Method for calculating and determining deep mining stope floor unloading-permeated water inrush depth

Abstract

The application provides a deep mining floor unloading-permeation water inrush depth calculation and determination method, including: obtaining a column chart and geological parameters of a coal mining face; establishing a numerical simulation model based on the column chart and the geological parameters; obtaining mechanical parameters, seepage parameters of a target depth rock mass in a coal mining face area, and an angle between a crack structure surface in the target depth rock mass and a horizontal direction; performing numerical simulation of a mining process through the numerical simulation model to obtain stress data of the target depth rock mass; obtaining horizontal unloading and vertical unloading of the target depth rock mass based on the stress data; obtaining equivalent permeability of the target depth rock mass based on the stress data, the mechanical parameters and the seepage parameters; and predicting whether the target depth rock mass has water inrush based on the stress data, the unloading and the permeability. Through the technical scheme, the accuracy of mine water inrush risk determination can be improved.

Description

Technical Field

[0001] This application relates to the fields of mining engineering and rock mechanics, and in particular to a method, apparatus, equipment and storage medium for calculating and determining the depth of unloading-seepage-water inrush at the bottom plate of a deep mining area. Background Technology

[0002] In related technologies, for deep coal resource mining, the complex environment of "high temperature, high humidity, high temperature, high temperature and high humidity" combined with the strong dynamic load disturbance of large mining height leads to a significant increase in the risk of water inrush from the floor, and the failure mode of the floor is also more complex. Existing methods for determining water inrush from the floor are difficult to simulate the relevant physical phenomena of the rock mass under the unloading path, while on-site stress monitoring is difficult to apply due to high cost and construction difficulties. Summary of the Invention

[0003] This application aims to at least partially address one of the technical problems in the related art.

[0004] Firstly, this application proposes a method for calculating and determining the depth of unloading-seepage-water inrush in deep mining areas. The method includes: obtaining a columnar section and geological parameters of the coal mining face; establishing a numerical simulation model based on the columnar section and geological parameters; obtaining the mechanical parameters, seepage parameters, and the angle between the fracture structure surface and the horizontal direction of the rock mass at the target depth within the coal mining face area; performing numerical simulation of the mining process through the numerical simulation model to obtain stress data of the rock mass at the target depth; the stress data includes at least one of the following: maximum horizontal stress, horizontal stress after unloading, maximum vertical stress, and vertical stress after unloading; obtaining the horizontal unloading amount and vertical unloading amount of the rock mass at the target depth based on the stress data; performing coupled analysis of unloading seepage based on the stress data, the mechanical parameters, and the seepage parameters to obtain the equivalent permeability of the rock mass at the target depth; and predicting whether water inrush will occur in the rock mass at the target depth based on the stress data, the unloading amount, and the permeability.

[0005] In one implementation, obtaining the horizontal and vertical unloading amounts of the rock mass at the target depth based on the stress data includes: obtaining the difference between the horizontal stress and the horizontal stress after unloading based on the maximum horizontal stress; obtaining the difference between the vertical stress and the vertical stress after unloading based on the maximum vertical stress; obtaining the difference between the horizontal stress and the maximum horizontal stress as the horizontal unloading amount; and obtaining the difference between the vertical stress and the maximum vertical stress as the vertical unloading amount.

[0006] In one implementation, the step of performing coupled analysis of unloading seepage based on the stress data, the mechanical parameters, and the seepage parameters to obtain the equivalent permeability of the rock mass at the target depth includes: using the Bandis hyperbola model to calculate the joint normal aperture during the unloading process based on the stress data, the mechanical parameters, and the seepage parameters; and calculating the equivalent permeability coefficient of the rock mass at the target depth under the unloading state based on the joint normal aperture.

[0007] In one implementation, predicting whether a water inrush will occur in the rock mass at the target depth based on the stress data, the unloading amount, and the permeability includes: obtaining a first judgment value based on the vertical unloading amount and the included angle; obtaining a second judgment value based on the horizontal unloading amount, the seepage pressure, the maximum horizontal stress, the maximum vertical stress, and the included angle; and determining whether a seepage water inrush will occur in the rock strata at the target depth based on the numerical relationship between the first judgment value and the second judgment value.

[0008] In one alternative implementation, the formula for calculating the first judgment quantity is as follows:

[0009]

[0010] in, This refers to the unloading amount in the vertical direction. Let be the included angle. The calculation formula for the second judgment quantity is as follows:

[0011] in, The maximum horizontal stress, The maximum vertical stress, The coefficient of action of water pressure. For fissure water pressure, This refers to the amount of unloading in the horizontal direction. The included angle is denoted as .

[0012] Optionally, determining whether seepage water inrush has occurred in the rock stratum at the target depth based on the numerical relationship between the first judgment value and the second judgment value includes: determining that seepage water inrush has occurred in the rock stratum at the target depth in response to the first judgment value being greater than the second judgment value.

[0013] Secondly, this application proposes a device for calculating and determining the depth of unloading, seepage, and water inrush at the bottom of a deep mining area. The device includes: a first acquisition module for acquiring a columnar section and geological parameters of the coal mining face; a first processing module for establishing a numerical simulation model based on the columnar section and geological parameters; a second acquisition module for acquiring the mechanical parameters, seepage parameters, and the angle between the fracture structure surface and the horizontal direction of the rock mass at the target depth within the coal mining face area; and a second processing module for performing numerical simulation of the mining process using the numerical simulation model to obtain the depth of the target depth. The system comprises: a third processing module for obtaining the horizontal and vertical unloading amounts of the rock mass at the target depth based on the stress data; a fourth processing module for performing coupled analysis of unloading seepage based on the stress data, the mechanical parameters, and the seepage parameters to obtain the equivalent permeability of the rock mass at the target depth; and a fifth processing module for predicting whether a water inrush will occur in the rock mass at the target depth based on the stress data, the unloading amount, and the permeability.

[0014] In one implementation, the third processing module can be used to: obtain the difference between the horizontal stress and the unloaded horizontal stress based on the maximum horizontal stress and the unloaded horizontal stress; obtain the difference between the maximum vertical stress and the unloaded vertical stress based on the maximum vertical stress and the unloaded vertical stress; obtain the difference between the horizontal stress and the maximum horizontal stress as the horizontal unloading amount; and obtain the difference between the vertical stress and the maximum vertical stress as the vertical unloading amount.

[0015] In one implementation, the fourth processing module can be used to: calculate the joint normal aperture during the unloading process using the Bandis hyperbolic model, based on the stress data, the mechanical parameters, and the seepage parameters; and calculate the equivalent permeability coefficient of the rock mass at the target depth under the unloading state based on the joint normal aperture.

[0016] In one implementation, the fifth processing module can be used to: obtain a first judgment value based on the vertical unloading amount and the included angle; obtain a second judgment value based on the horizontal unloading amount, the seepage pressure, the maximum horizontal stress, the maximum vertical stress and the included angle; and determine whether seepage water inrush has occurred in the rock strata at the target depth based on the numerical relationship between the first judgment value and the second judgment value.

[0017] In one alternative implementation, the formula for calculating the first judgment quantity is as follows:

[0018] in, This refers to the unloading amount in the vertical direction. Let be the included angle. The calculation formula for the second judgment quantity is as follows:

[0019] in, The maximum horizontal stress, The maximum vertical stress, The coefficient of action of water pressure. For fissure water pressure, This refers to the amount of unloading in the horizontal direction. The included angle is denoted as .

[0020] Optionally, the fifth processing module can be used to: determine that seepage water inrush has occurred in the rock strata at the target depth in response to the first judgment quantity being greater than the second judgment quantity.

[0021] Thirdly, this application proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the deep mining floor unloading-permeability water inrush depth calculation and determination method as described in the first aspect.

[0022] Fourthly, this application proposes a storage medium storing instructions that, when executed on an electronic device, cause the electronic device to perform the method described in the first aspect.

[0023] Fifthly, this application proposes a program product comprising at least one of a program and instructions, wherein when the program and instructions are executed by an electronic device, they implement the steps of the method described in the first aspect.

[0024] The method, apparatus, equipment, and storage medium provided in this application for calculating and determining the depth of water inrush from unloading and seepage in deep mining areas can acquire columnar sections and geological parameters of the coal face and construct a numerical simulation model. It then collects mechanical and seepage parameters of the rock mass at the target depth, as well as the angle of fracture surfaces. Through numerical simulation, it obtains rock mass stress data and calculates horizontal and vertical unloading amounts. Combining the mechanical and seepage parameters, it obtains the equivalent permeability. Finally, based on the stress data, unloading amount, and permeability, it completes the prediction and determination of water inrush risk. This method enables accurate prediction of water inrush depth through numerical simulation, improving the accuracy of mine water inrush risk assessment.

[0025] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0026] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart illustrating a method for calculating and determining the depth of water inrush and seepage in a deep mining area, as provided in an embodiment of this application. Figure 2 This is a schematic diagram of a process for calculating and determining the depth of seepage and water inrush in a deep mining area, provided in an embodiment of this application. Figure 3 This is a schematic diagram of a device for calculating and determining the depth of water inrush and seepage in a deep mining area, provided in an embodiment of this application. Figure 4 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0027] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0028] The following describes, with reference to the accompanying drawings, a method and apparatus for calculating and determining the depth of unloading-seepage water inrush in deep mining areas.

[0029] Figure 1 This is a flowchart illustrating a method for calculating and determining the depth of seepage and water inrush in deep mining areas, as provided in an embodiment of this application. Figure 1 As shown, the method may include, but is not limited to, the following steps: S110: Obtain the columnar section and geological parameters of the coal mining face.

[0030] In the embodiments of this application, the geological parameters include at least one of the following: mining height, burial depth, dip width, working face strike length, and dip angle.

[0031] S120: Establish a numerical simulation model based on columnar charts and geological parameters.

[0032] For example, based on the columnar section of the coal mining face, the strata, thickness, lithology, and distribution of aquifers and aquitards are extracted. Combined with geological parameters such as mining height, burial depth, working face length, and dip angle, the strike, dip direction, roof height, and floor depth of the model are determined in the modeling software according to the specifications. Two-dimensional or three-dimensional geometric structures of coal seam, roof and floor strata, and key aquifers are created in sequence, and corresponding rock mass properties are assigned and actual boundary conditions are applied to establish a numerical simulation model.

[0033] It should be noted that the strike length of the model should completely encompass the stress disturbance zone caused by the mining face. For example, the strike length of the model can be 1.5 to 2.0 times the actual length of the working face; the dip width of the model should not be less than 1 / 3 of the actual length of the working face to fully consider the end effect; the total height of the model should include the height of the roof and the height of the floor. To fully simulate the roof collapse and the formation of the pressure arch, the roof modeling height should not be less than 8 to 10 times the mining height, and the floor modeling depth must penetrate the entire aquifer and extend at least 5 meters below the bottom of the aquifer.

[0034] S130: Obtain the mechanical parameters and seepage parameters of the rock mass at the target depth within the coal mining face area, as well as the angle between the fracture structure surface within the rock mass at the target depth and the horizontal direction.

[0035] In the embodiments of this application, the mechanical parameters include at least one of the following: elastic modulus, Poisson's ratio, tensile strength, compressive strength, normal stiffness, and initial opening; the seepage parameters include at least one of the following: initial permeability coefficient and fissure water pressure.

[0036] S140: Numerical simulation of the mining process is performed using a numerical simulation model to obtain stress data of the rock mass at the target depth.

[0037] In the embodiments of this application, the stress data includes at least one of the following: maximum horizontal stress, horizontal stress after unloading, maximum vertical stress, and vertical stress after unloading.

[0038] For example, a numerical simulation of the entire mining process is carried out based on a numerical simulation model, simulating the original rock stress, the peak value of the advance support pressure, the initial instability of the basic roof to the unloading and stabilization of the goaf floor. The original rock stress in the horizontal and vertical directions is taken as the maximum horizontal stress and the maximum vertical stress, and the unloading horizontal stress and unloading vertical stress are obtained after unloading.

[0039] In some embodiments, the peak stress during the mining process can also be obtained as the maximum horizontal stress.

[0040] S150: Obtain the horizontal and vertical unloading amounts of the rock mass at the target depth based on stress data.

[0041] In one implementation, obtaining the horizontal and vertical unloading amounts of the rock mass at the target depth based on stress data includes: obtaining the difference between the horizontal stress and the horizontal stress after unloading based on the maximum horizontal stress; obtaining the difference between the vertical stress and the vertical stress after unloading based on the maximum vertical stress; obtaining the difference between the horizontal stress and the maximum horizontal stress as the horizontal unloading amount; and obtaining the difference between the vertical stress and the maximum vertical stress as the vertical unloading amount.

[0042] For example, the calculation process of the above steps can be represented as follows: s xu = s xbu - s xaf s zu = s zbu - s zbf d x = s xu / s xbu d z = s zu / s zbu in, s xu The horizontal stress difference in the rock mass at the target depth in the horizontal direction. s xbu The peak horizontal stress in the rock mass at the target depth is in the horizontal direction. s xaf The horizontal stress in the rock mass at the target depth after unloading in the horizontal direction. s zu This represents the vertical stress difference in the rock mass at the target depth in the vertical direction. s zbu The peak vertical stress in the rock mass at the target depth is the vertical stress in the vertical direction. s zbf The vertical stress of the rock mass at the target depth after unloading in the vertical direction. d x This is the horizontal unloading amount. d z This represents the vertical unloading amount.

[0043] S160: Based on stress data, mechanical parameters, and seepage parameters, a coupled analysis of unloading seepage is performed to obtain the equivalent permeability of the rock mass at the target depth.

[0044] In one implementation, a coupled analysis of unloading seepage is performed based on stress data, mechanical parameters, and seepage parameters to obtain the equivalent permeability of the rock mass at the target depth. This includes: using the Bandis hyperbola model, calculating the joint normal aperture during the unloading process based on stress data, mechanical parameters, and seepage parameters; and calculating the equivalent permeability coefficient of the rock mass at the target depth under the unloading state based on the joint normal aperture.

[0045] For example, the Bandis hyperbola model can be represented as follows:

[0046] Among them, k0, k u Let k0 be the permeability coefficient of the rock mass at the start of unloading and during the unloading process, p be the fissure water pressure, α be the water pressure coefficient, σ be the stress at the unloading initiation point, λ be the deformation coefficient, e0 be the initial aperture of the unloading fissure, and K be the stress at the start of unloading. n0 To unload the normal stiffness of the fracture, the joint normal aperture is calculated using the above expression. Based on the joint normal aperture, combined with rock mass seepage parameters and structural parameters, and using the cubic flow law, the joint normal aperture is combined with fluid properties to calculate the first permeability coefficient of the joint itself. Then, combined with the rock mass matrix permeability obtained from laboratory tests, the volume proportion and surface density of the joint in the rock mass are determined. Finally, based on the seepage control equation extended from Darcy's law, the first permeability coefficient and rock mass matrix permeability are coupled, and combined with the dynamic change relationship of joint normal aperture with stress unloading, the equivalent permeability of the rock mass at the target depth is derived.

[0047] S170: Based on stress data, unloading amount, and permeability, predict whether water inrush will occur in the rock mass at the target depth. In one implementation, predicting whether water inrush will occur in rock mass at a target depth based on stress data, unloading amount, and permeability includes: obtaining a first judgment value based on vertical unloading amount and included angle; obtaining a second judgment value based on horizontal unloading amount, seepage pressure, maximum horizontal stress, maximum vertical stress, and included angle; and determining whether seepage water inrush will occur in rock strata at the target depth based on the numerical relationship between the first and second judgment values.

[0048] In one implementation, the formula for calculating the first decision variable is as follows:

[0049] in, This refers to the unloading amount in the vertical direction. The included angle.

[0050] The formula for calculating the second judgment quantity is as follows:

[0051] in, For the maximum horizontal stress, For the maximum vertical stress, The coefficient of action of water pressure. For fissure water pressure, This refers to the unloading amount in the horizontal direction. The included angle.

[0052] For example, if the following inequality is satisfied, it can be determined that seepage and water inrush have occurred at the target depth.

[0053]

[0054] It should be noted that if the target depth is the first to be determined by the above inequality, then the target depth can be determined as the critical depth of water inrush for the unloading-seepage rupture of the bottom plate.

[0055] Please see Figure 2 , Figure 2 This is a schematic diagram illustrating the calculation and determination process for the depth of seepage and water inrush in a deep mining area, as provided in an embodiment of this application. Figure 2 As shown, a numerical simulation model of the coal seam, roof and floor strata, and key aquifers is first built based on the columnar section and geological parameters of the working face to clarify the model's geometric dimensions and boundary conditions. Mechanical and seepage parameters of rock samples at various depths of the working face are obtained through experiments. Then, based on the numerical simulation model and the aforementioned parameters, the stress evolution throughout the entire mining process is simulated to obtain vertical and horizontal stress variation data. The stress unloading is calculated based on the vertical and horizontal stress variation data, and the equivalent permeability is obtained by nonlinearly mapping the joint normal aperture using the Bandis model. Finally, the unloading-permeability fracture discrimination formula is substituted to determine the critical water inrush depth, and the water inrush risk of the rock mass at the target depth is assessed.

[0056] Please see Figure 3 , Figure 3 This is a schematic diagram of a device for calculating and determining the depth of seepage and water inrush in a deep mining area, provided in an embodiment of this application. Figure 3As shown, the device 300 includes: a first acquisition module 301 for acquiring the columnar section and geological parameters of the coal mining face; a first processing module 302 for establishing a numerical simulation model based on the columnar section and geological parameters; a second acquisition module 303 for acquiring the mechanical parameters, seepage parameters, and the angle between the fracture structure surface and the horizontal direction of the rock mass at the target depth within the coal mining face area; a second processing module 304 for performing numerical simulation of the mining process through the numerical simulation model to acquire stress data of the rock mass at the target depth; the stress data includes at least one of the following: maximum horizontal stress, horizontal stress after unloading, maximum vertical stress, and vertical stress after unloading; a third processing module 305 for acquiring the horizontal unloading amount and vertical unloading amount of the rock mass at the target depth based on the stress data; a fourth processing module 306 for performing coupled analysis of unloading seepage based on the stress data, mechanical parameters, and seepage parameters to acquire the equivalent permeability of the rock mass at the target depth; and a fifth processing module 307 for predicting whether water inrush will occur in the rock mass at the target depth based on the stress data, unloading amount, and permeability.

[0057] In one implementation, the third processing module 305 can be used to: obtain the difference between the horizontal stress and the horizontal stress after unloading based on the maximum horizontal stress and the horizontal stress after unloading; obtain the difference between the vertical stress and the vertical stress after unloading based on the maximum vertical stress and the vertical stress after unloading; obtain the difference between the horizontal stress and the maximum horizontal stress as the horizontal unloading amount; and obtain the difference between the vertical stress and the maximum vertical stress as the vertical unloading amount.

[0058] In one implementation, the fourth processing module 306 can be used to: calculate the joint normal aperture during the unloading process using the Bandis hyperbola model, based on stress data, mechanical parameters, and seepage parameters; and calculate the equivalent permeability coefficient of the rock mass at the target depth under the unloading state based on the joint normal aperture.

[0059] In one implementation, the fifth processing module 307 can be used to: obtain a first judgment quantity based on the vertical unloading amount and the included angle; obtain a second judgment quantity based on the horizontal unloading amount, seepage pressure, maximum horizontal stress, maximum vertical stress and the included angle; and determine whether seepage water inrush has occurred in the rock strata at the target depth based on the numerical relationship between the first judgment quantity and the second judgment quantity.

[0060] In one alternative implementation, the formula for calculating the first decision quantity is as follows:

[0061] in, This refers to the unloading amount in the vertical direction. The included angle is shown in the formula for calculating the second judgment quantity:

[0062] in, For the maximum horizontal stress, For the maximum vertical stress, The coefficient of action of water pressure. For fissure water pressure, This refers to the unloading amount in the horizontal direction. The included angle.

[0063] Optionally, the fifth processing module 307 can be used to: determine that seepage water inrush has occurred in the rock strata at the target depth in response to the first judgment value being greater than the second judgment value.

[0064] The apparatus described in this application can acquire a columnar section of a coal face and geological parameters, and construct a numerical simulation model. It then collects mechanical and seepage parameters of the rock mass at the target depth, as well as the angle of fracture surfaces. Through numerical simulation, it obtains rock mass stress data and calculates horizontal and vertical unloading. Combining the mechanical and seepage parameters, it obtains the equivalent permeability. Finally, based on the stress data, unloading, and permeability, it completes the prediction and judgment of water inrush risk. This allows for accurate prediction of water inrush depth through numerical simulation, improving the accuracy of mine water inrush risk assessment.

[0065] It should be noted that the explanation of the above-described embodiment of the method for calculating and determining the depth of unloading, seepage and water inrush at the bottom plate of a deep mining area also applies to the device for calculating and determining the depth of unloading, seepage and water inrush at the bottom plate of the deep mining area in this embodiment, and will not be repeated here.

[0066] To implement the above embodiments, this application also proposes an electronic device. Please see [link to relevant documentation]. Figure 4 , Figure 4 This is a schematic diagram of the structure of the electronic device provided in an embodiment of this application. For example... Figure 4 As shown, the electronic device 400 includes: a processor 401 and a memory 402 communicatively connected to the processor 401; the memory 402 stores computer-executable instructions; the processor 401 executes the computer-executable instructions stored in the memory to implement the method provided in the foregoing embodiments.

[0067] To implement the above embodiments, this application also proposes a storage medium storing instructions that, when executed on an electronic device, cause the electronic device to perform the methods provided in the foregoing embodiments.

[0068] To implement the above embodiments, this application also proposes a program product, including at least one of a program and instructions, wherein when the program and instructions are executed by an electronic device, they implement the steps of the method provided in the foregoing embodiments.

[0069] It should be noted that the acquisition, transmission, storage, use, and processing of data in this application comply with the relevant provisions of national laws and regulations and do not violate public order and good morals.

[0070] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, data stored, data displayed, etc.) and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0071] It is worth noting that in the embodiments of this application, certain software, components, models and other existing solutions in the industry may be mentioned. These should be regarded as exemplary and are only intended to illustrate the feasibility of implementing the technical solution of this application. However, they do not mean that the applicant has used or necessarily used the solution.

[0072] In the description of this application, unless otherwise stated, " / " means "or", for example, A / B can mean A or B; "and / or" in this document is merely a description of the relationship between related objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone.

[0073] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0074] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0075] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0076] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0077] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0078] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0079] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0080] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for calculating and determining the depth of unloading-seepage-water inrush at the bottom plate of a deep mining area, characterized in that, include: Obtain columnar section and geological parameters of the coal mining face; A numerical simulation model was established based on the aforementioned columnar section and the aforementioned geological parameters; Obtain the mechanical parameters and seepage parameters of the rock mass at the target depth within the coal mining face area, as well as the angle between the fracture structure surface within the rock mass at the target depth and the horizontal direction; The mining process is numerically simulated using the numerical simulation model to obtain stress data of the rock mass at the target depth; the stress data includes at least one of the following: maximum horizontal stress, horizontal stress after unloading, maximum vertical stress, and vertical stress after unloading; Based on the stress data, the horizontal and vertical unloading amounts of the rock mass at the target depth are obtained; Based on the stress data, the mechanical parameters, and the seepage parameters, a coupled analysis of unloading seepage is performed to obtain the equivalent permeability of the rock mass at the target depth. Based on the stress data, the unloading amount, and the permeability, it is predicted whether water inrush will occur in the rock mass at the target depth.

2. The method according to claim 1, characterized in that, The process of obtaining the horizontal and vertical unloading amounts of the rock mass at the target depth based on the stress data includes: The difference in horizontal stress is obtained based on the maximum horizontal stress and the horizontal stress after unloading. The vertical stress difference is obtained based on the maximum vertical stress and the vertical stress after unloading. The difference between the horizontal stress and the maximum horizontal stress is obtained as the horizontal unloading amount; The difference between the vertical stress and the maximum vertical stress is obtained as the vertical unloading amount.

3. The method according to claim 1, characterized in that, The coupled analysis of unloading seepage based on the stress data, the mechanical parameters, and the seepage parameters to obtain the equivalent permeability of the rock mass at the target depth includes: Using the Bandis hyperbola model, the joint normal opening during the unloading process is calculated based on the stress data, the mechanical parameters, and the seepage parameters. The equivalent permeability coefficient of the rock mass at the target depth under unloading state is calculated based on the joint normal aperture.

4. The method according to claim 1, characterized in that, The method of predicting whether water inrush will occur in the rock mass at the target depth based on the stress data, the unloading amount, and the permeability includes: A first judgment value is obtained based on the vertical unloading amount and the included angle; The second judgment value is obtained based on the horizontal unloading amount, the permeation pressure, the maximum horizontal stress, the maximum vertical stress, and the included angle; Based on the numerical relationship between the first judgment quantity and the second judgment quantity, it is determined whether seepage water inrush has occurred in the rock strata at the target depth.

5. The method according to claim 4, characterized in that, The formula for calculating the first judgment quantity is as follows: in, This refers to the unloading amount in the vertical direction. The included angle is denoted as . The formula for calculating the second judgment quantity is as follows: in, The maximum horizontal stress, The maximum vertical stress, The coefficient of action of water pressure. For fissure water pressure, This refers to the amount of unloading in the horizontal direction. The included angle is denoted as .

6. The method according to claim 5, characterized in that, The step of determining whether seepage water inrush has occurred in the rock strata at the target depth based on the numerical relationship between the first judgment value and the second judgment value includes: In response to the first judgment value being greater than the second judgment value, it is determined that seepage water inrush has occurred in the rock strata at the target depth.

7. A device for calculating and determining the depth of unloading-seepage-water inrush at the bottom plate of a deep mining area, characterized in that, include: The first acquisition module is used to acquire the columnar section and geological parameters of the coal mining face; The first processing module is used to establish a numerical simulation model based on the column chart and the geological parameters; The second acquisition module is used to acquire the mechanical parameters and seepage parameters of the rock mass at the target depth within the coal mining face area, as well as the angle between the fracture structure surface of the rock mass at the target depth and the horizontal direction. The second processing module is used to perform numerical simulation of the mining process through the numerical simulation model to obtain stress data of the rock mass at the target depth; the stress data includes at least one of the following: maximum horizontal stress, horizontal stress after unloading, maximum vertical stress, and vertical stress after unloading. The third processing module is used to obtain the horizontal and vertical unloading amounts of the rock mass at the target depth based on the stress data. The fourth processing module is used to perform coupled analysis of unloading seepage based on the stress data, the mechanical parameters and the seepage parameters, to obtain the equivalent permeability of the rock mass at the target depth; The fifth processing module is used to predict whether water inrush will occur in the rock mass at the target depth based on the stress data, the unloading amount, and the permeability.

8. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1 to 6.

9. A storage medium storing instructions, characterized in that, When the instructions are executed on an electronic device, the electronic device causes the electronic device to perform the method of any one of claims 1 to 6.

10. A program product comprising at least one of a program and instructions, characterized in that, When at least one of the program or instructions is executed by an electronic device, it implements the steps of the method according to any one of claims 1 to 6.

Images