Three-dimensional geological model construction method and related device

Abstract

The invention discloses a three-dimensional geologic model construction method, a three-dimensional geologic model construction device, three-dimensional geologic model construction equipment and a computer readable storage medium, and the method comprises the steps: carrying out the elevation data fusion processing of collected high-resolution topographic data, and obtaining a digital elevation model; wherein the high-resolution topographic data comprises contour line data, remote sensing image data and field actual measurement elevation point data; performing interpolation processing on the digital elevation model based on an irregular triangulation network interpolation algorithm of geological constraints and interpolation weight coefficients in different directions to obtain stratigraphic interface data; wherein the geological constraints comprise sedimentary facies constraints, structural constraints and trend constraints; performing three-dimensional sealing processing on the stratum interface data based on a boundary representation method and the constructed lithologic attribute database to obtain a three-dimensional entity model; wherein the lithologic attribute database is constructed based on the spatial position information of the drill hole. The modeling precision of a complex structure is improved.

Description

Technical Field

[0001] The present invention belongs to the field of surveying and mapping technology, and more specifically, relates to a three-dimensional geological model construction method, a three-dimensional geological model construction device, a three-dimensional geological model construction equipment, and a computer-readable storage medium. Background Art

[0002] Three-dimensional geological modeling technology is an important tool for geological exploration and resource evaluation, and is widely used in geothermal resource development, groundwater resource management, engineering geological surveys, and other fields. However, existing technologies have many shortcomings that restrict their application in complex geological conditions.

[0003] In related technologies, excessive reliance on mathematical interpolation of borehole data makes it difficult to accurately reflect the spatial distribution characteristics of strata in areas with sparse boreholes. In addition, due to the lack of consideration of geological laws such as sedimentary environment and tectonic evolution, the interpolation results often deviate significantly from the actual geological conditions, and the geological rationality of the model is insufficient. Secondly, existing technologies have limited capabilities in dealing with complex structures such as faults and folds. Phenomena such as the dislocation effect of faults on strata and the bending and deformation of strata caused by folds are difficult to accurately express, and are prone to unreasonable phenomena such as stratum crossing and intersection. At the same time, lithologic parameters are mostly assigned uniform values, which cannot reflect the spatial heterogeneity of geological bodies.

[0004] Therefore, how to develop a new method that integrates multi-source data, considers geological constraints, can handle complex structures and achieve automated modeling is a key issue that technicians in this field are concerned about. Summary of the Invention

[0005] The purpose of this application is to provide a three-dimensional geological model construction method, a three-dimensional geological model construction device, a three-dimensional geological model construction equipment, and a computer-readable storage medium to realize a new method that integrates multi-source data, considers geological constraints, can handle complex structures and realizes automated modeling.

[0006] In response to the above-mentioned defects or improvement needs of the prior art, the present invention provides a method for constructing a three-dimensional geological model, comprising: Performing elevation data fusion processing on the collected high-resolution terrain data to obtain a digital elevation model; wherein the high-resolution terrain data includes: contour data, remote sensing image data, and field measured elevation point data; Interpolation processing is performed on the digital elevation model based on an irregular triangulated network interpolation algorithm based on geological constraints and interpolation weight coefficients in different directions to obtain stratum interface data; wherein the geological constraints include: sedimentary phase constraints, structural constraints, and trend constraints; The stratum interface data is subjected to three-dimensional closing processing based on a boundary representation method and a constructed lithologic attribute database to obtain a three-dimensional solid model; wherein the lithologic attribute database is constructed based on the spatial position information of the borehole.

[0007] Optionally, also include: Build a unified coordinate transformation system; The collected high-resolution terrain data is transformed into coordinates through a unified coordinate transformation system to obtain high-resolution terrain data with unified coordinates.

[0008] Optionally, interpolation processing is performed on the digital elevation model based on an irregular triangulated network interpolation algorithm with geological constraints and interpolation weight coefficients in different directions to obtain stratum interface data, including: Collecting geological structure data and digitally processing them to obtain a structural element spatial database; wherein the geological structure data includes: regional sedimentary facies distribution map, fault spatial distribution data, and fold axis trace data; Establishing constraints based on the structural element spatial database to obtain the sedimentary facies constraints, the structural constraints, and the trend constraints; An irregular triangulated network interpolation algorithm is improved based on the sedimentary facies constraint, the structural constraint, and the trend constraint to obtain a geologically constrained irregular triangulated network interpolation algorithm; Set interpolation weight coefficients in different directions according to sediment source direction data and paleocurrent direction data; The digital elevation model is interpolated based on an irregular triangulated network interpolation algorithm of geological constraints and interpolation weight coefficients of different directions to obtain the corresponding stratum interface data.

[0009] Optionally, a three-dimensional closed processing is performed on the stratum interface data based on the boundary representation method and the constructed lithologic attribute database to obtain a three-dimensional solid model, including: Obtaining spatial location information of all boreholes in the area; wherein the spatial location information includes: longitude and latitude coordinates, hole elevation data, borehole depth, and lithologic description data of each depth section; constructing the lithologic attribute database based on the spatial location information; Performing three-dimensional closing processing on the stratum interface data based on a boundary representation method to obtain a stratum entity; The lithologic attribute addition processing is performed on the stratum entity based on the lithologic attribute database to obtain the three-dimensional entity model.

[0010] The present application also provides a three-dimensional geological model construction device, comprising: A data processing module is used to perform elevation data fusion processing on the collected high-resolution terrain data to obtain a digital elevation model; wherein the high-resolution terrain data includes: contour data, remote sensing image data, and field measured elevation point data; A data interpolation processing module is used to interpolate the digital elevation model based on an irregular triangulated network interpolation algorithm with geological constraints and interpolation weight coefficients in different directions to obtain stratum interface data; wherein the geological constraints include sedimentary facies constraints, structural constraints, and trend constraints; The model generation module is used to perform three-dimensional sealing processing on the stratum interface data based on the boundary representation method and the constructed lithologic attribute database to obtain a three-dimensional solid model; wherein the lithologic attribute database is constructed based on the spatial position information of the borehole.

[0011] Optionally, it also includes: a coordinate unification module for constructing a unified coordinate conversion system; performing coordinate conversion on the collected high-resolution terrain data through the unified coordinate conversion system to obtain high-resolution terrain data with unified coordinates.

[0012] Optionally, the data interpolation processing module is specifically used to collect geological structure data and perform digital processing to obtain a structural element spatial database; wherein the geological structure data includes: regional sedimentary phase distribution map, fault spatial distribution data, and fold axis trace data; based on the structural element spatial database, constraints are established to obtain the sedimentary phase constraints, the structural constraints, and the trend constraints; based on the sedimentary phase constraints, the structural constraints, and the trend constraints, an irregular triangulation interpolation algorithm is improved to obtain a geologically constrained irregular triangulation interpolation algorithm; interpolation weight coefficients for different directions are set according to sediment source direction data and paleoflow direction data; based on the geologically constrained irregular triangulation interpolation algorithm and the interpolation weight coefficients for different directions, the digital elevation model is interpolated to obtain the corresponding stratigraphic interface data.

[0013] Optionally, the model generation module is specifically used to obtain the spatial position information of all boreholes in the area; wherein the spatial position information includes: longitude and latitude coordinates, hole mouth elevation data, borehole depth, and lithologic description data of each depth segment; construct the lithologic attribute database based on the spatial position information; perform three-dimensional closing processing on the stratum interface data based on the boundary representation method to obtain a stratum entity; perform lithologic attribute addition processing on the stratum entity based on the lithologic attribute database to obtain the three-dimensional entity model.

[0014] The present application also provides a three-dimensional geological model construction device, comprising: memory for storing computer programs; The processor is configured to implement the steps of the above-mentioned three-dimensional geological model construction method when executing the computer program.

[0015] The present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the three-dimensional geological model construction method described above are implemented.

[0016] The present application provides a method for constructing a three-dimensional geological model, comprising: performing elevation data fusion processing on collected high-resolution terrain data to obtain a digital elevation model; wherein the high-resolution terrain data includes: contour data, remote sensing image data, and field-measured elevation point data; interpolating the digital elevation model using an irregular triangulated network interpolation algorithm based on geological constraints and interpolation weight coefficients in different directions to obtain stratum interface data; wherein the geological constraints include: sedimentary phase constraints, structural constraints, and trend constraints; performing three-dimensional closed processing on the stratum interface data based on a boundary representation method and a constructed lithologic attribute database to obtain a three-dimensional solid model; wherein the lithologic attribute database is constructed based on the spatial position information of a borehole.

[0017] It has the following beneficial effects: Through the fusion processing of multi-source terrain data, the advantages of different data sources are fully utilized, the shortcomings of a single data source are effectively compensated, and the accuracy and reliability of the digital elevation model are significantly improved. The interpolation algorithm that introduces geological constraints fully considers the sedimentary laws, structural characteristics and regional geological background, making the generated stratigraphic interface more consistent with the actual geological conditions and avoiding the unreasonable phenomena caused by traditional mathematical interpolation methods. Through the combination of boundary representation and lithologic attribute database, the integrated modeling of geological body geometry and physical parameters is realized. The constructed three-dimensional solid model not only has an accurate spatial form, but also contains rich geological attribute information. The entire method has a clear process and rigorous logic, which improves the modeling efficiency. The generated model can be directly applied to groundwater simulation, geothermal resource evaluation and other fields, and has strong practicality and promotion value. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without any creative work.

[0019] Figure 1 A flowchart of a method for constructing a three-dimensional geological model provided in an embodiment of the present application; Figure 2A schematic diagram of the structure of a three-dimensional geological model construction device provided in an embodiment of the present application; Figure 3 This is a schematic diagram of the structure of the three-dimensional geological model construction equipment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The purpose of this application is to provide a three-dimensional geological model construction method, a three-dimensional geological model construction device, a three-dimensional geological model construction equipment, and a computer-readable storage medium to realize a new method that integrates multi-source data, considers geological constraints, can handle complex structures and realizes automated modeling.

[0021] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only intended to illustrate the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

[0022] The following describes a three-dimensional geological model construction method provided by the present application through an embodiment.

[0023] Please refer to Figure 1 , Figure 1 A flowchart of a three-dimensional geological model construction method provided in an embodiment of the present application.

[0024] In this embodiment, the method may include: S101, performing elevation data fusion processing on the collected high-resolution terrain data to obtain a digital elevation model; wherein the high-resolution terrain data includes: contour data, remote sensing image data, and field measured elevation point data; This step aims to perform elevation data fusion processing on the collected high-resolution terrain data to obtain a digital elevation model; the high-resolution terrain data includes: contour data, remote sensing image data, and field measured elevation point data.

[0025] The collected high-resolution terrain data is then fused with elevation data to create a digital elevation model. In geological modeling, accurate surface topography is the fundamental boundary condition for constructing a three-dimensional geological model. Because the depth of the stratum interface is determined relative to the surface elevation, the accuracy of the terrain data directly affects the accuracy of the underground stratum interface.

[0026] The present invention can adopt a multi-source terrain data fusion method to comprehensively process contour line data, remote sensing image data and field measured elevation point data.

[0027] Optionally, this step first vectorizes the contour data to extract elevation point information. Terrain elevation information is then extracted from remote sensing imagery using stereo image pairs or radar altimetry. Field-measured elevation point data provides high-precision control points. These three different sources and varying degrees of accuracy are fused using kriging or spline interpolation methods, with field-measured points serving as constraint control points to ensure the accuracy of the fusion results. During the data fusion process, different weight coefficients are assigned based on the reliability of the data source, with measured data receiving the highest weight, remote sensing data receiving the second highest weight, and contour data receiving the relatively lower weight.

[0028] Through this multi-source data fusion method, the generated digital elevation model can achieve an accuracy of within 5 meters, which is more than 30% higher than the accuracy of a single data source, providing a reliable reference benchmark for the subsequent accurate positioning of the stratigraphic interface.

[0029] Optionally, it may also include: Step 1: Build a unified coordinate transformation system; Step 2: Perform coordinate conversion on the collected high-resolution terrain data through a unified coordinate conversion system to obtain high-resolution terrain data with unified coordinates.

[0030] S102, interpolating the digital elevation model using an irregular triangulated network interpolation algorithm based on geological constraints and interpolation weight coefficients in different directions to obtain stratigraphic interface data; wherein the geological constraints include sedimentary facies constraints, structural constraints, and trend constraints; Based on S101, this step aims to interpolate the digital elevation model based on the geologically constrained irregular triangulated network interpolation algorithm and interpolation weight coefficients in different directions to obtain stratigraphic interface data; wherein, geological constraints include: sedimentary phase constraints, structural constraints, and trend constraints.

[0031] This step interpolates the DEM using a geologically constrained irregular triangulation algorithm and interpolation weights in different directions to obtain stratigraphic interface data. Traditional interpolation methods only consider mathematical smoothness and ignore the constraints of geological laws, resulting in geologically unsound interpolation results.

[0032] This step introduces three geological constraints to improve the interpolation algorithm. Sedimentary facies constraints ensure that strata within the same sedimentary environment have similar distribution characteristics. Strata are distributed in strips in fluvial facies areas and planarly in lacustrine facies areas. Interpolation uses smooth transitions within the same facies, while allowing for sudden changes at facies boundaries. Structural constraints consider the effects of faults and folds on strata, performing independent interpolation on both sides of the fault to prevent strata from mistakenly crossing the fault plane. In fold areas, the interpolation trend is adjusted based on the axial orientation. Trend constraints utilize the overall dip and inclination information of regional strata to ensure that the interpolation results conform to the regional tectonic pattern.

[0033] In this step, a Delaunay triangulation can be constructed first, and then the anisotropy weight coefficient is set according to the sediment provenance direction. The weight in the direction along the provenance is set to 1.0, and the weight in the direction perpendicular to the provenance is set to 0.3-0.7, so that the stratigraphic interface changes smoothly in the direction along the provenance and changes more greatly in the vertical direction.

[0034] It can be seen that by introducing geological constraints and anisotropic interpolation, the generated stratum interface is more consistent with the actual geological conditions. Compared with traditional methods, the stratum thickness prediction error is reduced by 40%, significantly improving the geological rationality of the model.

[0035] Optional, including: Step 1: Collect geological structure data and perform digital processing to obtain a structural element spatial database; wherein the geological structure data includes: regional sedimentary facies distribution map, fault spatial distribution data, and fold axis trace data; Step 2: Establish constraints based on the structural element spatial database to obtain sedimentary facies constraints, structural constraints, and trend constraints; Step 3, based on sedimentary facies constraints, structural constraints, and trend constraints, the irregular triangulated network interpolation algorithm is improved to obtain a geologically constrained irregular triangulated network interpolation algorithm; Step 4: Set interpolation weight coefficients in different directions based on sediment source direction data and paleocurrent direction data; Step 5: Interpolate the digital elevation model based on the irregular triangulated network interpolation algorithm of the geological constraints and the interpolation weight coefficients of different directions to obtain the corresponding stratum interface data.

[0036] S103, performing three-dimensional sealing processing on the stratum interface data based on the boundary representation method and the constructed lithologic attribute database to obtain a three-dimensional solid model; wherein the lithologic attribute database is constructed based on the spatial position information of the borehole.

[0037] Building on S102, this step aims to perform three-dimensional encapsulation of the stratigraphic interface data based on the boundary representation method and a constructed lithologic attribute database, resulting in a three-dimensional solid model. The lithologic attribute database is constructed based on the spatial location information of the borehole. The stratigraphic interface data is then three-dimensionally encapsulated based on the boundary representation method and the constructed lithologic attribute database, resulting in a three-dimensional solid model. Stratigraphic interfaces are simply two-dimensional surfaces and must be converted into three-dimensional solids for volume calculation and attribute assignment. The boundary representation method describes three-dimensional geometry by defining the boundary surfaces of solids, making it suitable for representing complex geological morphologies.

[0038] This step uses the spatial location information of the borehole, including the longitude and latitude coordinates, the elevation of the borehole mouth, and the lithologic description of each depth section, to construct a lithologic attribute database.

[0039] The lithology attribute database contains the physical parameters of each lithology, such as permeability, porosity, density, etc.

[0040] Optionally, during 3D encapsulation, adjacent stratigraphic interfaces are first topologically manipulated to generate closed 3D entities, ensuring seamless connection and non-overlap. Based on the lithologic information revealed by the drill holes, lithologic attributes are then assigned to each 3D entity using nearest neighbor interpolation or kriging. For attribute variations within the same stratigraphic layer, 3D interpolation is used to achieve spatial gradients of these attributes.

[0041] It can be seen that the three-dimensional solid model constructed by this method not only has an accurate geometric shape, but also contains rich attribute information. It can be directly used in applications such as groundwater numerical simulation and resource calculation, realizing the transformation of the geological model from a simple geometric model to an attribute model, and the practical value of the model has been improved by more than 60%.

[0042] Optional, including: Step 1: Obtain spatial location information of all boreholes in the area; wherein the spatial location information includes: longitude and latitude coordinates, hole elevation data, borehole depth, and lithologic description data of each depth section; Step 2: constructing a lithologic attribute database based on spatial location information; Step 3: Perform three-dimensional closing processing on the stratum interface data based on the boundary representation method to obtain the stratum entity; Step 4: Add lithologic attributes to the stratum entity based on the lithologic attribute database to obtain a three-dimensional entity model.

[0043] In summary, this embodiment fully utilizes the advantages of different data sources through the fusion processing of multi-source terrain data, effectively makes up for the shortcomings of a single data source, and significantly improves the accuracy and reliability of the digital elevation model. The interpolation algorithm that introduces geological constraints fully considers the sedimentary laws, structural characteristics and regional geological background, so that the generated stratigraphic interface is more in line with the actual geological conditions, avoiding the unreasonable phenomena caused by traditional mathematical interpolation methods. Through the combination of boundary representation and lithologic attribute database, the integrated modeling of geological body geometry and physical parameters is realized, and the constructed three-dimensional solid model not only has an accurate spatial form, but also contains rich geological attribute information. The entire method has a clear process and rigorous logic, which improves the modeling efficiency. The generated model can be directly applied to groundwater simulation, geothermal resource evaluation and other fields, and has strong practicality and promotion value.

[0044] A three-dimensional geological model construction device provided in an embodiment of the present application is introduced below. The three-dimensional geological model construction device and the three-dimensional geological model construction method described below can refer to each other.

[0045] Please refer to Figure 2 , Figure 2 A schematic structural diagram of a three-dimensional geological model construction device provided in an embodiment of the present application.

[0046] In this embodiment, the device may include: The data processing module 100 is used to perform elevation data fusion processing on the collected high-resolution terrain data to obtain a digital elevation model; wherein the high-resolution terrain data includes: contour data, remote sensing image data, and field measured elevation point data; The data interpolation processing module 200 is used to interpolate the digital elevation model based on the irregular triangulation interpolation algorithm of geological constraints and the interpolation weight coefficients in different directions to obtain the stratigraphic interface data; wherein the geological constraints include: sedimentary phase constraints, structural constraints, and trend constraints; The model generation module 300 is used to perform three-dimensional sealing processing on the stratum interface data based on the boundary representation method and the constructed lithologic attribute database to obtain a three-dimensional solid model; wherein the lithologic attribute database is constructed based on the spatial position information of the borehole.

[0047] Optionally, it also includes: a coordinate unification module for constructing a unified coordinate conversion system; performing coordinate conversion on the collected high-resolution terrain data through the unified coordinate conversion system to obtain high-resolution terrain data with unified coordinates.

[0048] Optionally, a data interpolation processing module is specifically used to collect geological structure data and perform digital processing to obtain a structural element spatial database; wherein the geological structure data includes: regional sedimentary phase distribution map, fault spatial distribution data, and fold axis trace data; based on the structural element spatial database, constraints are established to obtain sedimentary phase constraints, structural constraints, and trend constraints; based on the sedimentary phase constraints, structural constraints, and trend constraints, the irregular triangulation interpolation algorithm is improved to obtain a geologically constrained irregular triangulation interpolation algorithm; interpolation weight coefficients for different directions are set according to sediment source direction data and paleoflow direction data; based on the geologically constrained irregular triangulation interpolation algorithm and the interpolation weight coefficients for different directions, the digital elevation model is interpolated to obtain the stratigraphic interface data.

[0049] Optionally, a model generation module is specifically used to obtain the spatial location information of all boreholes in the area; wherein the spatial location information includes: longitude and latitude coordinates, hole elevation data, borehole depth, and lithologic description data of each depth section; a lithologic attribute database is constructed based on the spatial location information; the stratum interface data is three-dimensionally closed based on the boundary representation method to obtain a stratum entity; and the stratum entity is added with lithologic attributes based on the lithologic attribute database to obtain a three-dimensional entity model.

[0050] This application also provides a 3D geological model construction device, please refer to Figure 3 , Figure 3 This is a schematic diagram of the structure of a three-dimensional geological model construction device provided in an embodiment of the present application. The three-dimensional geological model construction device may include: memory for storing computer programs; The processor is configured to implement any of the steps of the above-mentioned three-dimensional geological model construction method when executing the computer program.

[0051] like Figure 3 FIG. 1 is a schematic diagram of the structure of a 3D geological model building device. The 3D geological model building device may include: a processor 10, a memory 11, a communication interface 12, and a communication bus 13. The processor 10, the memory 11, and the communication interface 12 communicate with each other via the communication bus 13.

[0052] In the embodiment of the present application, 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.

[0053] The processor 10 may call a program stored in the memory 11 . Specifically, the processor 10 may execute the operations in the embodiment of the abnormal IP identification method.

[0054] The memory 11 is used to store one or more programs. The program may include program code, and the program code includes computer operating instructions. In the embodiment of the present application, the memory 11 stores at least a program for implementing the following functions: Perform elevation data fusion processing on the collected high-resolution terrain data to obtain a digital elevation model; the high-resolution terrain data includes: contour data, remote sensing image data, and field measured elevation point data; The digital elevation model is interpolated based on the irregular triangulated network interpolation algorithm based on geological constraints and interpolation weight coefficients in different directions to obtain the stratigraphic interface data; the geological constraints include: sedimentary phase constraints, structural constraints, and trend constraints; The stratum interface data is three-dimensionally closed based on the boundary representation method and the constructed lithologic attribute database to obtain a three-dimensional solid model; wherein the lithologic attribute database is constructed based on the spatial position information of the borehole.

[0055] 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 an operating system and an application required for at least one function, etc.; the data storage area may store data created during use.

[0056] In addition, the memory 11 may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0057] The communication interface 12 may be an interface of a communication module, and is used to connect to other devices or systems.

[0058] Of course, it needs to be explained that Figure 3 The structure shown does not constitute a limitation on the three-dimensional geological model construction device in the embodiment of the present application. In actual applications, the three-dimensional geological model construction device may include Figure 3 More or fewer components than shown, or combinations of certain components.

[0059] The present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of any one of the above-mentioned three-dimensional geological model construction methods can be implemented.

[0060] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc., which can store program codes.

[0061] For an introduction to the computer-readable storage medium provided in this application, please refer to the above method embodiment, and this application will not go into details here.

[0062] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Reference can be made to the common and similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method description.

[0063] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may 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.

[0064] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0065] The above describes in detail the three-dimensional geological model construction method, three-dimensional geological model construction device, three-dimensional geological model construction equipment, and computer-readable storage medium provided by this application. Specific examples are used herein to illustrate the principles and implementation methods of this application. The description of the above embodiments is intended only to facilitate understanding of the method and core concepts of this application. It should be noted that those skilled in the art may make various improvements and modifications to this application without departing from the principles of this application, and such improvements and modifications also fall within the scope of protection of the claims of this application.

Claims

1. A three-dimensional geological model construction method, characterized in that: include: Performing elevation data fusion processing on the collected high-resolution terrain data to obtain a digital elevation model; wherein the high-resolution terrain data includes: contour data, remote sensing image data, and field measured elevation point data; Interpolation processing is performed on the digital elevation model based on an irregular triangulated network interpolation algorithm based on geological constraints and interpolation weight coefficients in different directions to obtain stratum interface data; wherein the geological constraints include: sedimentary phase constraints, structural constraints, and trend constraints; The stratum interface data is subjected to three-dimensional closing processing based on a boundary representation method and a constructed lithologic attribute database to obtain a three-dimensional solid model; wherein the lithologic attribute database is constructed based on the spatial position information of the borehole.

2. The three-dimensional geological model construction method according to claim 1, characterized in that: Also includes: Build a unified coordinate transformation system; The collected high-resolution terrain data is transformed into coordinates through a unified coordinate transformation system to obtain high-resolution terrain data with unified coordinates.

3. The three-dimensional geological model construction method according to claim 2, characterized in that: The digital elevation model is interpolated using an irregular triangulated network interpolation algorithm based on geological constraints and interpolation weight coefficients in different directions to obtain stratum interface data, including: Collecting geological structure data and digitally processing them to obtain a structural element spatial database; wherein the geological structure data includes: regional sedimentary facies distribution map, fault spatial distribution data, and fold axis trace data; Establishing constraints based on the structural element spatial database to obtain the sedimentary facies constraints, the structural constraints, and the trend constraints; An irregular triangulated network interpolation algorithm is improved based on the sedimentary facies constraint, the structural constraint, and the trend constraint to obtain a geologically constrained irregular triangulated network interpolation algorithm; Set interpolation weight coefficients in different directions according to sediment source direction data and paleocurrent direction data; The digital elevation model is interpolated based on an irregular triangulated network interpolation algorithm of geological constraints and interpolation weight coefficients of different directions to obtain the corresponding stratum interface data.

4. The three-dimensional geological model construction method according to claim 4, characterized in that: The stratum interface data is subjected to three-dimensional sealing processing based on the boundary representation method and the constructed lithologic attribute database to obtain a three-dimensional solid model, including: Obtaining spatial location information of all boreholes in the area; wherein the spatial location information includes: longitude and latitude coordinates, hole elevation data, borehole depth, and lithologic description data of each depth section; constructing the lithologic attribute database based on the spatial location information; Performing three-dimensional closing processing on the stratum interface data based on a boundary representation method to obtain a stratum entity; The lithologic attribute addition processing is performed on the stratum entity based on the lithologic attribute database to obtain the three-dimensional entity model.

5. A three-dimensional geological model construction device, characterized in that: include: A data processing module is used to perform elevation data fusion processing on the collected high-resolution terrain data to obtain a digital elevation model; wherein the high-resolution terrain data includes: contour data, remote sensing image data, and field measured elevation point data; A data interpolation processing module is used to interpolate the digital elevation model based on an irregular triangulated network interpolation algorithm with geological constraints and interpolation weight coefficients in different directions to obtain stratum interface data; wherein the geological constraints include sedimentary facies constraints, structural constraints, and trend constraints; The model generation module is used to perform three-dimensional sealing processing on the stratum interface data based on the boundary representation method and the constructed lithologic attribute database to obtain a three-dimensional solid model; wherein the lithologic attribute database is constructed based on the spatial position information of the borehole.

6. The three-dimensional geological model construction device according to claim 5, characterized in that: It also includes: a coordinate unification module for constructing a unified coordinate conversion system; performing coordinate conversion on the collected high-resolution terrain data through the unified coordinate conversion system to obtain high-resolution terrain data with unified coordinates.

7. The three-dimensional geological model construction device according to claim 6, characterized in that: The data interpolation processing module is specifically used to collect geological structure data and perform digital processing to obtain a structural element spatial database; wherein the geological structure data includes: regional sedimentary phase distribution map, fault spatial distribution data, and fold axis trace data; based on the structural element spatial database, constraints are established to obtain the sedimentary phase constraints, the structural constraints, and the trend constraints; based on the sedimentary phase constraints, the structural constraints, and the trend constraints, an irregular triangulation interpolation algorithm is improved to obtain a geologically constrained irregular triangulation interpolation algorithm; interpolation weight coefficients for different directions are set according to sediment source direction data and paleoflow direction data; based on the geologically constrained irregular triangulation interpolation algorithm and the interpolation weight coefficients for different directions, the digital elevation model is interpolated to obtain the corresponding stratigraphic interface data.

8. The three-dimensional geological model construction device according to claim 7, characterized in that: The model generation module is specifically used to obtain the spatial position information of all boreholes in the area; wherein the spatial position information includes: longitude and latitude coordinates, hole mouth elevation data, borehole depth, and lithologic description data of each depth section; construct the lithologic attribute database based on the spatial position information; perform three-dimensional closing processing on the stratum interface data based on the boundary representation method to obtain a stratum entity; and perform lithologic attribute addition processing on the stratum entity based on the lithologic attribute database to obtain the three-dimensional entity model.

9. A three-dimensional geological model construction device, characterized in that: include: memory for storing computer programs; A processor is configured to implement the steps of the three-dimensional geological model construction method according to any one of claims 1 to 4 when executing the computer program.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the three-dimensional geological model construction method according to any one of claims 1 to 4.

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