Method and system for constructing transparent mine three-dimensional geological model

Abstract

The application discloses a three-dimensional geological model construction method of a transparent mine, which comprises the following steps: obtaining remote sensing data, geological survey data, geological exploration data, regional structure data and measured data and preprocessing the data; calibrating uncalibrated remote sensing data and the geological survey data according to control point data in the geological survey data, sticking the calibrated geological survey data and the remote sensing data to construct a ground surface model; and optimizing the constructed ground surface model to sequentially obtain an initial geological framework model, a seismic optimized attribute model, a refined model and a three-dimensional geological model; and a three-dimensional geological model construction system of the transparent mine, which comprises a data acquisition module, and the data acquisition module is sequentially connected with a data processing module, a model construction module and an application analysis module. The three-dimensional geological model construction method of the transparent mine solves the problems of low modeling precision caused by single modeling data source and mismatch between modeling results and actual production requirements in the prior art.

Description

Technical Field

[0001] This invention belongs to the technical field of geological modeling methods, specifically relating to a method for constructing a three-dimensional geological model of a transparent mine, and also relating to a system for constructing a three-dimensional geological model of a transparent mine. Background Technology

[0002] After decades of development, the coal mining industry has made leaps in mechanized and automated mining technologies, but bottlenecks still exist in many key technologies, hindering the development of mining technology. The construction of a detailed 3D geological model of a transparent mine is crucial for successful mining. Currently, 3D modeling of coal mines mainly relies on borehole interpolation modeling, which suffers from limited data sources, low accuracy, and untimely model updates. Summary of the Invention

[0003] The purpose of this invention is to provide a method for constructing a three-dimensional geological model of a transparent mine, which solves the problems in the prior art where the modeling data source is singular, resulting in low modeling accuracy and a mismatch between the modeling results and actual production needs.

[0004] Another objective of this invention is to provide a three-dimensional geological model construction system for transparent mines, which solves the problems of limited modeling data and low model accuracy in existing technologies.

[0005] The technical solution adopted in this invention is a method for constructing a three-dimensional geological model of a transparent mine, comprising the following steps: S1. Acquire remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data, and preprocess them; S2. Based on the control point data in the geological survey data, calibrate the uncalibrated remote sensing data and geological survey data, and then combine the calibrated geological survey data with the remote sensing data to construct a surface model. S3. Construct three-dimensional connections and combinations of geological exploration data according to geological principles, and combine them with surface modeling to obtain an initial geological framework model; S4. Based on geological exploration data, the initial geological framework model is optimized and its attributes are assigned to obtain the seismic optimized attribute model. S5. Based on geological and sedimentological theories, the stratigraphic structure and attribute parameters of the seismic optimized attribute model are verified, analyzed and optimized to obtain a refined model. S6. Input the measured data into the refined model for iteration to obtain a three-dimensional geological model.

[0006] The invention is further characterized by: Preprocessing in S1 includes data transformation, filtering, cleaning, extraction, and fusion.

[0007] The calibration process in S2 is as follows: using the borehole elevation and measurement control points in the geological survey data as control points, the remote sensing data and geological survey data are calibrated by projection transformation, spatial correction and registration; the surface model is obtained by fitting the calibrated remote sensing data and geological survey data together.

[0008] The process of determining the three-dimensional connection and combination relationships in S3 is as follows: First, the stratigraphic structure and geological features of the coal and rock strata in the coal mine are delineated using borehole columnar sections, geological profiles, coal and rock strata contour maps, and realistic geological profiles from geological exploration data, to determine the stratigraphic framework of the coal mine and the overburden relationship between the strata; second, a three-dimensional columnar section is established at each borehole location to form the planar coordinates and top and bottom elevation data of each stratum and geological body; then, the columnar sections of two adjacent boreholes are connected to jointly construct a joint well profile, and the three-dimensional connection and combination relationships of the underground geological bodies are obtained based on the joint well profile; In S3, optimization is performed using ordinary Kriging interpolation, generalized Kriging interpolation, co-Kriging interpolation, multivariate Kriging interpolation, Bayesian Kriging interpolation, global polynomial, or inverse distance weighted interpolation methods.

[0009] The optimization process in S4 is as follows: Geological borehole, well logging, gravity, magnetic, electric, and geophysical exploration results, and 3D seismic exploration results from geological exploration data are calibrated; the calibrated seismic records and geophysical results are used to interpret the stratigraphic framework; the initial geological framework model is corrected and divided according to the stratigraphic framework interpretation results; attributes are divided using seismic and gravity / magnetic geophysical results; the porosity, water content, permeability, mechanical strength, and spatial characteristics of geological bodies are interpreted; the three-dimensional boundaries of attributes are divided based on the interpretation of porosity, water content, permeability, mechanical strength, and spatial characteristics of geological bodies; and the attribute data are assigned to the geological framework model to obtain the optimized seismic attribute model.

[0010] In S5, geological analysis specifically involves combining regional tectonic data with sedimentary facies to perform numerical simulations or geological extrapolations to analyze faults, folds, and sedimentary structures in the regional tectonic data. In S5, optimization utilizes sedimentary geology and structural geology theories to verify and correct the three-dimensional boundaries of geological bodies and attributes in the seismic optimization attribute model.

[0011] The measured data in S6 are coal mining data, specifically including remote sensing data, geological survey data, geological exploration data, and regional tectonic data generated during the construction and production stages after the coal mine exploration stage.

[0012] Another technical solution adopted in this invention is a three-dimensional geological model construction system for transparent mines, which is used in the method of constructing a three-dimensional geological model for transparent mines. The system includes a data acquisition module, which is sequentially connected to a data processing module, a model construction module, and an application analysis module.

[0013] Another feature of the technical solution of the present invention is that: The data acquisition module is used to collect remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data; the data processing module is used to convert, filter, clean, extract, and fuse the data in the data acquisition module; the model building module is used to build a three-dimensional geological model based on the data in the data processing module; the application analysis module is used to prepare two-dimensional and three-dimensional maps of coal mines and visualize monitoring and early warning based on chart templates; the model building module is equipped with a three-dimensional modeling iterator, a register, a three-dimensional spatial register, and a memory. The three-dimensional modeling iterator is connected to the register, the three-dimensional spatial register, and the memory in sequence, and the memory is connected to the three-dimensional modeling iterator and the register in turn.

[0014] The construction of three-dimensional geological models, two-dimensional and three-dimensional mapping, and monitoring and early warning visualization are achieved by connecting to external electronic devices, such as computers, laptops, mobile phones, tablets, handheld terminals, or other communication devices.

[0015] The beneficial effects of this invention are: Geological survey data is used to calibrate remote sensing data. The high precision of geological survey data is used to correct topographic offsets in remote sensing data and random errors in geological survey data, ensuring that the basic data of the surface model closely matches the actual geological scene. This reduces the source error of subsequent model optimization. Based on geological sedimentation and tectonic theory, the three-dimensional connection and combination relationship of geological bodies is established to optimize the initial geological framework model, avoiding the isolated distribution of geological bodies and incorrect boundary connection in traditional models. The stratigraphic framework model is optimized according to the occurrence and distribution laws of strata, solving the accuracy defects caused by low borehole density and large spacing in traditional borehole modeling. Through geological analysis, microscopic geological features are added to the optimized geological framework model, upgrading the model from a macroscopic structural description to an integrated macroscopic and microscopic expression, which can support precise mining and disaster prevention.

[0016] By combining supplementary geological exploration data from coal mine production with measured data from deep strata, structures, and geological bodies, the geological model is iterated. Measured data is input into a refined model, and a closed-loop logic for adjusting model parameters is established through comparison of measured values ​​with model predictions. This corrects discrepancies between the model and actual geology, avoiding the problems of inconsistencies caused by traditional one-time modeling. The model can be dynamically updated as mining progresses, maintaining consistency with actual geology. Standardized modeling processes and automated mapping reduce manual steps, improving the efficiency of mining plan design and geological report preparation. Visualized monitoring and early warning systems transform abstract monitoring data into intuitive markers on the 3D model, facilitating rapid location of risk areas by mine managers. Attached Figure Description

[0017] Figure 1This is a flowchart of the method for constructing a three-dimensional geological model of a transparent mine according to the present invention; Figure 2 This is a detailed flowchart of the method for constructing a three-dimensional geological model of a transparent mine according to the present invention; Figure 3 This is a schematic diagram of the structure of the transparent mine three-dimensional geological model construction system of the present invention; Figure 4 Yes, this is a schematic diagram of the model building module in the transparent mine three-dimensional geological model building system of the present invention. Detailed Implementation

[0018] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments.

[0019] Methods for constructing three-dimensional geological models of transparent mines, such as Figure 1 As shown, it includes the following steps: S1. Acquire remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data, and preprocess them; S2. Based on the control point data in the geological survey data, calibrate the uncalibrated remote sensing data and geological survey data, and then combine the calibrated geological survey data with the remote sensing data to construct a surface model. S3. Construct three-dimensional connections and combinations of geological exploration data according to geological principles, and combine them with surface modeling to obtain an initial geological framework model; S4. Based on geological exploration data, the initial geological framework model is optimized and its attributes are assigned to obtain the seismic optimized attribute model. S5. Based on geological and sedimentological theories, the stratigraphic structure and attribute parameters of the seismic optimized attribute model are verified, analyzed and optimized to obtain a refined model. S6. Input the measured data into the refined model for iteration to obtain a three-dimensional geological model.

[0020] Preprocessing in S1 includes data transformation, filtering, cleaning, extraction, and fusion.

[0021] The calibration process in S2 is as follows: using the borehole elevation and measurement control points in the geological survey data as control points, the remote sensing data and geological survey data are calibrated by projection transformation, spatial correction and registration; the surface model is obtained by fitting the calibrated remote sensing data and geological survey data together.

[0022] The process of determining the three-dimensional connection and combination relationships in S3 is as follows: First, the stratigraphic structure and geological features of the coal and rock strata in the coal mine are delineated using borehole columnar sections, geological profiles, coal and rock strata contour maps, and realistic geological profiles from geological exploration data, to determine the stratigraphic framework of the coal mine and the overburden relationship between the strata; second, a three-dimensional columnar section is established at each borehole location to form the planar coordinates and top and bottom elevation data of each stratum and geological body; then, the columnar sections of two adjacent boreholes are connected to jointly construct a joint well profile, and the three-dimensional connection and combination relationships of the underground geological bodies are obtained based on the joint well profile; In S3, optimization is performed using ordinary Kriging interpolation, generalized Kriging interpolation, co-Kriging interpolation, multivariate Kriging interpolation, Bayesian Kriging interpolation, global polynomial, or inverse distance weighted interpolation methods.

[0023] The optimization process in S4 is as follows: Geological borehole, well logging, gravity, magnetic, electric, and geophysical exploration results, and 3D seismic exploration results from geological exploration data are calibrated; the calibrated seismic records and geophysical results are used to interpret the stratigraphic framework; the initial geological framework model is corrected and divided according to the stratigraphic framework interpretation results; attributes are divided using seismic and gravity / magnetic geophysical results; the porosity, water content, permeability, mechanical strength, and spatial characteristics of geological bodies are interpreted; the three-dimensional boundaries of attributes are divided based on the interpretation of porosity, water content, permeability, mechanical strength, and spatial characteristics of geological bodies; and the attribute data are assigned to the geological framework model to obtain the optimized seismic attribute model.

[0024] In S5, geological analysis specifically involves combining regional tectonic data with sedimentary facies to perform numerical simulations or geological extrapolations to analyze faults, folds, and sedimentary structures in the regional tectonic data. In S5, optimization utilizes sedimentary geology and structural geology theories to verify and correct the three-dimensional boundaries of geological bodies and attributes in the seismic optimization attribute model.

[0025] The measured data in S6 are coal mine mining data, specifically including remote sensing data, geological survey data, geological exploration data, and regional tectonic data generated during the construction and production stages following the coal mine exploration phase. Figure 2 As shown.

[0026] A three-dimensional geological model construction system for transparent mines, used in the method of constructing three-dimensional geological models for transparent mines, includes a data acquisition module, which is sequentially connected to a data processing module, a model construction module, and an application analysis module.

[0027] The data acquisition module is used to collect remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data; the data processing module is used to transform, filter, clean, extract, and fuse the data from the data acquisition module; the model building module is used to build three-dimensional geological models based on the data from the data processing module, such as... Figure 4 As shown; the application analysis module is used to prepare two-dimensional and three-dimensional maps of coal mines and visualize monitoring and early warning based on the chart template; the model building module is equipped with a three-dimensional modeling iterator, a register, a three-dimensional space register and a memory. The three-dimensional modeling iterator is connected to the register, the three-dimensional space register and the memory in sequence, and the memory is connected to the three-dimensional modeling iterator and the register respectively.

[0028] The construction of three-dimensional geological models, two-dimensional and three-dimensional mapping, and monitoring and early warning visualization are achieved by connecting to external electronic devices, such as... Figure 3 As shown, the electronic device is a computer, laptop, mobile phone, tablet computer, handheld terminal or other communication device.

[0029] The geological exploration data includes borehole columnar sections, exploration line profiles, coal and rock strata contour maps, geophysical data, geological realistic profiles, downhole boreholes, well logging results, geophysical results, and 3D seismic exploration data; the geophysical results include seismic and gravity / electromagnetic exploration results.

[0030] Geological bodies include structural bodies, fault bodies, fracture zones, scour zones, lenses, collapse columns, underground spaces, continuous strata, fold faults, and goaf areas.

[0031] Based on the geological data formed by 3D seismic, gravity, magnetic and electrical geophysical exploration, the geological framework is interpreted, the initial geological framework model is optimized, and the interpolated data is recalculated and verified to obtain a 3D geological model.

[0032] By integrating multi-source heterogeneous data from coal mine geological exploration and construction processes to create models, reliable technical support is provided for coal mine automation and green mining, and geological assurance is provided for safe coal mine production. It has extremely high engineering application value.

[0033] In the application analysis module, data generated by combining FLAC3D or Modflow numerical simulation software with manual analysis and prediction results is used to process, display, analyze, and edit the 3D geological model. The dynamic changes are shown through local or global updates or changes in the 3D geological model. Then, through professional chart templates, a full-process digital application system is constructed: at the cartography and map generation level, based on a standardized chart template library, 2D drawings and 3D visualization maps are automatically generated, supporting real-time modification of map parameters and batch export of formats, ensuring map accuracy and drawing efficiency; relying on the geological data adaptation algorithm built into the templates, geological modeling and mining engineering modeling are realized, while simultaneously associating porosity, permeability, water content, water content, stress, and other factors. The attribute information of the geological structure completes attribute modeling, forming a digital asset that integrates geometric model and attribute data. At the collaboration and control level, the template-based rapid generation of drawings and multi-person collaborative editing functions support real-time sharing of models and drawings among multiple departments, enabling simultaneous collaborative design. The risk control module automatically identifies water hazards such as dripping, sprinkling, seeping, gushing, and sudden water based on model data, constructs risk areas such as loose areas, stress concentration areas, and roof and floor collapses, and generates risk reports based on analysis algorithms. At the monitoring and early warning level, real-time monitoring data is linked to the 3D model through chart templates, presenting monitoring results in a visual form such as color marking and dynamic curves. When thresholds are exceeded, early warnings are automatically triggered, helping managers to intuitively grasp the mine's operating status and promptly address safety hazards.

[0034] Example 1 The method for constructing a three-dimensional geological model of a transparent mine includes the following steps: S1. Acquire remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data, and preprocess them; S2. Based on the control point data in the geological survey data, calibrate the uncalibrated remote sensing data and geological survey data, and then combine the calibrated geological survey data with the remote sensing data to construct a surface model. S3. Construct three-dimensional connections and combinations of geological exploration data according to geological principles, and combine them with surface modeling to obtain an initial geological framework model; S4. Based on geological exploration data, the initial geological framework model is optimized and its attributes are assigned to obtain the seismic optimized attribute model. S5. Based on geological and sedimentological theories, the stratigraphic structure and attribute parameters of the seismic optimized attribute model are verified, analyzed and optimized to obtain a refined model. S6. Input the measured data into the refined model for iteration to obtain a three-dimensional geological model.

[0035] Example 2 The method for constructing a three-dimensional geological model of a transparent mine includes the following steps: S1. Acquire remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data, and preprocess them; S2. Based on the control point data in the geological survey data, calibrate the uncalibrated remote sensing data and geological survey data, and then combine the calibrated geological survey data with the remote sensing data to construct a surface model. S3. Construct three-dimensional connections and combinations of geological exploration data according to geological principles, and combine them with surface modeling to obtain an initial geological framework model; S4. Based on geological exploration data, the initial geological framework model is optimized and its attributes are assigned to obtain the seismic optimized attribute model. S5. Based on geological and sedimentological theories, the stratigraphic structure and attribute parameters of the seismic optimized attribute model are verified, analyzed and optimized to obtain a refined model. S6. Input the measured data into the refined model for iteration to obtain a three-dimensional geological model.

[0036] Preprocessing in S1 includes data transformation, filtering, cleaning, extraction, and fusion.

[0037] The calibration process in S2 is as follows: using the borehole elevation and surface measurement control points in the geological survey data as control points, the remote sensing data and geological survey data are calibrated by projection transformation, spatial correction and registration; the surface model is obtained by fitting the calibrated remote sensing data, geological survey data and control points together.

[0038] Example 3 The method for constructing a three-dimensional geological model of a transparent mine includes the following steps: S1. Acquire remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data, and preprocess them; S2. Based on the control point data in the geological survey data, calibrate the uncalibrated remote sensing data and geological survey data, and then combine the calibrated geological survey data with the remote sensing data to construct a surface model. S3. Construct three-dimensional connections and combinations of geological exploration data according to geological principles, and combine them with surface modeling to obtain an initial geological framework model; S4. Based on geological exploration data, the initial geological framework model is optimized and its attributes are assigned to obtain the seismic optimized attribute model. S5. Based on geological and sedimentological theories, the stratigraphic structure and attribute parameters of the seismic optimized attribute model are verified, analyzed and optimized to obtain a refined model. S6. Input the measured data into the refined model for iteration to obtain a three-dimensional geological model.

[0039] Preprocessing in S1 includes data transformation, filtering, cleaning, extraction, and fusion.

[0040] The calibration process in S2 is as follows: using the borehole elevation and measurement control points in the geological survey data as control points, the remote sensing data and geological survey data are calibrated by projection transformation, spatial correction and registration; the surface model is obtained by fitting the calibrated remote sensing data and geological survey data together.

[0041] The process of determining the three-dimensional connection and combination relationships in S3 is as follows: First, the stratigraphic structure and geological features of the coal and rock strata in the coal mine are delineated using borehole columnar sections, geological profiles, coal and rock strata contour maps, and realistic geological profiles from geological exploration data, to determine the stratigraphic framework of the coal mine and the overburden relationship between the strata; second, a three-dimensional columnar section is established at each borehole location to form the planar coordinates and top and bottom elevation data of each stratum and geological body; then, the columnar sections of two adjacent boreholes are connected to jointly construct a joint well profile, and the three-dimensional connection and combination relationships of the underground geological bodies are obtained based on the joint well profile; In S3, the optimization method used is ordinary Kriging interpolation.

[0042] Example 4 The method for constructing a three-dimensional geological model of a transparent mine includes the following steps: S1. Acquire remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data, and preprocess them; S2. Based on the control point data in the geological survey data, calibrate the uncalibrated remote sensing data and geological survey data, and then combine the calibrated geological survey data with the remote sensing data to construct a surface model. S3. Construct three-dimensional connections and combinations of geological exploration data according to geological principles, and combine them with surface modeling to obtain an initial geological framework model; S4. Based on geological exploration data, the initial geological framework model is optimized and its attributes are assigned to obtain the seismic optimized attribute model. S5. Based on geological and sedimentological theories, the stratigraphic structure and attribute parameters of the seismic optimized attribute model are verified, analyzed and optimized to obtain a refined model. S6. Input the measured data into the refined model for iteration to obtain a three-dimensional geological model.

[0043] Preprocessing in S1 includes data transformation, filtering, cleaning, extraction, and fusion.

[0044] The calibration process in S2 is as follows: using the borehole elevation and measurement control points in the geological survey data as control points, the remote sensing data and geological survey data are calibrated by projection transformation, spatial correction and registration; the surface model is obtained by fitting the calibrated remote sensing data and geological survey data together.

[0045] The process of determining the three-dimensional connection and combination relationships in S3 is as follows: First, the stratigraphic structure and geological features of the coal and rock strata in the coal mine are delineated using borehole columnar sections, geological profiles, coal and rock strata contour maps, and realistic geological profiles from geological exploration data, to determine the stratigraphic framework of the coal mine and the overburden relationship between the strata; second, a three-dimensional columnar section is established at each borehole location to form the planar coordinates and top and bottom elevation data of each stratum and geological body; then, the columnar sections of two adjacent boreholes are connected to jointly construct a joint well profile, and the three-dimensional connection and combination relationships of the underground geological bodies are obtained based on the joint well profile; In S3, the inverse distance weighted interpolation method is used for interpolation optimization.

[0046] The optimization process in S4 is as follows: Geological borehole, well logging, electrical geophysical, and 3D seismic exploration data are calibrated; the calibrated seismic records and geophysical results are used to interpret the stratigraphic framework; the initial geological framework model is corrected and divided according to the stratigraphic framework interpretation; attributes are divided using seismic and gravity / electromagnetic geophysical results; the porosity, water content, and spatial characteristics of geological bodies are interpreted; the three-dimensional boundaries of attributes are divided based on the interpretation of the porosity, water content, and spatial characteristics of geological bodies; and the attribute data are assigned to the geological framework model to obtain the optimized seismic attribute model.

[0047] Example 5 The method for constructing a three-dimensional geological model of a transparent mine includes the following steps: S1. Acquire remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data, and preprocess them; S2. Based on the control point data in the geological survey data, calibrate the uncalibrated remote sensing data and geological survey data, and then combine the calibrated geological survey data with the remote sensing data to construct a surface model. S3. Construct three-dimensional connections and combinations of geological exploration data according to geological principles, and combine them with surface modeling to obtain an initial geological framework model; S4. Based on geological exploration data, the initial geological framework model is optimized and its attributes are assigned to obtain the seismic optimized attribute model. S5. Based on geological and sedimentological theories, the stratigraphic structure and attribute parameters of the seismic optimized attribute model are verified, analyzed and optimized to obtain a refined model. S6. Input the measured data into the refined model for iteration to obtain a three-dimensional geological model.

[0048] Preprocessing in S1 includes data transformation, filtering, cleaning, extraction, and fusion.

[0049] The calibration process in S2 is as follows: using the borehole elevation and measurement control points in the geological survey data as control points, the remote sensing data and geological survey data are calibrated by projection transformation, spatial correction and registration; the surface model is obtained by fitting the calibrated remote sensing data and geological survey data together.

[0050] The process of determining the three-dimensional connection and combination relationships in S3 is as follows: First, the stratigraphic structure and geological features of the coal and rock strata in the coal mine are delineated using borehole columnar sections, geological profiles, coal and rock strata contour maps, and realistic geological profiles from geological exploration data, to determine the stratigraphic framework of the coal mine and the overburden relationship between the strata; second, a three-dimensional columnar section is established at each borehole location to form the planar coordinates and top and bottom elevation data of each stratum and geological body; then, the columnar sections of two adjacent boreholes are connected to jointly construct a joint well profile, and the three-dimensional connection and combination relationships of the underground geological bodies are obtained based on the joint well profile; In S3, the optimization method used is the universal Kriging interpolation method.

[0051] The optimization process in S4 is as follows: Geological borehole, well logging, magnetic and electrical geophysical data, and 3D seismic exploration data are calibrated; the calibrated seismic records and geophysical results are used to interpret the stratigraphic framework; the initial geological framework model is corrected and divided according to the stratigraphic framework interpretation; attributes are divided using seismic and gravity / electromagnetic geophysical results; the porosity, water content, permeability, mechanical strength, and spatial characteristics of geological bodies are interpreted; the three-dimensional boundaries of attributes are divided based on the interpretation of porosity, water content, permeability, mechanical strength, and spatial characteristics of geological bodies; and the attribute data are assigned to the geological framework model to obtain the optimized seismic attribute model.

[0052] In S5, the geological analysis specifically involves: combining regional tectonic data with sedimentary facies to perform numerical simulations to analyze faults, folds, and sedimentary structures in the regional tectonic data; and in S5, the optimization involves using sedimentary geology and tectonic geology theories to verify and correct the three-dimensional boundaries of geological bodies in the seismic optimization attribute model.

[0053] Example 6 The method for constructing a three-dimensional geological model of a transparent mine includes the following steps: S1. Acquire remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data, and preprocess them; S2. Based on the control point data in the geological survey data, calibrate the uncalibrated remote sensing data and geological survey data, and then combine the calibrated geological survey data with the remote sensing data to construct a surface model. S3. Construct three-dimensional connections and combinations of geological exploration data according to geological principles, and combine them with surface modeling to obtain an initial geological framework model; S4. Based on geological exploration data, the initial geological framework model is optimized and its attributes are assigned to obtain the seismic optimized attribute model. S5. Based on geological and sedimentological theories, the stratigraphic structure and attribute parameters of the seismic optimized attribute model are verified, analyzed and optimized to obtain a refined model. S6. Input the measured data into the refined model for iteration to obtain a three-dimensional geological model.

[0054] Preprocessing in S1 includes data transformation, filtering, cleaning, extraction, and fusion.

[0055] The calibration process in S2 is as follows: using the borehole elevation and surface measurement control points in the geological survey data as control points, the remote sensing data and geological survey data are calibrated by projection transformation, spatial correction and registration; the surface model is obtained by fitting the calibrated remote sensing data, geological survey data and control points together.

[0056] The process of determining the three-dimensional connection and combination relationships in S3 is as follows: First, the stratigraphic structure and geological features of the coal and rock strata in the coal mine are delineated using borehole columnar sections, geological profiles, coal and rock strata contour maps, and realistic geological profiles from geological exploration data, to determine the stratigraphic framework of the coal mine and the overburden relationship between the strata; second, a three-dimensional columnar section is established at each borehole location to form the planar coordinates and top and bottom elevation data of each stratum and geological body; then, the columnar sections of two adjacent boreholes are connected to jointly construct a joint well profile, and the three-dimensional connection and combination relationships of the underground geological bodies are obtained based on the joint well profile; In S3, the optimization method used is co-kriging interpolation.

[0057] The optimization process in S4 is as follows: Geological borehole, well logging, gravity, magnetic, electric, and electromagnetic (GME) geophysical data, and 3D seismic exploration data are calibrated. The calibrated seismic records and geophysical results are used to interpret the stratigraphic framework. The initial geological framework model is corrected and divided according to the stratigraphic framework interpretation, and attributes are divided using seismic and GME geophysical results. The porosity, water content, permeability, mechanical strength, and spatial characteristics of geological bodies are interpreted. Based on the interpretation of porosity, water content, permeability, mechanical strength, and spatial characteristics of geological bodies, the three-dimensional boundaries of the attributes are defined. The attribute data is assigned to the geological framework model to obtain the optimized seismic attribute model.

[0058] In S5, the geological analysis specifically involves combining regional tectonic data with sedimentary facies to perform geological extrapolation and analyze faults, folds, and sedimentary structures in the regional tectonic data. In S5, the optimization involves using sedimentary geology and tectonic geology theories to verify and correct the three-dimensional boundaries of geological bodies in the seismic optimization attribute model.

[0059] The measured data in S6 are coal mining data, specifically including remote sensing data, geological survey data, geological exploration data, and regional tectonic data generated during the construction and production stages after the coal mine exploration stage.

[0060] Example 7 The method for constructing a three-dimensional geological model of a transparent mine includes the following steps: S1. Acquire remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data, and preprocess them; S2. Based on the control point data in the geological survey data, calibrate the uncalibrated remote sensing data and geological survey data, and then combine the calibrated geological survey data with the remote sensing data to construct a surface model. S3. Construct three-dimensional connections and combinations of geological exploration data according to geological principles, and combine them with surface modeling to obtain an initial geological framework model; S4. Based on geological exploration data, the initial geological framework model is optimized and its attributes are assigned to obtain the seismic optimized attribute model. S5. Based on geological and sedimentological theories, the stratigraphic structure and attribute parameters of the seismic optimized attribute model are verified, analyzed and optimized to obtain a refined model. S6. Input the measured data into the refined model for iteration to obtain a three-dimensional geological model.

[0061] Preprocessing in S1 includes data transformation, filtering, cleaning, extraction, and fusion.

[0062] The calibration process in S2 is as follows: using the borehole elevation and surface measurement control points in the geological survey data as control points, the remote sensing data and geological survey data are calibrated by projection transformation, spatial correction and registration; the surface model is obtained by fitting the calibrated remote sensing data and geological survey data together.

[0063] The process of determining the three-dimensional connection and combination relationships in S3 is as follows: First, the stratigraphic structure and geological features of the coal and rock strata in the coal mine are delineated using borehole columnar sections, geological profiles, coal and rock strata contour maps, and realistic geological profiles from geological exploration data, to determine the stratigraphic framework of the coal mine and the overburden relationship between the strata; second, a three-dimensional columnar section is established at each borehole location to form the planar coordinates and top and bottom elevation data of each stratum and geological body; then, the columnar sections of two adjacent boreholes are connected to jointly construct a joint well profile, and the three-dimensional connection and combination relationships of the underground geological bodies are obtained based on the joint well profile; In S3, the optimization method used is Bayesian Skrigin interpolation.

[0064] The optimization process in S4 is as follows: Geological borehole, well logging, gravity, magnetic, electric, and electromagnetic (GME) geophysical data, and 3D seismic exploration data are calibrated. The calibrated seismic records and geophysical results are used to interpret the stratigraphic framework. The initial geological framework model is corrected and divided according to the stratigraphic framework interpretation, and attributes are divided using seismic and GME geophysical results. The porosity, water content, permeability, mechanical strength, and spatial characteristics of geological bodies are interpreted. Based on the interpretation of porosity, water content, permeability, mechanical strength, and spatial characteristics of geological bodies, the three-dimensional boundaries of the attributes are defined. The attribute data is assigned to the geological framework model to obtain the optimized seismic attribute model.

[0065] In S5, the geological analysis specifically involves: combining regional tectonic data with sedimentary facies to conduct numerical simulations and geological extrapolations to analyze faults, folds, and sedimentary structures in the regional tectonic data; and in S5, the optimization involves using sedimentary geology and tectonic geology theories to verify and correct the three-dimensional boundaries of geological bodies in the seismic optimization attribute model.

[0066] The measured data in S6 are coal mining data, specifically including remote sensing data, geological survey data, geological exploration data, and regional tectonic data generated during the construction and production stages after the coal mine exploration stage.

[0067] A three-dimensional geological model construction system for transparent mines, used in the method of constructing three-dimensional geological models for transparent mines, includes a data acquisition module, which is sequentially connected to a data processing module, a model construction module, and an application analysis module.

[0068] Example 8 The method for constructing a three-dimensional geological model of a transparent mine includes the following steps: S1. Acquire remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data, and preprocess them; S2. Based on the control point data in the geological survey data, calibrate the uncalibrated remote sensing data and geological survey data, and then combine the calibrated geological survey data with the remote sensing data to construct a surface model. S3. Construct three-dimensional connections and combinations of geological exploration data according to geological principles, and combine them with surface modeling to obtain an initial geological framework model; S4. Based on geological exploration data, the initial geological framework model is optimized and its attributes are assigned to obtain the seismic optimized attribute model. S5. Based on geological and sedimentological theories, the stratigraphic structure and attribute parameters of the seismic optimized attribute model are verified, analyzed and optimized to obtain a refined model. S6. Input the measured data into the refined model for iteration to obtain a three-dimensional geological model.

[0069] Preprocessing in S1 includes data transformation, filtering, cleaning, extraction, and fusion.

[0070] The calibration process in S2 is as follows: using the borehole elevation and surface measurement control points in the geological survey data as control points, the remote sensing data and geological survey data are calibrated by projection transformation, spatial correction and registration; the surface model is obtained by fitting the calibrated remote sensing data, geological survey data and control points together.

[0071] The process of determining the three-dimensional connection and combination relationships in S3 is as follows: First, the stratigraphic structure and geological features of the coal and rock strata in the coal mine are delineated using borehole columnar sections, geological profiles, coal and rock strata contour maps, and realistic geological profiles from geological exploration data, to determine the stratigraphic framework of the coal mine and the overburden relationship between the strata; second, a three-dimensional columnar section is established at each borehole location to form the planar coordinates and top and bottom elevation data of each stratum and geological body; then, the columnar sections of two adjacent boreholes are connected to jointly construct a joint well profile, and the three-dimensional connection and combination relationships of the underground geological bodies are obtained based on the joint well profile; In S3, the optimization method uses a global polynomial interpolation method.

[0072] The optimization process in S4 is as follows: Geological borehole, well logging, gravity, magnetic, electric, and electromagnetic (GME) geophysical data, and 3D seismic exploration data are calibrated. The calibrated seismic records and geophysical results are used to interpret the stratigraphic framework. The initial geological framework model is corrected and divided according to the stratigraphic framework interpretation, and attributes are divided using seismic and GME geophysical results. The porosity, water content, permeability, mechanical strength, and spatial characteristics of geological bodies are interpreted. Based on the interpretation of porosity, water content, permeability, mechanical strength, and spatial characteristics of geological bodies, the three-dimensional boundaries of the attributes are defined. The attribute data is assigned to the geological framework model to obtain the optimized seismic attribute model.

[0073] In S5, the geological analysis specifically involves: combining regional tectonic data with sedimentary facies to conduct numerical simulations and geological extrapolations to analyze faults, folds, and sedimentary structures in the regional tectonic data; and in S5, the optimization involves using sedimentary geology and tectonic geology theories to verify and correct the three-dimensional boundaries of geological bodies in the seismic optimization attribute model.

[0074] The measured data in S6 are coal mining data, specifically including remote sensing data, geological survey data, geological exploration data, and regional tectonic data generated during the construction and production stages after the coal mine exploration stage.

[0075] A three-dimensional geological model construction system for transparent mines, used in the method of constructing three-dimensional geological models for transparent mines, includes a data acquisition module, which is sequentially connected to a data processing module, a model construction module, and an application analysis module.

[0076] The data acquisition module is used to collect remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data; the data processing module is used to convert, filter, clean, extract, and fuse the data in the data acquisition module; the model building module is used to build a three-dimensional geological model based on the data in the data processing module; the application analysis module is used to prepare two-dimensional and three-dimensional maps of coal mines and visualize monitoring and early warning based on chart templates; the model building module is equipped with a three-dimensional modeling iterator, a register, a three-dimensional spatial register, and a memory. The three-dimensional modeling iterator is connected to the register, the three-dimensional spatial register, and the memory in sequence, and the memory is connected to the three-dimensional modeling iterator and the register in turn.

[0077] The construction of three-dimensional geological models, two-dimensional and three-dimensional mapping, and monitoring and early warning visualization are achieved by connecting to external electronic devices, namely computers.

Claims

1. A method for constructing a three-dimensional geological model of a transparent mine, characterized in that, Includes the following steps: S1. Acquire remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data, and preprocess them; S2. Based on the control point data in the geological survey data, calibrate the uncalibrated remote sensing data and geological survey data, and then combine the calibrated geological survey data with the remote sensing data to construct a surface model. S3. Construct three-dimensional connections and combinations of geological exploration data according to geological principles, and combine them with the surface model to obtain the initial geological framework model. S4. Based on geological exploration data, the initial geological framework model is optimized and its attributes are assigned to obtain the seismic optimized attribute model. The optimization process described in S4 is as follows: Geological borehole, well logging, gravity, magnetic, electric, and geophysical exploration results, and 3D seismic exploration results from geological exploration data are calibrated; the calibrated seismic records and gravity, magnetic, electric, and geophysical exploration results are used to interpret the stratigraphic framework; the initial geological framework model is corrected and divided according to the stratigraphic framework interpretation; attributes are divided using seismic and gravity, magnetic, electric, and geophysical exploration results; the porosity, water content, and spatial characteristics of geological bodies are interpreted; the three-dimensional boundaries of attributes are divided according to the porosity, water content, and spatial characteristics interpretation of geological bodies; and the attribute data are assigned to the geological framework model to obtain the optimized seismic attribute model. S5. Based on geological and sedimentological theories, the geology is analyzed, and the stratigraphic structure and attribute parameters of the earthquake optimized attribute model are verified, analyzed, and optimized to obtain a refined model. S6. Input the measured data into the refined model for iteration to obtain a three-dimensional geological model.

2. The method for constructing a three-dimensional geological model of a transparent mine according to claim 1, characterized in that, The preprocessing described in S1 includes data transformation, filtering, cleaning, extraction, and fusion.

3. The method for constructing a three-dimensional geological model of a transparent mine according to claim 2, characterized in that, The calibration process described in S2 is as follows: using the borehole elevation and measurement control points in the geological survey data as control points, the remote sensing data and geological survey data are subjected to projection transformation, spatial correction and registration; the surface model is obtained by fitting the calibrated remote sensing data and geological survey data together.

4. The method for constructing a three-dimensional geological model of a transparent mine according to claim 3, characterized in that, The process of determining the three-dimensional connection and combination relationship described in S3 is as follows: First, the stratigraphic structure and geological structure of the coal and rock strata in the coal mine are delineated using borehole columnar sections, geological profiles, coal and rock strata contour maps, and geological realistic profiles from geological exploration data, to determine the stratigraphic framework of the coal mine and the overburden relationship between the strata; Second, a three-dimensional columnar section is established at each borehole location to form the planar coordinates and top and bottom elevation data of each stratum and geological body; Next, the columnar sections of two adjacent boreholes are connected to jointly construct a joint well profile, and the three-dimensional connection and combination relationship of the underground geological bodies is obtained based on the joint well profile; In S3, optimization is performed using ordinary Kriging interpolation, generalized Kriging interpolation, co-Kriging interpolation, multivariate Kriging interpolation, Bayesian Kriging interpolation, global polynomial, or inverse distance weighted interpolation methods.

5. The method for constructing a three-dimensional geological model of a transparent mine according to claim 4, characterized in that, The geological analysis described in S5 specifically involves: combining regional tectonic data with sedimentary facies to perform numerical simulation and geological extrapolation, and analyzing faults, folds, and sedimentary structures in the regional tectonic data; the optimization described in S5 involves using sedimentary geology and tectonic geology theories to verify and correct the three-dimensional boundaries of geological bodies in the seismic optimization attribute model.

6. The method for constructing a three-dimensional geological model of a transparent mine according to claim 5, characterized in that, The measured data mentioned in S6 refers to coal mining data, specifically including remote sensing data, geological survey data, geological exploration data, and regional tectonic data generated during the construction and production stages after the coal mine exploration stage.

7. A three-dimensional geological model construction system for transparent mines, used in the three-dimensional geological model construction method for transparent mines according to any one of claims 1-6, characterized in that, It includes a data acquisition module, a data processing module, a model building module, and an application analysis module, which are connected in sequence.

8. The three-dimensional geological model construction system for transparent mines according to claim 7, characterized in that, The data acquisition module is used to collect remote sensing data, geological survey data, geological exploration data, regional tectonic data, and measured data; the data processing module is used to convert, filter, clean, extract, and fuse the data in the data acquisition module; the model building module is used to build a three-dimensional geological model based on the data from the data processing module; the application analysis module is used to prepare two-dimensional and three-dimensional maps of coal mines and visualize monitoring and early warning based on chart templates; the model building module is equipped with a three-dimensional modeling iterator, registers, a three-dimensional spatial calculator, and a memory, which are connected in sequence, and the memory is connected to the three-dimensional modeling iterator and the register respectively.

9. The three-dimensional geological model construction system for transparent mines according to claim 8, characterized in that, The construction of the three-dimensional geological model, the two-dimensional and three-dimensional mapping, and the monitoring and early warning visualization are achieved by connecting to external electronic devices.

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