CN118298117A - Three-dimensional multi-level geological model construction method - Google Patents
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Abstract
The invention discloses a rapid modeling method of a multi-level three-dimensional geological model, which comprises the following steps: acquiring all drilling data in a research area and data information such as elevation, stratum thickness, stratum type and the like of earth surface points by collecting the data; preprocessing modeling data, determining a unified stratum sequence of a research area, and performing binarization processing on the modeling data based on high precision; based on high-precision modeling precision, constructing a refined three-dimensional geological model of the research area by combining an interpolation method; and establishing a multi-level three-dimensional geological model of the research area according to the difference of modeling requirements of different areas. According to the invention, by combining a mobile cube algorithm with geologic body modeling, not only can the rapid three-dimensional modeling of millions of large-scale data be realized, but also dynamic updating modeling can be performed according to different modeling precision requirements of local areas, and the requirement of multi-level modeling of a model is met.
Description
Technical Field
The invention relates to the field of three-dimensional geologic modeling, in particular to a three-dimensional multi-level geologic model construction method capable of being performed in a large range and high efficiency.
Background
The Huni nationality of the red river is located in the southeast part of Yunnan province of China, and the territorial area of the red river is 3.293 ten thousand square kilometers. The geological structure and the landform of the area are complex, and the area is subject to various actions such as crust movement, climate change, artificial movement and the like, so that a great number of special geological phenomena such as inversion, repetition, deletion, faults, lens bodies and the like exist, and the site selection, design, construction and the like of engineering construction of the area can be adversely affected. How to construct a geologic model for better serving the analysis and decision of underground space, surface resource planning and utilization, engineering construction and design, etc. of the region or the like is a primary problem to be solved.
Geological body three-dimensional modeling is often used for constructing a stratum triangle network of a research area based on a traditional Dirony (Delaunay) algorithm, but two disadvantages exist in the three-dimensional modeling of the red river region based on the traditional three-dimensional geological modeling method:
(1) The traditional three-dimensional geologic model established based on the Delaunay algorithm is suitable for geologic bodies of convex hull boundary types and cannot be directly used for geologic body modeling of concave hull boundary types. Whereas geological relief areas like red river regions generally have the problem of complex boundary morphology, belonging to the typical concave packet type. Although the convex hull triangle network of the research area can be generated through the Delaunay algorithm, and then the triangular plates outside the boundary range of the research area are proposed to obtain the concave hull triangle network conforming to the research area, the calculation amount of modeling calculation is indirectly increased.
(2) When a triangle network is constructed based on the Delaunay algorithm, a large amount of iterative operation is needed, and the problem of low modeling efficiency exists when large-scale modeling data is faced. Aiming at the global representation of geological landforms like red river regions and the fine requirements of single engineering, modeling data are quite huge, but the ground surface control points are millions, tens of millions and even hundreds of millions, so that the traditional modeling algorithm is difficult to meet the actual three-dimensional modeling requirements.
Disclosure of Invention
The invention provides a multi-level three-dimensional geologic model rapid modeling method meeting different modeling precision requirements, which is used for solving the technical problems in the background art.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
a three-dimensional multi-level geological model construction method comprises the following steps:
s1, stratum data in a region to be molded is obtained;
S2, determining a unified stratum sequence of the area to be modeled, and performing binarization processing on stratum data;
s3, constructing a refined three-dimensional geological model of the region to be modeled by utilizing an interpolation method based on the unified stratum sequence;
s4, constructing a multi-level three-dimensional geological model of the region to be modeled according to the difference of modeling requirements of different parts of the region to be modeled.
The design thought of the technical scheme is that the method carries out binarization processing on stratum data, converts the stratum data into nodes of the movable cube element, combines a movable cube algorithm with geologic body modeling, fully utilizes the advantages of good robustness and high modeling efficiency of the movable cube algorithm, adapts to three-dimensional modeling of irregular geologic boundaries of concave-convex hull types, and realizes quick three-dimensional modeling of millions of large-scale data; on the other hand, the invention dynamically updates and models according to the different modeling precision demands of the local area on the basis of the existing three-dimensional geologic body model, realizes multi-level modeling of the model, and overcomes the defect that the three-dimensional geologic body model with different precision cannot be obtained by directly utilizing a moving cube algorithm to perform geologic body modeling and cannot meet the demands of multi-level modeling.
As a further preferable mode of the above technical solution, in S1, the formation data is formation information corresponding to all drilling data in the area to be molded, and coordinate information corresponding to each earth surface point; the formation information includes borehole ID, borehole code, borehole coordinates, formation name, formation code, roof burial depth, floor burial depth, formation thickness, formation description, surface point code, and surface point coordinates.
As a further preferable aspect of the above technical solution, the S2 includes:
s21, determining a unified stratum sequence of the area to be modeled from top to bottom according to the new and old stratum ages, the sedimentary facies rule and experience;
S22, determining the minimum precision value meeting the three-dimensional visual model of the area to be modeled according to the requirements of engineering land exploration and modeling data;
S23, carrying out binarization processing on the stratum data based on the principle of a moving cube algorithm, namely converting all stratum data into nodes of moving cube elements.
As a further preferable aspect of the foregoing technical solution, in S23, the specific operation of performing the binarization processing on the formation data is: according to the minimum precision value, constructing a cuboid bounding box containing the stratum data, equally dividing the cuboid bounding box into a plurality of movable cube elements, performing binarization processing on the stratum data, and converting the stratum data into nodes of the movable cube elements, wherein a conversion formula is as follows:
Wherein x min is the minimum value of the x coordinates of all points in the formation data; y min is the minimum of the y coordinates of all points in the formation data; z min is the minimum of the z coordinates of all points in the formation data; min is the minimum precision value.
As a further preferable aspect of the above technical solution, the S3 includes:
s31, calculating modeling data points of each stratum by using an inverse distance interpolation method based on the unified stratum sequence;
s32, sequentially generating coordinates and topological connection relations of the triangular network of each stratum by using a moving cube algorithm;
s33, merging all stratum to obtain a stratum triangle net of the fine three-dimensional geological model of the research area;
And S34, realizing visualization and rendering mapping of the three-dimensional model of the geologic body.
As a further preferable aspect of the foregoing technical solution, in S31, the specific operation of calculating the modeling data points of each stratum is: setting an inverse distance range by taking the stratum data as a top modeling point and utilizing an inverse distance interpolation method, and sequentially determining the stratum thickness of other earth surface points corresponding to the current stratum; subtracting the stratum thickness from the surface elevation of the current surface point to obtain the elevation z of the bottom modeling point corresponding to the current stratum, assigning values to the x and y coordinates of the bottom modeling point by using the x and y coordinates of the current surface point, taking the obtained x, y and z coordinates as the bottom modeling point, repeating the operation, and converting all the bottom modeling points into movable cube element nodes.
As a further preferable aspect of the foregoing technical solution, in S32, the specific operation of generating coordinates of the triangular mesh of each stratum is: and traversing all the nodes of the movable cube element, assigning a value to the isosurface of the vertex of the movable cube element according to the information of the modeling point at the top of the current stratum and the modeling point at the bottom of the current stratum, if the vertex has a corresponding modeling data point, assigning 1, otherwise assigning 0, and calculating and searching the cut edge and the triangular plate coding table of the movable cube element by using a movable cube algorithm based on the unit step length to obtain the space triangular network of the current stratum.
As a further preferred aspect of the above technical solution, in S33, the specific operation of obtaining the stratum triangle mesh of the fine three-dimensional geological model of the region to be modeled is: taking all points in the bottom modeling points of the current stratum as the top modeling points of the next stratum, and sequentially obtaining the triangular plate topological connection relations of the other stratum of the unified stratum sequence; and merging all stratum to obtain a stratum triangle net of the fine three-dimensional geological model of the region to be modeled.
As a further preferable aspect of the above technical solution, the S4 includes:
s41, determining the range of other modeling precision requirements on the basis of a refined three-dimensional geologic body model;
S42, modeling data of other modeling precision requirement ranges described in S41 are remodelled, and the geologic body in the range is dynamically updated;
S43, repeating the steps S41 and S42 according to different modeling requirements, and obtaining a multi-level geological body three-dimensional model of the research area.
Compared with the prior art, the invention has the beneficial effects that:
The three-dimensional multi-level geological model construction method can adapt to three-dimensional modeling of irregular geological boundaries of concave and convex hull types, realize rapid modeling of large-scale data, dynamically update and model according to different modeling precision requirements of local areas, realize multi-level modeling, and simultaneously, in the data preparation of the earlier stage of implementation, the position relation of stratum in the model can be directly generated by inputting required modeling data and unified stratum sequences, so that the method is convenient to use and simple to operate.
Detailed Description
Embodiments of the invention are described in detail below with reference to the attached drawings, but the invention can be implemented in a number of different ways, which are defined and covered by the claims.
FIG. 1 is a schematic illustration of a multi-level three-dimensional geologic modeling flow according to embodiment 1 of the invention;
FIG. 2 is a schematic diagram of a unified formation sequence according to example 1 of the present invention;
FIG. 3 is a schematic diagram of embodiment 1 of the present invention for revising movement steps according to new modeling requirements;
FIG. 4 is a schematic representation of a multi-level three-dimensional geologic model of example 1 of the invention.
Example 1:
As shown in fig. 1, the method for rapidly modeling a multi-level three-dimensional geologic model according to the present embodiment, using the state of red river as a research area, includes the following steps:
S1, data collection: the method for obtaining the stratum data in the region to be molded specifically comprises the following steps:
s11, stratum information corresponding to all geological drilling holes in the research area is collected, information such as drilling names (Pi), position coordinates (x i,yi,zi), stratum type numbers (Ni), stratum thicknesses (Ti), stratum bottom elevation (Hi) and the like is determined, and drilling data P, X, Y and Z are stored in a text document borehole.
Wherein:
P: the name of each borehole, (i= … n), n being the number of boreholes in the investigation region;
x: the abscissa x i, (i= … n) of each borehole data, n being the number of boreholes in the investigation region;
y: the ordinate y i of each borehole data, (i= … n), n being the number of boreholes in the investigation region;
and z: ordinate z i, (i= … n) of each borehole data, n being the number of boreholes in the investigation region.
In step S12, a topographic contour map CAD file of the investigation region is collected, the topographic contour map file is exported as a DXF format by CAD software, coordinate information of the topographic contour is extracted based on the netdxf.2022.11.2 package of the c# programming language, and the extracted surface point number (ID) and coordinate (X, Y and Z) information are saved to the text document surface.
S2, preprocessing modeling data: the method for determining the unified stratum sequence of the area to be modeled comprises the following steps of:
And S21, counting the stratum distribution of all the drilled holes of the research area, and determining a unified stratum sequence S=S { S 0,S1,S2,…,Sm } of the research area from top to bottom according to the new and old stratum ages, the sedimentary facies law, the experience of engineers and the like, as shown in fig. 2.
Wherein:
S i: a stratum (i= … m) arranged at the ith position from top to bottom; m: the total number of formations in the sequence of formations is unified.
S22, creating an array Points for storing the surface Points and the drilling holes, wherein the Points comprise the attribute information such as x, y and z coordinates of the Points, stratum type, stratum thickness, stratum bottom elevation, type, drilling hole name and the like. Reading the borehole txt and surface txt files based on the C# programming language respectively, and storing the surface Points and the drill holes in Points; for the attribute information of the element in the Points does not exist, the default value is 0. Determining the minimum precision value min of a research area according to the modeling requirements of engineers; constructing a cuboid bounding box containing all the Points elements according to the precision value min; equally dividing the cuboid bounding box into a plurality of moving cuboid elements according to min; traversing the Points, performing binarization processing on all elements in the Points, converting the Points into nodes of a moving cube element, and converting the nodes into a conversion formula:
wherein:
x min: the minimum value of the x coordinates of all Points in the array Points;
y min: the minimum value of y coordinates of all Points in the array Points;
z min: the minimum value of the z coordinates of all Points in the array Points.
S3, establishing a high-precision model: the construction of the refined three-dimensional geological model of the region to be modeled based on the unified stratum sequence and the interpolation method specifically comprises the following steps:
S31, starting from a starting stratum of the unified stratum sequence, creating an array point_up_i for storing the modeling Point at the top of the current stratum and an array point_down_i for storing the modeling Point at the bottom of the current stratum. All Points in Points are copied into point_up_i as the top modeling Points for the current formation. Traversing all elements in the plurality of Points, setting an inverse distance range by using an inverse distance interpolation method, and sequentially determining the stratum thickness of other surface Points corresponding to the current stratum; and subtracting the stratum thickness from the surface elevation of the current surface Point to obtain the elevation of the bottom Point corresponding to the current stratum, assigning values to the x and y coordinates of the bottom Point by using the x and y coordinates of the current surface Point, and finally storing the x, y and z coordinates of the bottom Point and the Point type into the point_down_i. Step S22 is repeated to convert all bottom points in point_down_i into mobile cube element nodes.
S32, traversing all the movable cube element nodes, assigning a value to the equivalent surface of the vertex of the MC cube element according to the point_up_i and point_down_i Point information, if the vertex has a corresponding modeling data Point, assigning a value of 1, otherwise assigning a value of 0. Based on the unit step length, a mobile cube algorithm is utilized to calculate and search a cut edge and a triangle patch coding table of a mobile cube element, a space triangle network of the current stratum can be obtained, and the number (ID) of the current stratum, the triangle patch vertex coordinates and the triangle patch connection index are stored in a text file strotum_i.txt.
S33, repeating the steps S31 and S32, taking all points in the point_down_i of the current stratum as top modeling points of the next stratum, and sequentially obtaining the triangular plate topological connection relation of the rest stratum of the unified stratum sequence; and merging all stratum to finally obtain the stratum triangle net of the fine three-dimensional geological model of the research area.
S34, reading the stratum_i.txt file by using C++ and OpenGL, developing a geologic body visualization system, performing visualization processing on each stratum in the model, generating fine three-dimensional geology of the research area, and performing map rendering according to the legend of each stratum.
S4, generating a multi-level model: according to the difference of modeling requirements of different areas, a multi-level three-dimensional geological model of a research area is established, and the method specifically comprises the following steps:
S41, creating an array point_update for storing the irregular area points. On the basis of a refined three-dimensional geologic body model, click points of a mouse on the three-dimensional model are sequentially used, or point coordinates are sequentially manually input, so that an irregular shape surrounded by multiple points is formed, and the irregular shape is used as an area needing modeling precision adjustment; the coordinates x and y of the points are recorded in order and the points are stored in the point_update.
S42, respectively creating two arrays up_i and down_i, copying all points in the point_up_i into up_i, and copying all points in the point_down_i into down_i. Traversing all points in the point_up_i, judging the position relation of an irregular area surrounded by the points and the point_update based on a ray method for judging the positions of the points, marking the corresponding Point types in the points and the point_down_i as 1 if the points are in the range of the irregular area, otherwise, keeping the type value of the points unchanged. Traversing the unified stratum sequence, and reassigning the equivalent surface of the MC voxel vertex according to the point_up_i and the point_down_i Point information, wherein the equivalent surface of the Point with the Point type of 1 is assigned to be 0. And repeating the steps S32 and S34 to obtain the updated fine three-dimensional model.
And if the unified stratum sequence in the irregular area needs to be adjusted, updating the local unified stratum sequence in the irregular area. And determining new modeling accuracy according to the modeling requirements of engineers. As shown in fig. 3, the ratio of the new modeling precision to the high precision is calculated and determined, and the ratio is rounded as the new moving step when modeling by the moving cube algorithm. Traversing the unified stratum sequence, and reassigning the equivalent surface of the MC voxel vertex according to the up_i and down_i point information, wherein the equivalent surface of the point with the point type of 0 is assigned to be 0. And repeating the steps S32 and S34 to obtain the three-dimensional model of the geologic body in the irregular area.
S43, repeating the steps S41 and S42 according to different modeling requirements, and obtaining a multi-level geological body three-dimensional model of the research area, as shown in fig. 4.
The above is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application. The above is only a preferred embodiment of the present application, and the scope of the present application is not limited to the above examples. Modifications and variations which would be obvious to those skilled in the art without departing from the spirit of the application are also considered to be within the scope of the application.
Claims (9)
1. The three-dimensional multi-level geological model construction method is characterized by comprising the following steps of:
s1, stratum data in a region to be molded is obtained;
S2, determining a unified stratum sequence of the area to be modeled, and performing binarization processing on stratum data;
s3, constructing a refined three-dimensional geological model of the region to be modeled by utilizing an interpolation method based on the unified stratum sequence;
s4, constructing a multi-level three-dimensional geological model of the region to be modeled according to the difference of modeling requirements of different parts of the region to be modeled.
2. The three-dimensional multi-level geological model construction method according to claim 1, wherein in S1, the stratum data is stratum information corresponding to all drilling data in the region to be modeled and coordinate information corresponding to each earth surface point; the formation information includes borehole ID, borehole code, borehole coordinates, formation name, formation code, roof burial depth, floor burial depth, formation thickness, formation description, surface point code, and surface point coordinates.
3. The three-dimensional multi-level geologic model construction method according to claim 1, wherein S2 comprises:
s21, determining a unified stratum sequence of the area to be modeled from top to bottom according to the new and old stratum ages, the sedimentary facies rule and experience;
S22, determining the minimum precision value meeting the three-dimensional visual model of the area to be modeled according to the requirements of engineering land exploration and modeling data;
S23, carrying out binarization processing on the stratum data based on the principle of a moving cube algorithm, namely converting all stratum data into nodes of moving cube elements.
4. A three-dimensional multi-level geological model construction method according to claim 3, wherein in S23, the specific operation of binarizing the formation data is: according to the minimum precision value, constructing a cuboid bounding box containing the stratum data, equally dividing the cuboid bounding box into a plurality of movable cube elements, performing binarization processing on the stratum data, and converting the stratum data into nodes of the movable cube elements, wherein a conversion formula is as follows:
Wherein x min is the minimum value of the x coordinates of all points in the formation data; y min is the minimum of the y coordinates of all points in the formation data; z min is the minimum of the z coordinates of all points in the formation data; min is the minimum precision value.
5. The three-dimensional multi-level geologic model construction method according to claim 1, wherein S3 comprises:
s31, calculating modeling data points of each stratum by using an inverse distance interpolation method based on the unified stratum sequence;
s32, sequentially generating coordinates and topological connection relations of the triangular network of each stratum by using a moving cube algorithm;
s33, merging all stratum to obtain a stratum triangle net of the fine three-dimensional geological model of the region to be modeled;
And S34, realizing visualization and rendering mapping of the three-dimensional model of the geologic body.
6. The method of claim 5, wherein in S31, the specific operation of calculating the modeling data points of each stratum is: setting an inverse distance range by taking the stratum data as a top modeling point and utilizing an inverse distance interpolation method, and sequentially determining the stratum thickness of other earth surface points corresponding to the current stratum; subtracting the stratum thickness from the surface elevation of the current surface point to obtain the elevation z of the bottom modeling point corresponding to the current stratum, assigning values to the x and y coordinates of the bottom modeling point by using the x and y coordinates of the current surface point, taking the obtained x, y and z coordinates as the bottom modeling point, repeating the operation, and converting all the bottom modeling points into movable cube element nodes.
7. The method of three-dimensional multi-level geologic model according to claim 6, wherein in S32, the specific operation of generating coordinates of the triangular mesh of each stratum is: and traversing all the nodes of the movable cube element, assigning a value to the isosurface of the vertex of the movable cube element according to the information of the modeling point at the top of the current stratum and the modeling point at the bottom of the current stratum, if the vertex has a corresponding modeling data point, assigning 1, otherwise assigning 0, and calculating and searching the cut edge and the triangular plate coding table of the movable cube element by using a movable cube algorithm based on the unit step length to obtain the space triangular network of the current stratum.
8. The method for constructing a three-dimensional multi-level geologic model according to claim 7, wherein in S33, the specific operation of obtaining the stratum triangulation network of the fine three-dimensional geologic model of the region to be modeled is: taking all points in the bottom modeling points of the current stratum as the top modeling points of the next stratum, and sequentially obtaining the triangular plate topological connection relations of the other stratum of the unified stratum sequence; and merging all stratum to obtain a stratum triangle net of the fine three-dimensional geological model of the region to be modeled.
9. The three-dimensional multi-level geologic model construction method according to claim 1, wherein S4 comprises:
s41, determining the range of other modeling precision requirements on the basis of a refined three-dimensional geologic body model;
S42, modeling data of other modeling precision requirement ranges described in S41 are remodelled, and the geologic body in the range is dynamically updated;
S43, repeating the steps S41 and S42 according to different modeling requirements, and obtaining a multi-level geological body three-dimensional model of the research area.
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