the coal seam group determination comprises a single coal seam and a coal seam group, and the surface well suitability evaluation comprises surface well suitability and surface well unsuitability; the mode classification obtained by classifying the coal and coal bed gas coordinated development mode based on the coal bed group judgment result and the ground well applicability evaluation result comprises the following steps: the system comprises a single coal seam underground combined development mode, a single coal seam underground development mode, a coal seam group underground combined development mode and a coal seam group underground development mode.

8. A coal and coalbed methane coordinated development mode classification device is characterized by comprising:

the applicability evaluation module is used for evaluating the applicability of the ground well to obtain an applicability evaluation result of the ground well;

the mode classification module is used for classifying the coal and coal bed gas coordinated development mode based on the coal bed group judgment result and the ground well applicability evaluation result;

the coal seam determination module is configured to:

the coal bed determination module is specifically configured to:

Calculated by the following formula:

（1）

Calculated by the following formula:

（2）

wherein, S is expressed as the interlayer sag,

expressed as the dip angle coefficient of the coal seam,

expressed as the coefficient of influence of the mining height,

expressed as the interlayer hard rock content coefficient,

，

representing the percentage of hard rock in the interbedded rock.

9. The apparatus of claim 8, wherein the suitability evaluation module comprises:

the ticket evaluation unit is used for obtaining a preliminary evaluation result of the applicability of the ground well based on preset minimum applicable conditions and corresponding parameters of the target well;

10. The apparatus of claim 9, wherein the ticket evaluation unit is further configured to:

11. The apparatus according to claim 9, characterized in that the analysis and evaluation unit is configured to:

12. The apparatus of claim 11, wherein the analysis and evaluation unit, when calculating the weight for each indicator in the evaluation index system of surface well suitability based on an analytic hierarchy process, is configured to:

constructing a judgment matrix based on the hierarchical structure model;

13. The apparatus of claim 11, wherein the analysis and evaluation unit, when scoring the surface well suitability based on a multi-level fuzzy synthesis method and the weight set to obtain a quantitative score, is configured to:

determining a single-factor evaluation matrix;

14. The apparatus of claim 8, wherein the coal seam group determination result comprises a single coal seam and a coal seam group, and the surface well suitability evaluation result comprises surface well suitability and surface well unsuitability; the pattern classification obtained by the pattern classification module comprises the following steps: the system comprises a single coal seam underground combined development mode, a single coal seam underground development mode, a coal seam group underground combined development mode and a coal seam group underground development mode.

15. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method of coal and coalbed methane coordinated development pattern classification of any of claims 1-7.

16. A non-transitory computer readable storage medium having computer instructions stored thereon for causing a computer to perform the method of coal and coalbed methane harmonized development pattern classification of any of claims 1 to 7.

17. A computer program product comprising computer program/instructions, characterized in that the computer program/instructions, when executed by a processor, implement the steps of the method of any of claims 1 to 7.