Water pressure coal gas permeability control method

Abstract

The application discloses a water pressure coal gas unloading permeability control method, and belongs to the technical field of mine supervision; and aims to solve the technical problem of poor flexibility and diversity of water pressure coal gas unloading permeability autonomous supervision control in the prior art; the local implementation state of water pressure coal gas unloading permeability is periodically digitized and analyzed, the local implementation abnormality degree of the basic monitoring cycle is traced back and analyzed according to the local implementation abnormality instruction obtained by analysis, and the basic monitoring cycle is dynamically adjusted and the implementation parameters of water pressure coal gas unloading permeability are adjusted according to the tracing analysis result; the monitoring data after the basic monitoring cycle is adjusted and the implementation parameters of water pressure coal gas unloading permeability are adjusted is traced back and processed and evaluated, and the implementation of water pressure coal gas unloading permeability is dynamically controlled according to the tracing processing and evaluation result.

Description

Technical Field

[0001] This invention relates to the field of mine monitoring technology, specifically to a method for controlling gas permeability during hydraulic coal unloading. Background Technology

[0002] Hydraulic unloading gas permeability enhancement technology is a technology used to improve the efficiency of coal seam gas extraction. Its core lies in improving the permeability of the coal seam through hydraulic action, thereby promoting the flow and extraction of gas. This method is usually applied to low-permeability coal seams, that is, those coal seams where gas is difficult to be extracted through natural permeability due to geological structure or other reasons.

[0003] While hydraulic coal unloading gas permeability enhancement control technology can effectively improve coal seam permeability and gas extraction efficiency, it still faces some challenges and shortcomings in practical applications. Existing hydraulic coal unloading gas permeability enhancement control schemes cannot conduct periodic monitoring and analysis of the implementation process, nor can they adaptively and dynamically adjust the subsequent implementation of hydraulic coal unloading gas permeability enhancement based on the results of periodic monitoring and analysis. This results in poor flexibility and diversity in the autonomous monitoring and control of hydraulic coal unloading gas permeability enhancement. Summary of the Invention

[0004] The purpose of this invention is to provide a method for controlling gas permeability enhancement in hydraulic coal unloading, which solves the technical problem of poor flexibility and diversity in the autonomous monitoring and control of gas permeability enhancement in existing solutions.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] A method for controlling gas permeability during hydraulic coal unloading includes:

[0007] Obtain the geological data corresponding to the implementation of hydraulic coal unloading and gas permeability enhancement, and standardize the geological data to obtain the corresponding standard control data;

[0008] The entire process of implementing hydraulic coal unloading gas permeability enhancement is periodically monitored and evaluated, and the basic monitoring cycle and implementation parameters of hydraulic coal unloading gas permeability enhancement are adaptively and dynamically adjusted based on the evaluation results.

[0009] The monitoring data after adjusting the basic monitoring cycle and the implementation parameters of hydraulic coal unloading gas permeability enhancement are traced and evaluated, and the implementation of hydraulic coal unloading gas permeability enhancement is dynamically controlled adaptively based on the traced evaluation results.

[0010] Preferably, when monitoring the geology corresponding to the implementation of hydraulic coal unloading and gas permeability enhancement, the underground location of the coal seam, as well as the physical properties and vertical thickness of the coal seam, are obtained.

[0011] To determine whether there are any influencing targets in the coal seam, as well as their corresponding locations and vertical thicknesses; influencing targets include fractures, faults, and folds;

[0012] Obtain the physical properties of the rocks above and below the coal seam, as well as the corresponding vertical rock thickness;

[0013] The geological data are obtained by sorting and combining the various monitoring and statistical data.

[0014] When standardizing geological data, based on all historical construction data of the coal seam, the target of impact, and the rock corresponding to the implementation of hydraulic unloading gas permeability enhancement, the standard permeability corresponding to different construction timestamps is obtained when hydraulic unloading gas permeability enhancement is implemented in the construction geology.

[0015] Standard control data are obtained by arranging and combining the standard permeability corresponding to different construction timestamps in chronological order.

[0016] Preferably, when the hydraulic coal unloading gas permeability enhancement is implemented, the change in permeability is monitored and statistically analyzed in real time. When the permeability changes, a regulatory instruction is generated, and the initial change timestamp corresponding to the change in permeability is obtained according to the regulatory instruction, and the change evaluation timestamp corresponding to the evaluation is obtained according to the monitoring duration corresponding to the preset basic monitoring cycle.

[0017] When the real-time Beijing time is the change assessment timestamp, an assessment instruction is generated, and the monitoring penetration rate JLi corresponding to the change assessment timestamp is obtained according to the assessment instruction, i=1,2,3,...,n; n is a positive integer; i is a different change assessment timestamp; and the implementation validity corresponding to the change assessment timestamp is calculated by the implementation validity formula.

[0018] The local implementation status of the gas permeation enhancement through hydraulic coal unloading was analyzed based on the implementation effectiveness and the corresponding timestamp of the change assessment.

[0019] If the implementation degree is 0, a local implementation normal instruction will be generated and the existing monitoring and analysis scheme will be maintained for the next basic monitoring cycle.

[0020] If the implementation degree is not 0, a local implementation exception instruction will be generated.

[0021] Preferably, the effective formula is as follows: In the formula, KXi is the implementation validity corresponding to the change assessment time stamp; JLi0 is the standard penetration rate corresponding to the change assessment time stamp; and U is the standard error rate range.

[0022] Preferably, the abnormal instruction is implemented locally via a formula. Calculate and obtain the implementation anomaly degree SYi of the hydraulic coal unloading gas permeability enhancement corresponding to the evaluation timestamp of the change; where, This represents the maximum value within the standard error rate range.

[0023] When determining the degree of local implementation anomaly of hydraulic coal unloading gas permeability enhancement corresponding to the change assessment timestamp based on the degree of implementation anomaly, the degree of implementation anomaly is analyzed and the basic monitoring cycle and implementation parameters of hydraulic coal unloading gas permeability enhancement are adaptively and dynamically adjusted.

[0024] Preferably, if the implementation anomaly degree is less than or equal to 0, a mild anomaly instruction is generated and prompted, and the duration of the basic monitoring cycle is shortened according to the severe anomaly instruction for subsequent monitoring.

[0025] If the anomaly level is greater than 0, a severe anomaly instruction will be generated and a prompt will be displayed. At the same time, the duration of the basic monitoring cycle will be shortened according to the severe anomaly instruction for subsequent monitoring, and the implementation parameters for water pressure unloading coal gas permeability enhancement will be adjusted.

[0026] Preferably, when performing retrospective processing and evaluation on the adjusted monitoring data, the monitoring penetration rate of the subsequent change evaluation timestamps of the adjusted basic monitoring cycle is statistically analyzed, and the retrospective implementation validity corresponding to the change evaluation timestamp is calculated by implementing an effective formula. The retrospective implementation validity is then analyzed, and the implementation of water pressure unloading coal gas permeability enhancement is dynamically controlled adaptively.

[0027] Preferably, if the retrospective validity is 0, the existing adjustment implementation plan is maintained;

[0028] If the retrospective implementation validity is not 0, the subsequent implementation of water pressure coal unloading gas permeability enhancement will be suspended and a new construction plan will be formulated.

[0029] Compared to existing solutions, the beneficial effects achieved by this invention are:

[0030] This invention provides reliable standardized data support for the periodic monitoring, data processing, and evaluation of the entire process of implementing hydraulic coal unloading gas permeability enhancement by monitoring, statistically analyzing, and processing data from the perspective of the coal seam object where hydraulic coal unloading gas permeability enhancement is implemented.

[0031] This invention performs periodic digital processing and computational analysis on the local implementation status of hydraulic coal unloading gas permeation enhancement. Based on the local implementation anomaly commands obtained from the analysis, it traces the degree of local implementation anomaly in the basic monitoring cycle and adaptively and dynamically adjusts the basic monitoring cycle and the implementation parameters of hydraulic coal unloading gas permeation enhancement according to the traceability analysis results. This enables autonomous optimization and adjustment for different anomaly situations to meet different anomaly monitoring needs, improving the flexibility and reliability of autonomous monitoring and control of hydraulic coal unloading gas permeation enhancement during local implementation anomaly monitoring.

[0032] This invention performs traceability processing and evaluation on monitoring data after adjusting the basic monitoring cycle and the implementation parameters of hydraulic coal unloading gas permeability enhancement. Based on the traceability processing and evaluation results, it adaptively and dynamically controls the implementation of hydraulic coal unloading gas permeability enhancement. This enables traceability supervision and control of the adjustment effect after autonomous optimization adjustment under different abnormal conditions, improving the flexibility and diversity of autonomous supervision and control of hydraulic coal unloading gas permeability enhancement when monitoring abnormal adjustments in local implementation. Attached Figure Description

[0033] The invention will now be further described with reference to the accompanying drawings.

[0034] Figure 1 This is a flowchart of a method for controlling gas permeability during hydraulic coal unloading according to the present invention. Detailed Implementation

[0035] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0036] like Figure 1 As shown, this invention is a method for controlling gas permeability during hydraulic coal unloading, comprising:

[0037] Obtain the geological data corresponding to the implementation of hydraulic coal unloading and gas permeability enhancement, and standardize the geological data to obtain the corresponding standard control data;

[0038] Among them, when monitoring the geology corresponding to the implementation of hydraulic coal unloading and gas permeability enhancement, the underground location of the coal seam, as well as the physical properties and vertical thickness of the coal seam are obtained.

[0039] Furthermore, the underground location of the coal seam can be represented by the existing geological coordinate system, and the determination of the underground location of the coal seam can be achieved by existing geological exploration technology. The specific implementation steps are not elaborated here. In the embodiments of this invention, the units of the vertical thickness of the coal seam and the subsequent vertical thickness of the influencing rock are all meters.

[0040] The presence of influencing targets in the coal seam, along with their corresponding locations and vertical thicknesses, is determined. These targets include fractures, faults, and folds. The existence of influencing targets in the coal seam can also be determined using existing geological exploration techniques.

[0041] It should be explained that the target of influence can affect the direction and distribution of fractures, thus affecting the fracturing effect. Therefore, in this embodiment of the invention, data monitoring and statistics on coal seams and target of influence can effectively improve the accuracy of subsequent data processing and analysis.

[0042] Obtain the physical properties of the rocks above and below the coal seam, as well as the corresponding vertical rock thickness;

[0043] The geological data are obtained by sorting and combining the various monitoring and statistical data.

[0044] When standardizing geological data, based on all historical construction data of the coal seam, the target of impact, and the rock corresponding to the implementation of hydraulic unloading gas permeability enhancement, the standard permeability corresponding to different construction timestamps is obtained when hydraulic unloading gas permeability enhancement is implemented in the construction geology.

[0045] The standard permeability corresponding to different construction timestamps is arranged and combined in chronological order to obtain standard control data;

[0046] In this embodiment of the invention, by monitoring, statistically analyzing, and processing data from the perspective of the coal seam object implementing hydraulic unloading gas permeability enhancement, reliable standardized data support can be provided for the periodic monitoring data processing and evaluation of the entire process of implementing hydraulic unloading gas permeability enhancement.

[0047] The entire process of implementing hydraulic coal unloading gas permeability enhancement is periodically monitored, and the basic monitoring cycle and implementation parameters are adaptively and dynamically adjusted based on the evaluation results; including:

[0048] When the hydraulic coal unloading gas permeability enhancement is implemented, the changes in permeability are monitored and statistically analyzed in real time. When the permeability changes, a regulatory instruction is generated. Based on the regulatory instruction, the initial change timestamp corresponding to the change in permeability is obtained, and the change assessment timestamp corresponding to the time to be evaluated is obtained based on the monitoring duration corresponding to the preset basic monitoring cycle. The units of the initial change timestamp and the change assessment timestamp are accurate to the second.

[0049] The monitoring and acquisition of permeability includes, but is not limited to, acquisition through micro-fracture vector scanning and ultrasonic wave reflection monitoring. The specific implementation steps will not be elaborated here.

[0050] The preset basic monitoring cycle is divided equally according to the standard total construction time corresponding to the standard control data, and the proportion of equal division is customized according to the actual application scenario.

[0051] When the real-time Beijing time is the change assessment timestamp, an assessment instruction is generated, and the monitoring penetration rate JLi corresponding to the change assessment timestamp is obtained according to the assessment instruction, i=1,2,3,...,n; n is a positive integer; i represents different change assessment timestamps; and an effective formula is implemented. Calculate the implementation validity KXi corresponding to the change assessment time stamp; where JLi0 is the standard permeability corresponding to the change assessment time stamp, which is obtained based on the standard control data of the previous processing; U is the standard error rate range, which is determined based on the existing hydraulic coal unloading gas permeability enhancement implementation design requirements data;

[0052] It should be noted that the implementation validity is used to digitally represent the local implementation status of the hydraulic coal unloading gas permeability enhancement implementation;

[0053] The local implementation status of the gas permeation enhancement through hydraulic coal unloading was analyzed based on the implementation effectiveness and the corresponding timestamp of the change assessment.

[0054] If the implementation degree is 0, a local implementation normal instruction will be generated and the existing monitoring and analysis scheme will be maintained for the next basic monitoring cycle.

[0055] If the implementation degree is not 0, a local implementation exception instruction will be generated;

[0056] In this embodiment of the invention, the corresponding implementation calibration degree is obtained by periodically monitoring and processing the state data of the implementation of hydraulic coal unloading gas permeability enhancement. The implementation calibration degree can not only digitally represent the local state of the implementation of hydraulic coal unloading gas permeability enhancement, but also provide reliable data support for the subsequent analysis of the degree of local implementation anomalies.

[0057] Based on the local implementation of abnormal instructions via formula Calculate and obtain the implementation anomaly degree SYi of the hydraulic coal unloading gas permeability enhancement corresponding to the evaluation timestamp of the change; where, This represents the maximum value within the standard error rate range.

[0058] It should be noted that the implementation anomaly degree is used to digitally represent the degree of local implementation anomaly in the implementation of hydraulic coal unloading gas permeation enhancement;

[0059] When determining the degree of local implementation anomaly of the water pressure unloading gas permeability enhancement corresponding to the change assessment timestamp based on the degree of implementation anomaly, the degree of implementation anomaly is analyzed;

[0060] If the anomaly level is less than or equal to 0, a mild anomaly instruction will be generated and prompted. At the same time, the duration of the basic monitoring cycle will be shortened according to the severe anomaly instruction for subsequent monitoring. Specifically, the duration of the basic monitoring cycle can be shortened to half of the corresponding duration of the basic monitoring cycle.

[0061] If the implementation anomaly degree is greater than 0, a severe anomaly implementation command will be generated and prompted. At the same time, the duration of the basic monitoring cycle will be shortened according to the severe anomaly implementation command for subsequent monitoring, and the implementation parameters of water pressure unloading coal gas permeability enhancement will be adjusted.

[0062] The implementation parameters for adjusting the gas permeability enhancement during hydraulic coal unloading are determined based on the sign corresponding to the anomaly rate, where the anomaly rate is... When the sign corresponding to the anomaly rate is positive, the implementation parameters are adjusted to be reduced; when the sign corresponding to the anomaly rate is negative, the implementation parameters are adjusted to be strengthened. The adjustment of the implementation parameters, whether strengthened or reduced, is determined based on the existing data on the adjustment requirements for gas permeability enhancement in water pressure unloading coal. The specific implementation parameters can be water pressure parameters.

[0063] In this embodiment of the invention, the local implementation status of hydraulic coal unloading gas permeation enhancement is periodically digitally processed and calculated and analyzed. Based on the local implementation anomaly instructions obtained from the analysis, the degree of local implementation anomaly in the basic monitoring cycle is traced and analyzed. Based on the traced analysis results, the basic monitoring cycle and the implementation parameters of hydraulic coal unloading gas permeation enhancement are adaptively and dynamically adjusted. This achieves autonomous optimization and adjustment for different anomaly situations to meet different anomaly monitoring needs, and improves the flexibility and reliability of autonomous monitoring and control of hydraulic coal unloading gas permeation enhancement during local implementation anomaly monitoring.

[0064] The monitoring data after adjusting the basic monitoring cycle and the implementation parameters of hydraulic coal unloading gas permeability enhancement are retrospectively processed and evaluated. Based on the retrospective processing and evaluation results, the implementation of hydraulic coal unloading gas permeability enhancement is dynamically controlled adaptively; including:

[0065] When performing retrospective processing and evaluation on the adjusted monitoring data, the monitoring penetration rate of the corresponding change assessment timestamp after the adjustment of the basic monitoring cycle is statistically analyzed, and the retrospective implementation validity corresponding to the change assessment timestamp is calculated by the effective implementation formula, and the retrospective implementation validity is analyzed.

[0066] Option 1: If the retrospective validity is 0, then maintain the existing adjustment and implementation plan;

[0067] If the retrospective implementation validity is not 0, the subsequent implementation of water pressure coal unloading gas permeation enhancement will be suspended and a new construction plan will be formulated.

[0068] Option 2: If the retrospective validity is 0, then maintain the existing adjustment and implementation plan;

[0069] If the retrospective implementation validity is not 0, then the corresponding adjustment plan in the early stage is determined. If the adjustment plan only shortens the duration of the basic monitoring cycle, then the implementation parameters of the hydraulic unloading coal gas permeability enhancement are adjusted and the subsequent adjusted monitoring data is used for secondary retrospective processing and evaluation. If the retrospective implementation validity corresponding to the secondary retrospective processing and evaluation is still not 0, then the subsequent implementation of the hydraulic unloading coal gas permeability enhancement is suspended and a new construction plan is formulated.

[0070] If the adjustment plan involves shortening the basic monitoring cycle for subsequent monitoring and adjusting the implementation parameters of hydraulic coal unloading gas permeability enhancement, then the subsequent implementation of hydraulic coal unloading gas permeability enhancement should be suspended and a new construction plan should be developed.

[0071] Understandably, the adjusted retrospective implementation validity is not 0, indicating that the corresponding adjustment plan has not achieved a substantial adjustment effect. Therefore, human intervention is needed to develop corresponding solutions for the existing anomalies to avoid the anomalies in the implementation of water pressure unloading coal gas permeability enhancement having a greater negative impact.

[0072] Among them, the development of new construction plans is carried out by professional and technical personnel in the field based on the existing hydraulic coal unloading gas permeability enhancement implementation plan and geological data.

[0073] In this embodiment of the invention, by retrospectively processing and evaluating the monitoring data after adjusting the basic monitoring cycle and the implementation parameters of hydraulic coal unloading gas permeability enhancement, and adaptively controlling the implementation of hydraulic coal unloading gas permeability enhancement based on the retrospective processing and evaluation results, the adjustment effect after autonomous optimization adjustment under different abnormal conditions is retrospectively monitored and controlled, thereby improving the flexibility and diversity of autonomous monitoring and control of hydraulic coal unloading gas permeability enhancement when monitoring abnormal adjustments in local implementation.

[0074] Furthermore, the formulas mentioned above are all numerical calculations obtained by removing dimensions and using simulation software to obtain a formula that is closest to the real situation, based on the collection of a large amount of data.

[0075] In the several embodiments provided by this invention, it should be understood that the disclosed methods can be implemented in other ways. For example, the embodiments of the invention described above are merely illustrative; for instance, the division of modules is only a logical functional division, and there may be other division methods in actual implementation.

[0076] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0077] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated module can be implemented in hardware or in the form of hardware plus software functional modules.

[0078] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for controlling gas permeability during hydraulic coal unloading, characterized in that, include: Obtain the geological data corresponding to the implementation of hydraulic coal unloading and gas permeability enhancement, and standardize the geological data to obtain the corresponding standard control data; Among them, when monitoring the geology corresponding to the implementation of hydraulic coal unloading and gas permeability enhancement, the underground location of the coal seam, as well as the physical properties and vertical thickness of the coal seam are obtained. To determine whether there are any influencing targets in the coal seam, as well as their corresponding locations and vertical thicknesses; influencing targets include fractures, faults, and folds; Obtain the physical properties of the rocks above and below the coal seam, as well as the corresponding vertical rock thickness; The geological data are obtained by sorting and combining the various monitoring and statistical data. When standardizing geological data, based on all historical construction data of the coal seam, the target of impact, and the rock corresponding to the implementation of hydraulic unloading gas permeability enhancement, the standard permeability corresponding to different construction timestamps is obtained when hydraulic unloading gas permeability enhancement is implemented in the construction geology. The standard permeability corresponding to different construction timestamps is arranged and combined in chronological order to obtain standard control data; The entire process of implementing hydraulic coal unloading gas permeability enhancement is periodically monitored and evaluated, and the basic monitoring cycle and implementation parameters of hydraulic coal unloading gas permeability enhancement are adaptively and dynamically adjusted based on the evaluation results. Among them, when the hydraulic coal unloading gas permeability enhancement is implemented, the change of permeability value is monitored and statistically analyzed in real time. When the permeability value changes, a regulatory instruction is generated, and the initial change timestamp corresponding to the change of permeability value is obtained according to the regulatory instruction, and the change evaluation timestamp corresponding to the evaluation is obtained according to the monitoring duration corresponding to the preset basic monitoring cycle. When the real-time Beijing time is the change assessment timestamp, an assessment instruction is generated, and the monitoring penetration rate JLi corresponding to the change assessment timestamp is obtained according to the assessment instruction, i=1, 2, 3, ..., n; n is a positive integer; i represents different change assessment timestamps; and the implementation validity corresponding to the change assessment timestamp is calculated through the implementation validity formula; the implementation validity formula is as follows: In the formula, KXi is the implementation validity corresponding to the change assessment time stamp; JLi0 is the standard penetration rate corresponding to the change assessment time stamp; and U is the standard error rate range. The local implementation status of the gas permeation enhancement through hydraulic coal unloading was analyzed based on the implementation effectiveness and the corresponding timestamp of the change assessment. If the implementation validity is 0, then a local implementation normal instruction is generated and the existing monitoring and analysis plan is maintained for the next basic monitoring cycle; If the implementation validity is not 0, then a local implementation exception instruction is generated; The monitoring data after adjusting the basic monitoring cycle and the implementation parameters of hydraulic coal unloading gas permeability enhancement are traced and evaluated, and the implementation of hydraulic coal unloading gas permeability enhancement is dynamically controlled adaptively based on the traced evaluation results.

2. The method for controlling gas permeability during hydraulic coal unloading according to claim 1, characterized in that, Based on the local implementation of abnormal instructions via formula Calculate and obtain the implementation anomaly degree SYi of the hydraulic coal unloading gas permeability enhancement corresponding to the evaluation timestamp of the change; where, This represents the maximum value within the standard error rate range. When determining the degree of local implementation anomaly of hydraulic coal unloading gas permeability enhancement corresponding to the change assessment timestamp based on the degree of implementation anomaly, the degree of implementation anomaly is analyzed and the basic monitoring cycle and implementation parameters of hydraulic coal unloading gas permeability enhancement are adaptively and dynamically adjusted.

3. The method for controlling gas permeability during hydraulic coal unloading according to claim 2, characterized in that, If the anomaly level is less than or equal to 0, a mild anomaly instruction will be generated and a prompt will be displayed. At the same time, the duration of the basic monitoring cycle will be shortened according to the severe anomaly instruction for subsequent monitoring. If the anomaly level is greater than 0, a severe anomaly instruction will be generated and a prompt will be displayed. At the same time, the duration of the basic monitoring cycle will be shortened according to the severe anomaly instruction for subsequent monitoring, and the implementation parameters for water pressure unloading coal gas permeability enhancement will be adjusted.

4. The method for controlling gas permeability during hydraulic coal unloading according to claim 3, characterized in that, When evaluating the adjusted monitoring data, the monitoring penetration rate of the subsequent change evaluation timestamps of the basic monitoring cycle is statistically analyzed. The traceability implementation validity corresponding to the change evaluation timestamp is calculated by implementing an effective formula. The traceability implementation validity is analyzed and the implementation of water pressure unloading coal gas permeability enhancement is dynamically controlled adaptively.

5. The method for controlling gas permeability during hydraulic coal unloading according to claim 4, characterized in that, If the retrospective validity is 0, then the existing adjustment implementation plan will be maintained; If the retrospective implementation validity is not 0, the subsequent implementation of water pressure coal unloading gas permeability enhancement will be suspended and a new construction plan will be formulated.

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