Underground water flow field simulation method and related device

Abstract

The invention discloses an underground water flow field simulation method, an underground water flow field simulation device, underground water flow field simulation equipment and a computer readable storage medium, and the method comprises the steps: carrying out the collection of multi-source geological data based on drilling basic information, a digital elevation model and a hydrogeological map, and obtaining the multi-source geological data; constructing a three-dimensional geological model based on the multi-source geological data to obtain a three-dimensional geological entity model; performing aquifer recognition based on the profile information of the three-dimensional geological entity model to obtain aquifer spatial distribution; performing groundwater flow field analysis based on the aquifer spatial distribution to obtain groundwater flow field data; and performing model construction based on the groundwater flow field data to obtain a groundwater flow field model. The integrated simulation method for fine description of stratums, automatic identification of aquifers, flow field feature analysis and comprehensive evaluation of thermal reservoirs is realized, so that the precision and efficiency of geothermal resource exploration evaluation are improved.

Description

Technical Field

[0001] This invention belongs to the field of geological exploration technology, and more specifically, relates to a groundwater flow field simulation method, a groundwater flow field simulation device, a groundwater flow field simulation equipment, and a computer-readable storage medium. Background Technology

[0002] Geothermal energy, as a clean and renewable energy source, plays a vital role in global energy structure transformation and the achievement of carbon neutrality goals. The efficient development and utilization of geothermal resources depends on an accurate understanding of the spatial distribution, water-bearing characteristics, and hydrothermal migration patterns of underground geothermal reservoirs. However, underground geothermal reservoirs are often buried deep and have complex geological conditions, making traditional exploration and evaluation methods insufficient for the needs of refined exploration.

[0003] In related technologies, with the development of computer technology and numerical simulation methods, three-dimensional geological modeling technology has been gradually applied to the field of geological exploration. By establishing a three-dimensional geological model, the spatial morphology of underground geological bodies can be intuitively displayed, enabling cross-sectional cutting and stratigraphic structure analysis in any direction. However, existing three-dimensional modeling methods often employ simple linear interpolation or Kriging interpolation methods when processing sparse borehole data, making it difficult to accurately depict the undulations and pinch-out characteristics of stratigraphic interfaces. Simultaneously, the lack of systematic technical methods for identifying and evaluating multi-layered aquifer systems leads to low accuracy in predicting thermal reservoirs. Furthermore, in groundwater flow field simulation, traditional analytical methods and finite difference methods require significant simplification of aquifer systems, making it difficult to handle complex geological boundaries and heterogeneous characteristics. Although the finite element method has advantages in handling complex boundaries, the modeling process is complex and requires highly skilled technicians.

[0004] Therefore, how to make full use of limited borehole data to realize an integrated simulation method for fine stratigraphic characterization, automatic aquifer identification, flow field characteristic analysis, and comprehensive evaluation of geothermal reservoirs, so as to improve the accuracy and efficiency of geothermal resource exploration and evaluation, is a key issue of concern to those skilled in the art. Summary of the Invention

[0005] The purpose of this application is to provide a groundwater flow field simulation method, a groundwater flow field simulation device, a groundwater flow field simulation equipment, and a computer-readable storage medium, which integrates a simulation method for fine stratigraphic characterization, automatic aquifer identification, flow field characteristic analysis, and comprehensive evaluation of geothermal reservoirs, thereby improving the accuracy and efficiency of geothermal resource exploration and evaluation.

[0006] To address the aforementioned deficiencies or improvement needs of existing technologies, this invention provides a groundwater flow field simulation method, comprising: Multi-source geological data were obtained by collecting multi-source geological data based on borehole basic information, digital elevation model, and hydrogeological map. A three-dimensional geological model is constructed based on the multi-source geological data to obtain a three-dimensional geological entity model; Aquifer identification is performed based on the profile information of the three-dimensional geological entity model to obtain the spatial distribution of aquifers; Groundwater flow field analysis was performed based on the spatial distribution of the aquifer to obtain groundwater flow field data. A groundwater flow field model is obtained by constructing a model based on the groundwater flow field data.

[0007] Optionally, multi-source geological data can be acquired based on borehole foundation information, digital elevation model, and hydrogeological map to obtain multi-source geological data, including: Based on the basic information of each borehole and the corresponding borehole lithology and stratigraphic data, the borehole data is obtained by digital processing. The digital elevation model is interpolated to obtain terrain elevation data; Hydrogeological parameters are obtained by acquiring data from the aforementioned hydrogeological map; The borehole data, the topographic elevation data, and the hydrogeological parameters are used as the multi-source geological data.

[0008] Optionally, a three-dimensional geological model is constructed based on the multi-source geological data to obtain a three-dimensional geological entity model, including: The borehole data is imported into a world coordinate system based on the terrain elevation data, and the boreholes are connected to obtain a three-dimensional stratigraphic correlation framework. The stratigraphic interface is generated based on the irregular triangular mesh interpolation algorithm to obtain stratigraphic interface data; Multiple stratigraphic interface data are spatially overlaid and spatially closed to obtain stratigraphic entities; By adding lithological information and hydrogeological parameters to the stratigraphic entity, the three-dimensional geological entity model is obtained.

[0009] Optionally, aquifer identification is performed based on the profile information of the three-dimensional geological entity model to obtain the spatial distribution of aquifers, including: The three-dimensional geological entity model is cut into multiple directions to obtain multiple two-dimensional geological profiles; Aquifers were identified based on lithological permeability classification data for the multiple two-dimensional geological profiles, and the spatial distribution of the aquifers was obtained.

[0010] Optionally, groundwater flow field analysis is performed based on the spatial distribution of the aquifer to obtain groundwater flow field data, including: Based on the regional hydrogeological conditions, boundary conditions are set for the three-dimensional geological entity model to obtain the type information of each model boundary. Based on the spatial distribution of the aquifer and the type information of the model boundary, the flow field trend analysis is performed on the three-dimensional geological entity model to obtain the initial groundwater flow field data. The aquifer connectivity is assessed based on the initial groundwater flow field data to obtain the groundwater flow field data.

[0011] This application also provides a groundwater flow field simulation device, comprising: The geological data acquisition module is used to acquire multi-source geological data based on borehole basic information, digital elevation model, and hydrogeological map to obtain multi-source geological data. The geological model construction module is used to construct a three-dimensional geological model based on the multi-source geological data, thereby obtaining a three-dimensional geological entity model. The model recognition module is used to identify aquifers based on the profile information of the three-dimensional geological entity model, and to obtain the spatial distribution of aquifers. The groundwater flow field analysis module is used to perform groundwater flow field analysis based on the spatial distribution of the aquifer to obtain groundwater flow field data. The simulation results output module is used to construct a model based on the groundwater flow field data to obtain a groundwater flow field model.

[0012] Optionally, the geological data acquisition module is specifically used to digitize the basic information of each borehole and the corresponding borehole lithology and stratigraphy data to obtain borehole data; to interpolate the digital elevation model to obtain topographic elevation data; to acquire data through the hydrogeological map to obtain hydrogeological parameters; and to use the borehole data, the topographic elevation data, and the hydrogeological parameters as the multi-source geological data.

[0013] Optionally, the geological model construction module is specifically used to import the borehole data into a world coordinate system based on the topographic elevation data conversion, connect the boreholes to obtain a three-dimensional stratigraphic correlation framework; generate stratigraphic interfaces on the three-dimensional stratigraphic correlation framework based on an irregular triangular mesh interpolation algorithm to obtain stratigraphic interface data; perform spatial overlay and spatial closure processing on multiple stratigraphic interface data to obtain a stratigraphic entity; and add lithological information and hydrogeological parameters to the stratigraphic entity to obtain the three-dimensional geological entity model.

[0014] This application also provides a groundwater flow field simulation device, including: Memory, used to store computer programs; A processor is used to implement the steps of the groundwater flow field simulation method as described above when executing the computer program.

[0015] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the groundwater flow field simulation method as described above.

[0016] The groundwater flow field simulation method provided in this application includes: acquiring multi-source geological data based on borehole foundation information, digital elevation model, and hydrogeological map to obtain multi-source geological data; constructing a three-dimensional geological model based on the multi-source geological data to obtain a three-dimensional geological entity model; identifying aquifers based on the profile information of the three-dimensional geological entity model to obtain the spatial distribution of aquifers; analyzing the groundwater flow field based on the spatial distribution of aquifers to obtain groundwater flow field data; and constructing a model based on the groundwater flow field data to obtain a groundwater flow field model.

[0017] It has the following beneficial effects: By systematically acquiring and fusing multi-source geological data, the limitations of traditional single-source data sources were overcome, enabling comprehensive acquisition of geological information. The three-dimensional geological entity model constructed based on multi-source data can accurately depict the spatial morphology of underground geological structures, providing a reliable three-dimensional scene for subsequent analysis. Automatic aquifer identification was achieved through cross-sectional analysis of the three-dimensional model, accurately determining the location of groundwater and avoiding the subjectivity and uncertainty of manual identification. Groundwater flow field analysis based on this data can quantitatively reveal the movement patterns of groundwater and clarify the relationships between recharge, runoff, and discharge. The final constructed groundwater flow field model achieves visualized expression and dynamic prediction of flow field characteristics, providing a scientific basis for groundwater resource assessment, development plan formulation, and environmental impact assessment, significantly improving the accuracy and efficiency of groundwater exploration and evaluation. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0019] Figure 1 A flowchart illustrating a groundwater flow field simulation method provided in this application embodiment; Figure 2 This is a schematic diagram of the structure of a groundwater flow field simulation device provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of the groundwater flow field simulation device provided in the embodiments of this application. Detailed Implementation

[0020] The purpose of this application is to provide a groundwater flow field simulation method, a groundwater flow field simulation device, a groundwater flow field simulation equipment, and a computer-readable storage medium, which integrates a simulation method for fine stratigraphic characterization, automatic aquifer identification, flow field characteristic analysis, and comprehensive evaluation of geothermal reservoirs, thereby improving the accuracy and efficiency of geothermal resource exploration and evaluation.

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0022] The following embodiment illustrates a groundwater flow field simulation method provided in this application.

[0023] Please refer to Figure 1 , Figure 1 This is a flowchart of a groundwater flow field simulation method provided in an embodiment of this application.

[0024] In this embodiment, the method may include: S101, based on borehole foundation information, digital elevation model, and hydrogeological map, multi-source geological data were collected to obtain multi-source geological data; This step aims to collect multi-source geological data based on borehole foundation information, digital elevation model, and hydrogeological map.

[0025] This step involves integrating geological data from different sources and of different types to construct a unified data foundation. Borehole data provides direct evidence of underground strata, including key parameters such as lithology, thickness, and depth. Digital elevation models reflect surface topographic relief characteristics, determining groundwater recharge conditions and flow trends. Hydrogeological maps contain macroscopic information such as regional groundwater types, water level distribution, and hydraulic connections. Through the acquisition and fusion of multi-source data, the geological and hydrological characteristics of the study area can be comprehensively grasped from three dimensions: point (borehole), surface (topography), and domain (hydrogeology).

[0026] Optionally, this step includes: Based on the basic information of each borehole and the corresponding borehole lithology and stratigraphy data, the borehole data is obtained through digital processing; the digital elevation model is interpolated to obtain topographic elevation data; hydrogeological parameters are obtained through hydrogeological maps; and the borehole data, topographic elevation data, and hydrogeological parameters are used as multi-source geological data.

[0027] Optionally, the basic borehole information should first be standardized. The borehole number, coordinates, borehole elevation, and lithological stratification data should be uniformly entered into a database, and a lithological classification and coding system should be established to categorize complex lithological descriptions into standard types such as mudstone, siltstone, fine sandstone, gravelly sandstone, and conglomerate, laying the foundation for subsequent quantitative analysis. Secondly, a digital elevation model of the study area should be acquired through satellite remote sensing or aerial surveying, with a resolution generally not less than 30 meters, and its projected coordinate system should be uniformly converted to the borehole coordinate system. Finally, the hydrogeological map should be digitized, extracting information such as groundwater type zoning, isostatic lines, spring distribution, and groundwater flow direction. Vector data and raster data should be spatially registered to ensure spatial consistency across different data sources.

[0028] By establishing an integrated framework for multi-source heterogeneous data, multi-source geological data was obtained, realizing the organic integration of multi-dimensional information such as geology, topography, and hydrology. This provided complete and accurate data support for subsequent 3D modeling, effectively avoiding the limitations of a single data source and improving the comprehensiveness and reliability of geological understanding.

[0029] S102, Based on multi-source geological data, a three-dimensional geological model is constructed to obtain a three-dimensional geological entity model; Building upon S101, this step aims to construct a three-dimensional geological model based on multi-source geological data, thereby obtaining a three-dimensional geological entity model.

[0030] The construction of a 3D geological model is the process of transforming discrete borehole data and isometric topographic data into a continuous 3D geological body. Since boreholes are spatially discrete, direct connections would result in discontinuities and inconsistencies in stratigraphic interfaces; therefore, appropriate spatial interpolation methods are needed to reconstruct the 3D morphology of the strata. Simultaneously, the construction of the geological body must adhere to geological principles, considering factors such as the sedimentary sequence of strata and tectonic deformation to ensure the geological validity of the model.

[0031] Optionally, this step may include: Step 1: Import the borehole data into the world coordinate system based on terrain elevation data transformation, connect the boreholes, and obtain a three-dimensional stratigraphic correlation framework. Step 2: Generate stratigraphic interfaces for the three-dimensional stratigraphic correlation framework based on the irregular triangular mesh interpolation algorithm to obtain stratigraphic interface data; Step 3: Spatial overlay and spatial closure processing are performed on multiple stratigraphic interface data to obtain the stratigraphic entity; Step 4: Add lithological information and hydrogeological parameters to the stratigraphic entity to obtain a three-dimensional geological entity model.

[0032] Optionally, the core of the model construction is the use of an irregular triangular mesh interpolation algorithm. This algorithm can well adapt to the uneven distribution of boreholes, connecting discrete points into a continuous surface by constructing a Delaunay triangular mesh. In specific implementation, firstly, control points of each stratigraphic interface are extracted based on borehole layer data, including the three-dimensional coordinates of the top and bottom plates of the strata; then, TIN interpolation is performed for each stratigraphic interface to generate a triangular mesh model of that interface; during the interpolation process, a reasonable search radius (usually 1.5-2 times the distance between the nearest boreholes) and weighting function (such as inverse distance weighting or natural neighborhood method) are set to ensure the smoothness and continuity of the interpolation results; for sparse data areas, virtual control points are set based on geological knowledge to avoid unreasonable stratigraphic morphology; finally, the stratigraphic interfaces are spatially superimposed in order from newest to oldest, and closed stratigraphic entities are generated through Boolean operations and assigned corresponding lithological properties.

[0033] By constructing a three-dimensional geological entity model, the visualization of underground geological structures is realized, enabling the observation of the spatial distribution characteristics of strata from any angle and direction. This provides an intuitive three-dimensional scene for geological analysis. At the same time, the digital characteristics of the model facilitate quantitative calculations and spatial analysis, greatly improving the accuracy and efficiency of geological research.

[0034] S103, Aquifer identification is performed based on the profile information of the three-dimensional geological entity model to obtain the spatial distribution of aquifers; Building upon S102, this step aims to identify aquifers based on the profile information of a three-dimensional geological entity model, thereby obtaining the spatial distribution of aquifers.

[0035] Aquifer identification is a crucial step in groundwater flow field simulation, requiring the accurate identification of strata with water storage and conduction capabilities from complex geological structures. Three-dimensional geological models provide spatial morphology and lithological information of the strata. By performing multi-directional cross-sectional cutting on the model, the internal structure and lateral variation characteristics of the strata can be comprehensively analyzed, providing a reliable basis for aquifer identification.

[0036] Optionally, this step may include: Step 1: Perform multi-directional cross-sectional cutting on the three-dimensional geological entity model to obtain multiple two-dimensional geological cross-sections; Step 2: Based on lithological permeability classification data, aquifers are identified in multiple two-dimensional geological profiles to obtain the spatial distribution of aquifers.

[0037] Optionally, the identification process first involves systematically cutting the three-dimensional geological model into sections, including longitudinal sections along the main structural trend and transverse sections perpendicular to the structure. The spacing between sections is determined according to the required research accuracy, generally 1 / 5 to 1 / 10 of the width of the study area. On each section, aquifers are identified based on the hydrogeological characteristics of the lithology. Conglomerate and gravelly sandstone are identified as strong aquifers due to their high porosity and good connectivity, with permeability coefficients typically greater than 10^-4 m / s. Fine sandstone and siltstone are identified as medium aquifers, with permeability coefficients between 10^-6 and 10^-4 m / s. Mudstone and silty mudstone are identified as aquitards due to their low porosity and poor permeability, with permeability coefficients less than 10^-6 m / s. Simultaneously, the thickness and continuity of the strata are considered; lenticular sand bodies with a thickness of less than 2 meters or a lateral extension of less than 1 kilometer are not considered regional aquifers. For strata with well-developed structural fractures, even dense lithology may constitute an aquifer, requiring further structural analysis for determination.

[0038] Finally, the aquifer information identified from each profile is spatially interpolated and merged to generate a three-dimensional spatial distribution model of the aquifer.

[0039] By systematically identifying aquifers, the occurrence space and migration channels of groundwater were clarified. The spatial distribution of the identified aquifers not only included geometric parameters such as stratum, thickness, and burial depth, but also hydrogeological parameters such as permeability and water-bearing capacity. This provided an accurate hydrogeological model for subsequent flow field analysis and effectively improved the accuracy of groundwater resource assessment.

[0040] S104, Groundwater flow field analysis was performed based on the spatial distribution of aquifers to obtain groundwater flow field data; Building upon S103, this step aims to analyze the groundwater flow field based on the spatial distribution of the aquifer to obtain groundwater flow field data.

[0041] Groundwater flow field analysis is a process for understanding the laws governing groundwater movement. By analyzing the spatial distribution characteristics, boundary conditions, and hydraulic parameters of aquifers, it is possible to reveal the recharge, runoff, and discharge processes of groundwater. The spatial distribution of aquifers provides the channels and space for groundwater transport, while flow field analysis studies the direction, velocity, and hydraulic connections of water flow, providing a scientific basis for groundwater resource evaluation and development.

[0042] Optionally, this step may include: Step 1: Set boundary conditions for the three-dimensional geological entity model based on the regional hydrogeological conditions to obtain the type information of each model boundary; Step 2: Based on the spatial distribution of aquifers and the type of model boundaries, perform flow field trend analysis on the three-dimensional geological entity model to obtain initial groundwater flow field data; Step 3: Assess the aquifer connectivity of the initial groundwater flow field data to obtain the groundwater flow field data.

[0043] Optionally, the flow field analysis first determines the model's boundary type and boundary values ​​based on the regional hydrogeological conditions. Mountainous areas are typically designated as constant-head recharge boundaries, rivers or lakes as constant-head discharge boundaries, and boundaries perpendicular to the groundwater flow direction are designated as impermeable boundaries. Then, based on the spatial distribution and connectivity of aquifers, the flow path of groundwater is analyzed, generally following a flow pattern from high-water-level areas to low-water-level areas and from recharge areas to discharge areas. The flow intensity of groundwater is determined by calculating the hydraulic gradient (the ratio of water level difference to flow path); a larger hydraulic gradient indicates a faster flow velocity. For multi-layered aquifer systems, the hydraulic connections between layers need to be analyzed to determine whether there is cross-flow recharge or cross-flow discharge, which mainly depends on the integrity and permeability of the impermeable layer. The influence of tectonic factors is also considered; faults may become dominant channels or water-blocking barriers for groundwater, requiring specific analysis based on the nature and filling conditions of the faults. Finally, the results of all analyses are integrated to generate a groundwater flow field dataset including flow direction, velocity, water level distribution, and recharge-discharge relationships.

[0044] Through systematic flow field analysis, the movement patterns and distribution characteristics of groundwater were revealed, the main sources of recharge and discharge destinations were identified, and dominant flow channels and stagnant areas were identified. This provides an important basis for the rational development and protection of groundwater resources, and also lays the foundation for pollutant transport prediction and groundwater environmental impact assessment.

[0045] S105, a groundwater flow field model is obtained by constructing a model based on groundwater flow field data.

[0046] Building upon S104, this step aims to construct a model based on groundwater flow field data to obtain a groundwater flow field model.

[0047] Among them, the groundwater flow field model is a mathematical expression and visualization of the laws governing groundwater movement. By transforming flow field data into a numerical model, it can quantitatively describe the movement state of groundwater and predict flow field changes under different conditions. The model construction process requires transforming the conceptual model into a mathematical model and solving it through numerical methods, ultimately forming a groundwater flow field model that can be used for analysis and prediction.

[0048] Optionally, the model construction employs the finite difference or finite element method to spatially discretize the study area. Based on the distribution characteristics of the aquifers and the required research accuracy, the model region is divided into regular or irregular grid units. The grid size is generally 50-200 meters in the plane and determined vertically according to the aquifer thickness, ensuring that each major aquifer has at least 2-3 grid layers. Each grid unit is assigned corresponding hydrogeological parameters, including permeability coefficient, specific yield, and storage coefficient. These parameters are initially determined based on lithological characteristics and empirical values, and subsequently optimized through model calibration. The boundary conditions, initial water level, source and sink terms obtained from the flow field analysis are input into the model to establish the governing equations for groundwater flow. The Laplace equation is used for steady flow, and the diffusion equation is used for unsteady flow. The water level values ​​of each grid node are obtained through numerical solution, and then the velocity vector and flow distribution are calculated. Finally, the model results are visualized to generate water level contour maps, streamline maps, and three-dimensional flow field maps, which intuitively display the flow characteristics of groundwater.

[0049] By constructing a groundwater flow field model, a quantitative description and visual representation of groundwater movement has been achieved. This model can not only reproduce the current flow field state but also predict the impact of human activities such as extraction and recharge on the flow field, providing a powerful technical tool for groundwater resource management decisions. At the same time, the digital characteristics of the model facilitate parameter sensitivity analysis and uncertainty assessment, improving the reliability of the prediction results.

[0050] In summary, this embodiment overcomes the limitations of traditional single-source geological data by systematically acquiring and fusing multi-source geological data, achieving comprehensive acquisition of geological information. The three-dimensional geological entity model constructed based on multi-source data can accurately depict the spatial morphology of underground geological structures, providing a reliable three-dimensional scene for subsequent analysis. Automatic aquifer identification is achieved through cross-sectional analysis of the three-dimensional model, accurately determining the location of groundwater and avoiding the subjectivity and uncertainty of manual identification. Groundwater flow field analysis based on this data can quantitatively reveal the movement patterns of groundwater and clarify the relationships between recharge, runoff, and discharge. The final constructed groundwater flow field model achieves visualized expression and dynamic prediction of flow field characteristics, providing a scientific basis for groundwater resource assessment, development plan formulation, and environmental impact assessment, significantly improving the accuracy and efficiency of groundwater exploration and evaluation.

[0051] The following describes a groundwater flow field simulation device provided in the embodiments of this application. The groundwater flow field simulation device and the groundwater flow field simulation method described below can be referred to each other.

[0052] Please refer to Figure 2 , Figure 2 This is a schematic diagram of the structure of a groundwater flow field simulation device provided in an embodiment of this application.

[0053] In this embodiment, the device may include: The geological data acquisition module 100 is used to acquire multi-source geological data based on borehole basic information, digital elevation model and hydrogeological map to obtain multi-source geological data. The geological model construction module 200 is used to construct a three-dimensional geological model based on multi-source geological data to obtain a three-dimensional geological entity model. The model recognition module 300 is used to identify aquifers based on the profile information of a three-dimensional geological entity model, and obtain the spatial distribution of aquifers. The groundwater flow field analysis module 400 is used to perform groundwater flow field analysis based on the spatial distribution of aquifers and obtain groundwater flow field data. The simulation result output module 500 is used to build a model based on groundwater flow field data and obtain a groundwater flow field model.

[0054] Optionally, a geological data acquisition module is used to digitize the basic information of each borehole and the corresponding borehole lithology and stratigraphy data to obtain borehole data; to interpolate the digital elevation model to obtain topographic elevation data; to acquire data through hydrogeological maps to obtain hydrogeological parameters; and to use the borehole data, topographic elevation data, and hydrogeological parameters as multi-source geological data.

[0055] Optionally, the geological model construction module is used to import borehole data into a world coordinate system based on topographic elevation data transformation, connect the boreholes to obtain a three-dimensional stratigraphic correlation framework; generate stratigraphic interfaces on the three-dimensional stratigraphic correlation framework based on an irregular triangular mesh interpolation algorithm to obtain stratigraphic interface data; perform spatial overlay and spatial closure processing on multiple stratigraphic interface data to obtain stratigraphic entities; and add lithological information and hydrogeological parameters to the stratigraphic entities to obtain a three-dimensional geological entity model.

[0056] This application also provides groundwater flow field simulation equipment; please refer to it. Figure 3 , Figure 3 This is a schematic diagram of the structure of the groundwater flow field simulation device provided in the embodiments of this application. The groundwater flow field simulation device may include: Memory, used to store computer programs; A processor, used to execute computer programs, can implement the steps of any of the groundwater flow field simulation methods described above.

[0057] like Figure 3 The diagram shows the structural composition of a groundwater flow field simulation device. The device may include a processor 10, a memory 11, a communication interface 12, and a communication bus 13. The processor 10, memory 11, and communication interface 12 all communicate with each other via the communication bus 13.

[0058] In this embodiment, the processor 10 may be a central processing unit (CPU), an application-specific integrated circuit, a digital signal processor, a field-programmable gate array, or other programmable logic devices.

[0059] The processor 10 can call the program stored in the memory 11. Specifically, the processor 10 can execute the operations in the embodiment of the abnormal IP identification method.

[0060] The memory 11 is used to store one or more programs. The programs may include program code, which includes computer operation instructions. In this embodiment, the memory 11 stores at least a program for implementing the following functions: Multi-source geological data were obtained by collecting multi-source geological data based on borehole basic information, digital elevation model, and hydrogeological map. A three-dimensional geological model is constructed based on multi-source geological data to obtain a three-dimensional geological entity model. Aquifer identification is performed based on the profile information of a three-dimensional geological entity model to obtain the spatial distribution of aquifers; Groundwater flow field analysis was conducted based on the spatial distribution of aquifers to obtain groundwater flow field data. A groundwater flow field model is obtained by constructing a model based on groundwater flow field data.

[0061] In one possible implementation, the memory 11 may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function; and the data storage area may store data created during use.

[0062] In addition, memory 11 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0063] Communication interface 12 can be an interface for the communication module, used to connect with other devices or systems.

[0064] Of course, it should be noted that, Figure 3 The structure shown does not constitute a limitation on the groundwater flow field simulation device in the embodiments of this application. In practical applications, the groundwater flow field simulation device may include more than Figure 3 More or fewer components as shown, or combinations of certain components.

[0065] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the steps of any of the above-described groundwater flow field simulation methods.

[0066] The computer-readable storage medium may include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0067] For a description of the computer-readable storage medium provided in this application, please refer to the above method embodiments; further details will not be repeated here.

[0068] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0069] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0070] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0071] The foregoing has provided a detailed description of the groundwater flow field simulation method, groundwater flow field simulation device, groundwater flow field simulation equipment, and computer-readable storage medium provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are merely for the purpose of helping to understand the method and its core ideas. It should be noted that those skilled in the art can make various improvements and modifications to this application without departing from its principles, and these improvements and modifications also fall within the protection scope of the claims of this application.

Claims

1. A method for simulating groundwater flow field, characterized in that, include: Multi-source geological data were obtained by collecting multi-source geological data based on borehole basic information, digital elevation model, and hydrogeological map. A three-dimensional geological model is constructed based on the multi-source geological data to obtain a three-dimensional geological entity model; Aquifer identification is performed based on the profile information of the three-dimensional geological entity model to obtain the spatial distribution of aquifers; Groundwater flow field analysis was performed based on the spatial distribution of the aquifer to obtain groundwater flow field data. A groundwater flow field model is obtained by constructing a model based on the groundwater flow field data.

2. The groundwater flow field simulation method according to claim 1, characterized in that, Multi-source geological data were acquired based on borehole foundation information, digital elevation models, and hydrogeological maps, resulting in multi-source geological data, including: Based on the basic information of each borehole and the corresponding borehole lithology and stratigraphic data, the borehole data is obtained by digital processing. The digital elevation model is interpolated to obtain terrain elevation data; Hydrogeological parameters are obtained by acquiring data from the aforementioned hydrogeological map; The borehole data, the topographic elevation data, and the hydrogeological parameters are used as the multi-source geological data.

3. The groundwater flow field simulation method according to claim 2, characterized in that, A three-dimensional geological model is constructed based on the aforementioned multi-source geological data to obtain a three-dimensional geological entity model, including: The borehole data is imported into a world coordinate system based on the terrain elevation data, and the boreholes are connected to obtain a three-dimensional stratigraphic correlation framework. The stratigraphic interface is generated based on the irregular triangular mesh interpolation algorithm to obtain stratigraphic interface data; Multiple stratigraphic interface data are spatially overlaid and spatially closed to obtain stratigraphic entities; By adding lithological information and hydrogeological parameters to the stratigraphic entity, the three-dimensional geological entity model is obtained.

4. The groundwater flow field simulation method according to claim 3, characterized in that, Aquifer identification is performed based on the profile information of the three-dimensional geological entity model to obtain the spatial distribution of aquifers, including: The three-dimensional geological entity model is cut into multiple directions to obtain multiple two-dimensional geological profiles; Aquifers were identified based on lithological permeability classification data for the multiple two-dimensional geological profiles, and the spatial distribution of the aquifers was obtained.

5. The groundwater flow field simulation method according to claim 4, characterized in that, Groundwater flow field analysis was performed based on the spatial distribution of the aquifer to obtain groundwater flow field data, including: Based on the regional hydrogeological conditions, boundary conditions are set for the three-dimensional geological entity model to obtain the type information of each model boundary. Based on the spatial distribution of the aquifer and the type information of the model boundary, the flow field trend analysis is performed on the three-dimensional geological entity model to obtain the initial groundwater flow field data. The aquifer connectivity is assessed based on the initial groundwater flow field data to obtain the groundwater flow field data.

6. A groundwater flow field simulation device, characterized in that, include: The geological data acquisition module is used to acquire multi-source geological data based on borehole basic information, digital elevation model, and hydrogeological map to obtain multi-source geological data. The geological model construction module is used to construct a three-dimensional geological model based on the multi-source geological data, thereby obtaining a three-dimensional geological entity model. The model recognition module is used to identify aquifers based on the profile information of the three-dimensional geological entity model, and to obtain the spatial distribution of aquifers. The groundwater flow field analysis module is used to perform groundwater flow field analysis based on the spatial distribution of the aquifer to obtain groundwater flow field data. The simulation results output module is used to construct a model based on the groundwater flow field data to obtain a groundwater flow field model.

7. The groundwater flow field simulation device according to claim 6, characterized in that, The geological data acquisition module is specifically used to digitize the basic information of each borehole and the corresponding borehole lithology and stratigraphy data to obtain borehole data; to interpolate the digital elevation model to obtain topographic elevation data; to acquire data through the hydrogeological map to obtain hydrogeological parameters; and to use the borehole data, the topographic elevation data, and the hydrogeological parameters as the multi-source geological data.

8. The groundwater flow field simulation device according to claim 7, characterized in that, The geological model construction module is specifically used to import the borehole data into a world coordinate system based on the topographic elevation data, connect the boreholes to obtain a three-dimensional stratigraphic correlation framework; generate stratigraphic interfaces on the three-dimensional stratigraphic correlation framework based on an irregular triangular mesh interpolation algorithm to obtain stratigraphic interface data; perform spatial overlay and spatial closure processing on multiple stratigraphic interface data to obtain a stratigraphic entity; and add lithological information and hydrogeological parameters to the stratigraphic entity to obtain the three-dimensional geological entity model.

9. A groundwater flow field simulation device, characterized in that, include: Memory, used to store computer programs; A processor for executing the computer program to implement the steps of the groundwater flow field simulation method as described in any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the groundwater flow field simulation method as described in any one of claims 1 to 5.

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