Sandstone reservoir space microelement-based water inflow dynamic prediction method and system

Abstract

This invention belongs to the field of mine water inflow prediction technology, specifically relating to a method and system for dynamic prediction of water inflow based on sandstone water storage space micro-elements. The method includes: acquiring multi-dimensional characteristic parameters of coal-bearing strata rocks; constructing a fluid-structure interaction model based on the acquired multi-dimensional characteristic parameters; simulating the disturbance range of surrounding rock at different mining stages according to the constructed fluid-structure interaction model; dividing the acquired coal-bearing strata rocks into water storage micro-elements to obtain water storage space micro-elements; calculating the unit water storage space within the disturbance range of surrounding rock at different mining stages based on the obtained water storage space micro-elements; and dynamically predicting the water inflow at the working face at different mining stages based on the unit water storage space within the disturbance range of surrounding rock at different mining stages, thus completing the dynamic prediction of water inflow based on sandstone water storage space micro-elements.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of mine water inflow prediction, and particularly relates to a water inflow dynamic prediction method and system based on sandstone water storage space microelement. BACKGROUND

[0002] The statements in this section merely provide background information related to the present application and do not necessarily constitute prior art.

[0003] Large-scale coal mining activities disturb the water storage space of coal-bearing strata, change the groundwater circulation state, and cause the mine water inflow to change dramatically, which poses a serious threat to mine safety production and the ecological environment of the mining area. In actual mining engineering, the water inflow of the working face presents significant spatiotemporal heterogeneity characteristics, and the dominant factors, disturbance range and water inflow rate at different stages are significantly different, which puts strict requirements on the dynamic adaptability of the prediction method.

[0004] The prior art can achieve mine water inflow prediction through the large well method or the hydrogeological analogy method, but does not consider the multi-stage dynamic characteristics of the water storage space of the coal-bearing strata and mining water inflow. The seepage simulation technology can be used for dynamic prediction of water inflow, but lacks the adaptability of dynamic adjustment of the disturbance range and evolution of the water storage space during mining, and cannot effectively solve the prediction accuracy bottleneck caused by spatiotemporal heterogeneity, making it difficult to meet the actual needs of safe mining and ecological protection in the mining area.

[0005] In view of the existing mining water inflow prediction technology, the traditional empirical model is suitable for rough calculation due to its simple calculation advantage, but it is difficult to accurately capture the water inflow law at different stages due to the neglect of the multi-factor coupling mechanism during mining, and it cannot cope with the nonlinear water inflow problem under complex hydrogeological conditions. The numerical simulation method is based on the mechanism of groundwater dynamics, which can simulate the evolution characteristics of the groundwater flow field, but has defects such as difficulty in obtaining parameters and high calculation cost, and lacks adaptability to extreme conditions such as water inrush and sand collapse. SUMMARY

[0006] To solve the above problems, the present application provides a water inflow dynamic prediction method and system based on sandstone water storage space microelement, which divides the water storage space microelement by finely characterizing the sandstone water storage space characteristics, effectively captures the changes of the water storage space and water inflow within the disturbance range at different mining stages, solves the spatiotemporal heterogeneity and parameter uncertainty problems of water inflow prediction under mining disturbance, and realizes high-precision dynamic prediction of the whole process of water inflow of the mining working face.

[0007] According to some embodiments, the first aspect of the present application provides a water inflow dynamic prediction method based on sandstone water storage space microelement, which adopts the following technical scheme: A water inflow dynamic prediction method based on sandstone water storage space microelement, comprising: Obtain multi-dimensional characteristic parameters of coal-bearing strata rocks; Based on the acquired multi-dimensional feature parameters, a fluid-structure interaction model is constructed. The disturbance range of the surrounding rock at different mining stages was simulated based on the constructed fluid-structure interaction model; The water-reservoir micro-elements of the obtained coal-bearing strata rocks are divided to obtain the water-reservoir space micro-elements; Based on the obtained water storage space micro-element, the unit water storage space within the surrounding rock disturbance range at different mining stages is calculated; Based on the dynamic prediction of the water inflow at different mining stages by the unit water storage space within the surrounding rock disturbance range, the dynamic prediction of water inflow based on sandstone water storage space micro-element is completed.

[0008] As a further technical limitation, the surrounding rock within the mining disturbance area is divided into... m × n × p Each infinitesimal element represents the total water storage space within the disturbance range. WSS ,Right now ;in, v ij This serves as a water storage space within the micro-element. n The number of infinitesimal elements along the working face. m The number of infinitesimal elements along the working surface. p The number of micro-elements perpendicular to the working surface; i For the first i A micro-element with a working surface inclination; j For the first j A micro-element along the working surface; k For the first k A micro-element perpendicular to the working surface.

[0009] As a further technical limitation, the disturbance range of the surrounding rock at different mining stages includes the vertical disturbance range and the horizontal disturbance range; the horizontal disturbance range is related to the obtained multi-dimensional characteristic parameter coefficients.

[0010] Furthermore, the water-retaining micro-elements of the obtained coal-bearing strata rocks are divided in three-dimensional space, and the number of constructed water-retaining micro-elements is related to the vertical disturbance range and the horizontal disturbance range.

[0011] As a further technical limitation, the unit water storage space within the disturbance range of the surrounding rock at different mining stages is integrally solved to obtain the total water storage space within the disturbance range; the historical working face water inflow and the total water storage space within the disturbance range are fitted and analyzed to obtain the predicted value of the working face water inflow at different mining stages.

[0012] As a further technical limitation, the acquired multi-dimensional characteristic parameters include at least microstructure, macroscopic mechanical parameters, and hydrophysical property parameters; wherein, the microstructure parameters include pore type, pore size distribution, pore connectivity, porosity, lithological composition, degree of cementation, and particle shape; the macroscopic mechanical parameters include compressive strength, tensile strength, shear strength, elastic modulus, Poisson's ratio, shear modulus, and bulk modulus; and the hydrophysical property parameters include permeability coefficient, hydraulic conductivity, water storage coefficient, and specific yield.

[0013] According to some embodiments, the second aspect of the present invention provides a dynamic prediction system for water inflow based on sandstone water storage space micro-elements, employing the following technical solution: A dynamic prediction system for water inflow based on sandstone water storage space micro-elements includes: The acquisition module is configured to acquire multi-dimensional feature parameters of coal-bearing strata rocks; The building module is configured to construct a fluid-structure interaction model based on the acquired multi-dimensional feature parameters. The simulation module is configured to simulate the disturbance range of the surrounding rock at different mining stages based on the constructed fluid-structure interaction model; The partitioning module is configured to partition the obtained coal-bearing strata rocks into water-storage micro-elements, thereby obtaining water-storage space micro-elements. The calculation module is configured to calculate the unit water storage space within the surrounding rock disturbance range at different mining stages based on the obtained water storage space micro-element. The prediction module is configured to dynamically predict the water inflow of the working face at different mining stages based on the unit water storage space within the surrounding rock disturbance range at different mining stages, thus completing the dynamic prediction of water inflow based on sandstone water storage space micro-element.

[0014] According to some embodiments, a third aspect of the present invention provides a computer-readable storage medium, employing the following technical solution: A computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the steps in the dynamic prediction method for water inflow based on sandstone water storage space micro-elements as described in the first aspect of the present invention.

[0015] According to some embodiments, the fourth aspect of the present invention provides an electronic device, which adopts the following technical solution: An electronic device includes a memory, a processor, and a program stored in the memory and running on the processor. When the processor executes the program, it implements the steps in the dynamic prediction method for water inflow based on sandstone water storage space micro-elements as described in the first aspect of the present invention.

[0016] According to some embodiments, the fifth aspect of the present invention provides a computer program product, which adopts the following technical solution: A computer program product includes software code, wherein the program in the software code performs the steps of the dynamic prediction method for water inflow based on sandstone water storage space micro-elements as described in the first aspect of the present invention.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention uses sandstone water storage space micro-element to dynamically adapt to changes in water storage space within the disturbance range of different mining stages, effectively solving the spatiotemporal heterogeneity problem of water inflow prediction caused by mining. After processing, the input data changes from static to dynamic evolution data, extending the prediction range to water inflow values ​​at any stage.

[0018] This invention integrates a multi-dimensional system of coal-bearing strata structure parameters, geological and mining parameters, and disturbance range integral parameters, comprehensively covering key factors affecting water inflow. Combined with intelligent algorithms and water inflow mechanisms, it improves the interpretability and engineering applicability of the model. Attached Figure Description

[0019] The accompanying drawings, which form part of this embodiment, are used to provide a further understanding of this embodiment. The illustrative embodiments and their descriptions are used to explain this embodiment and do not constitute an improper limitation of this embodiment.

[0020] Figure 1 This is a flowchart of the dynamic prediction method for water inflow based on sandstone water storage space micro-element in Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the vertical displacement monitoring results of the surrounding rock in Embodiment 1 of the present invention; Figure 3 This is a schematic diagram of the principal stress monitoring results of the surrounding rock in Embodiment 1 of the present invention; Figure 4 This is a schematic diagram of the shear stress monitoring results of the surrounding rock in Embodiment 1 of the present invention; Figure 5 This is a schematic diagram of the pore water pressure monitoring results of the surrounding rock in Embodiment 1 of the present invention; Figure 6 This is a schematic diagram of a sandstone water storage space micro-element in Embodiment 1 of the present invention; Figure 7 This is a schematic diagram of the three-dimensional data volume of the sandstone water storage space in Embodiment 1 of the present invention; Figure 8 This is a schematic diagram of the three-dimensional data volume of the water storage space within the mining disturbance range in Embodiment 1 of the present invention; Figure 9 This is a schematic diagram comparing the water inflow rate and UWSS value of the 13102 working face in Embodiment 1 of the present invention; Figure 10This is a schematic diagram comparing the water inflow rate and UWSS value of the 13103 working face in Embodiment 1 of the present invention; Figure 11 This is a schematic diagram comparing the water inflow rate and UWSS value of the 23102 working face in Embodiment 1 of the present invention; Figure 12 This is a structural block diagram of the dynamic prediction system for water inflow based on sandstone water storage space micro-element in Embodiment 2 of the present invention. Detailed Implementation

[0021] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0022] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0023] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0024] In this invention, terms such as "upper," "lower," "left," "right," "front," "back," "vertical," "horizontal," "side," and "bottom" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used only to facilitate the description of the structural relationships of the various components or elements of this invention and do not specifically refer to any component or element in this invention. They should not be construed as limiting the invention.

[0025] In this invention, terms such as "fixed connection," "connected," and "linked" should be interpreted broadly, indicating a fixed connection, an integral connection, or a detachable connection; a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can determine the specific meaning of these terms in this invention based on the specific circumstances, and they should not be construed as limitations on the invention.

[0026] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0027] Example 1 Embodiment 1 of this invention introduces a method for dynamic prediction of water inflow based on sandstone water storage space micro-elements.

[0028] like Figure 1The method shown is a dynamic prediction method for water inflow based on sandstone water storage space micro-elements, including: Obtain multi-dimensional characteristic parameters of coal-bearing strata rocks; Based on the acquired multi-dimensional feature parameters, a fluid-structure interaction model is constructed. The disturbance range of the surrounding rock at different mining stages was simulated based on the constructed fluid-structure interaction model; The water-reservoir micro-elements of the obtained coal-bearing strata rocks are divided to obtain the water-reservoir space micro-elements; Based on the obtained water storage space micro-element, the unit water storage space within the surrounding rock disturbance range at different mining stages is calculated; Based on the dynamic prediction of the water inflow at different mining stages by the unit water storage space within the surrounding rock disturbance range, the dynamic prediction of water inflow based on sandstone water storage space micro-element is completed.

[0029] In this embodiment, when constructing a multi-dimensional feature parameter library, the microstructure, macromechanical properties, and hydrophysical properties of rocks, as well as mine production records, are selected as basic parameter inputs. Data is collected through field testing, laboratory experiments, and mine production records. Based on field exploration and multi-well pumping experiments, the main lithological composition, cementation degree, permeability coefficient, and hydraulic conductivity of coal-bearing strata are obtained. Rock samples are collected for CT scanning and rock mechanics testing to obtain microstructure parameters such as pore type, pore size distribution, pore connectivity, and porosity, as well as mechanical parameters such as compressive strength, tensile strength, shear strength, elastic modulus, Poisson's ratio, shear modulus, and bulk modulus. Data on the working face's retreat footage and water inflow are collected weekly until the working face is mined out, forming a production record dataset.

[0030] This embodiment constructs a fluid-structure interaction model based on multi-dimensional characteristic parameters and actual mining conditions, and obtains the following results through simulation: Figure 2 , Figure 3 , Figure 4 and Figure 5 The monitoring results of vertical displacement, principal stress, shear stress and pore water pressure of the surrounding rock under the working face mining conditions are shown, and the disturbance range of the surrounding rock and groundwater at different mining stages is comprehensively delineated.

[0031] In this embodiment, a fluid-structure interaction numerical model of the working face excavation is established using simulation software. The simulation is used to obtain monitoring data such as displacement, stress, and pore water pressure of the surrounding rock at different excavation stages. The obtained multidimensional characteristic parameters are mainly used to assign values ​​to solid mechanics and fluid mechanics parameters in the numerical model.

[0032] It should be noted that the vertical disturbance range H can be directly extracted from the simulation software, while the horizontal disturbance range... R Controlled by the combined forces of vertical displacement, principal stress, shear stress, and pore water pressure, it can be expressed as follows: ; in, R 0 represents the range of horizontal disturbance under in-situ pumping conditions. These are the displacement component coefficients. Principal stress component coefficients The shear stress component coefficient is... This is the coefficient of the pore water pressure component.

[0033] In this embodiment, as the displacement increases, the deformation of the surrounding rock intensifies, and the disturbance range expands. The displacement component coefficients can be expressed as... ;in, u z This represents the vertical displacement of the top plate. h For mining depth.

[0034] In this embodiment, the principal stress decreases, the rock mass's pressure relief and rebound permeability increase, and the disturbance range expands. The principal stress component coefficients can be expressed as... ;in, σ The current principal stress, σ 0 represents the initial principal stress.

[0035] In this embodiment, the increase in shear stress leads to an increase in the range of the shear failure zone and the disturbance range. The shear stress component coefficients are expressed as... ;in, τ For shear stress, σ c It represents the uniaxial compressive strength of the rock.

[0036] In this embodiment, increased pore water pressure leads to a decrease in effective stress, intensified fracture propagation in the surrounding rock, and an increased disturbance range. The pore water pressure component coefficient can be expressed as... ;in, P ω Pore ​​water pressure, h For mining depth.

[0037] This embodiment divides the water-reservoir space into micro-elements based on detailed exploration of coal-bearing strata in the mining area. To precisely analyze the characteristics of sandstone water-reservoir space, the concept of calculus is used to divide the strata into three mutually perpendicular orthogonal water-reservoir space micro-elements, with the side length of each micro-element... l Set at 10 m, such as Figure 6 As shown.

[0038] The water-rich rock strata in this case study area mainly consist of coarse sandstone, medium sandstone, and fine sandstone. The comprehensive water storage space within each micro-element is calculated based on the lithological proportion and porosity. v ,Right now ; in, l Let m be the side length of the infinitesimal element. vFor the comprehensive water storage space within the micro-element, m 3 , C cs 、C zs 、C xs These represent the proportions of coarse sandstone, medium sandstone, and fine sandstone within the micro-element; φ cs , φ zs , φ xs The porosity values ​​for coarse sandstone, medium sandstone, and fine sandstone are 21.07%, 17.31%, and 10.2%, respectively.

[0039] It should be noted that this embodiment uses big data analysis to calculate the comprehensive water storage space within each micro-element. v i and will v i Assign a value to the center point of the infinitesimal element ( X i , Y i , Z i The data and coordinates are imported into GMS software, and the inverse distance weighted method is used to perform 3D interpolation to construct a 3D data volume of the water storage space. Then, 3D visualization processing such as rotation, cutting, and removal is performed. Figure 7 As shown.

[0040] In this embodiment, during the dynamic prediction of water inflow, it is assumed that the rock strata within the mining disturbance range can be divided into: m × n × p The total water storage space within the disturbance range is obtained from a single infinitesimal element. WSS ,Right now ; This can be further expressed as: ; in, WSS For total water storage space, v ij This serves as a water storage space within the micro-element. n The number of infinitesimal elements along the working face. m The number of infinitesimal elements along the working surface. p The number of vertical micro-elements along the working surface.

[0041] This embodiment yields the following: Figure 8The data volume of water storage space and the fence profile within the disturbance range of a certain working face mining are shown (i.e., constructing a three-dimensional water storage space data volume of the entire mining area, determining the disturbance range of the working face mining through numerical simulation, and then rotating, cutting, and removing the three-dimensional data volume according to the disturbance range to obtain the water storage space data volume and fence profile within the disturbance range of the working face mining). The water storage space range of each micro-element within the working face is 700-1700 m. 3 The vast majority are 1000-1400 m 3 The water storage space directly reflects the static storage capacity of groundwater in the rock strata; the larger the water storage space, the greater the static storage capacity of groundwater. Similarly, the larger the water storage space within the working face disturbance range, the greater the water inflow during extraction. If along... Figure 8 The B-section shows a large variation in water storage space, indicating that the water storage structure near this section is complex and prone to sudden local increases in water inflow.

[0042] In this embodiment, it is assumed that the working face has a length along the direction of the working face. L Unit water storage space within the mining impact area UWSS for .

[0043] Furthermore, by obtaining the disturbance range at different mining stages of the working face, the water storage space within each disturbance range is calculated. UWSS The value was obtained and compared with previous working face water inflow data to obtain a dynamic prediction model for water inflow.

[0044] Using the method in this embodiment, the measured water inflow at working faces 13102, 13103, and 23102 is consistent with... UWSS The comparison curves of the values ​​are as follows: Figure 9 , Figure 10 and Figure 11 As shown, the relative errors are 8.89%, 7.32%, and 5.12%, respectively. The dynamic model can accurately predict the water inflow at the mining face.

[0045] This embodiment uses sandstone water storage space micro-element to dynamically adapt to the changes in water storage space within the disturbance range of different mining stages, effectively solving the spatiotemporal heterogeneity problem of water inflow prediction caused by mining. After processing, the input data changes from static to dynamic evolution data, extending the prediction range to water inflow values ​​at any stage.

[0046] This embodiment integrates a multi-dimensional system of coal-bearing strata structure parameters, geological and mining parameters, and disturbance range integral parameters to comprehensively cover key factors affecting water inflow. Combined with intelligent algorithms and water inflow mechanisms, it improves the interpretability and engineering applicability of the model.

[0047] Example 2 Embodiment 2 of the present invention introduces a dynamic prediction system for water inflow based on sandstone water storage space micro-element.

[0048] like Figure 12 The system shown is a dynamic prediction system for water inflow based on micro-elements of sandstone water storage space, comprising: The acquisition module is configured to acquire multi-dimensional feature parameters of coal-bearing strata rocks; The building module is configured to construct a fluid-structure interaction model based on the acquired multi-dimensional feature parameters. The simulation module is configured to simulate the disturbance range of the surrounding rock at different mining stages based on the constructed fluid-structure interaction model; The partitioning module is configured to partition the obtained coal-bearing strata rocks into water-storage micro-elements, thereby obtaining water-storage space micro-elements. The calculation module is configured to calculate the unit water storage space within the surrounding rock disturbance range at different mining stages based on the obtained water storage space micro-element. The prediction module is configured to dynamically predict the water inflow of the working face at different mining stages based on the unit water storage space within the surrounding rock disturbance range at different mining stages, thus completing the dynamic prediction of water inflow based on sandstone water storage space micro-element.

[0049] The detailed steps are the same as those of the dynamic prediction method for water inflow based on sandstone water storage space micro-element provided in Example 1, and will not be repeated here.

[0050] Example 3 Embodiment 3 of the present invention provides a computer-readable storage medium.

[0051] A computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the steps in the dynamic prediction method for water inflow based on sandstone water storage space micro-elements as described in Embodiment 1 of the present invention.

[0052] The detailed steps are the same as those of the dynamic prediction method for water inflow based on sandstone water storage space micro-element provided in Example 1, and will not be repeated here.

[0053] Example 4 Embodiment 4 of the present invention provides an electronic device.

[0054] An electronic device includes a memory, a processor, and a program stored in the memory and running on the processor. When the processor executes the program, it implements the steps in the dynamic prediction method for water inflow based on sandstone water storage space micro-elements as described in Embodiment 1 of the present invention.

[0055] The detailed steps are the same as those of the dynamic prediction method for water inflow based on sandstone water storage space micro-element provided in Example 1, and will not be repeated here.

[0056] Example 5 Embodiment 5 of the present invention provides a computer program product.

[0057] A computer program product includes software code, wherein the program in the software code performs the steps of the dynamic prediction method for water inflow based on sandstone water storage space micro-element as described in Embodiment 1 of the present invention.

[0058] The detailed steps are the same as those of the dynamic prediction method for water inflow based on sandstone water storage space micro-element provided in Example 1, and will not be repeated here.

[0059] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0060] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0061] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0062] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0063] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0064] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

[0065] The above description is merely a preferred embodiment of this practice and is not intended to limit the scope of this practice. Various modifications and variations can be made to this practice by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of this practice should be included within the protection scope of this practice.

Claims

1. A method for dynamic prediction of water inflow based on micro-elements of sandstone water storage space, characterized in that, include: Obtain multi-dimensional characteristic parameters of coal-bearing strata rocks; Based on the acquired multi-dimensional feature parameters, a fluid-structure interaction model is constructed. The disturbance range of the surrounding rock at different mining stages was simulated based on the constructed fluid-structure interaction model; The water-reservoir micro-elements of the obtained coal-bearing strata rocks are divided to obtain the water-reservoir space micro-elements; Based on the obtained water storage space micro-element, the unit water storage space within the surrounding rock disturbance range at different mining stages is calculated; Based on the dynamic prediction of the water inflow at different mining stages by the unit water storage space within the surrounding rock disturbance range, the dynamic prediction of water inflow based on sandstone water storage space micro-element is completed.

2. The method for dynamic prediction of water inflow based on sandstone water storage space micro-elements as described in claim 1, characterized in that, The surrounding rock within the mining disturbance area is divided into: m × n × p Each infinitesimal element represents the total water storage space within the disturbance range. WSS ,Right now ;in, v ij This serves as a water storage space within the micro-element. n The number of infinitesimal elements along the working face. m The number of infinitesimal elements along the working surface. p The number of micro-elements perpendicular to the working surface; i For the first i A micro-element with a working surface inclination; j For the first j A micro-element along the working surface; k For the first k A micro-element perpendicular to the working surface.

3. The method for dynamic prediction of water inflow based on sandstone water storage space micro-elements as described in claim 1, characterized in that, The disturbance range of the surrounding rock at different mining stages includes the vertical disturbance range and the horizontal disturbance range; the horizontal disturbance range is related to the obtained multi-dimensional characteristic parameter coefficients.

4. The method for dynamic prediction of water inflow based on sandstone water storage space micro-elements as described in claim 3, characterized in that, The water-retaining micro-element of the coal-bearing strata rock is divided in three-dimensional space, and the number of constructed water-retaining micro-element is related to the vertical disturbance range and the horizontal disturbance range.

5. The method for dynamic prediction of water inflow based on sandstone water storage space micro-elements as described in claim 1, characterized in that, The unit water storage space within the disturbance range of the surrounding rock at different mining stages is integrally solved to obtain the total water storage space within the disturbance range; the historical working face water inflow and the total water storage space within the disturbance range are fitted and analyzed to obtain the predicted value of the working face water inflow at different mining stages.

6. The method for dynamic prediction of water inflow based on sandstone water storage space micro-elements as described in claim 1, characterized in that, The acquired multi-dimensional characteristic parameters include at least microstructure, macroscopic mechanical parameters, and hydrophysical property parameters; wherein, the microstructure parameters include pore type, pore size distribution, pore connectivity, porosity, lithological composition, degree of cementation, and particle shape; the macroscopic mechanical parameters include compressive strength, tensile strength, shear strength, elastic modulus, Poisson's ratio, shear modulus, and bulk modulus; and the hydrophysical property parameters include permeability coefficient, hydraulic conductivity, water storage coefficient, and specific yield.

7. A dynamic prediction system for water inflow based on sandstone water storage space micro-elements, characterized in that, include: The acquisition module is configured to acquire multi-dimensional feature parameters of coal-bearing strata rocks; The building module is configured to construct a fluid-structure interaction model based on the acquired multi-dimensional feature parameters. The simulation module is configured to simulate the disturbance range of the surrounding rock at different mining stages based on the constructed fluid-structure interaction model; The partitioning module is configured to partition the obtained coal-bearing strata rocks into water-storage micro-elements, thereby obtaining water-storage space micro-elements. The calculation module is configured to calculate the unit water storage space within the surrounding rock disturbance range at different mining stages based on the obtained water storage space micro-element. The prediction module is configured to dynamically predict the water inflow of the working face at different mining stages based on the unit water storage space within the surrounding rock disturbance range at different mining stages, thus completing the dynamic prediction of water inflow based on sandstone water storage space micro-element.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the dynamic prediction method for water inflow based on sandstone water storage space micro-elements as described in any one of claims 1-6.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the program, it implements the steps of the dynamic prediction method for water inflow based on sandstone water storage space micro-elements as described in any one of claims 1-6.

10. A computer program product, comprising software code, characterized in that, The program in the software code executes the steps of the dynamic prediction method for water inflow based on sandstone water storage space micro-elements as described in any one of claims 1-6.

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