360 results about "Geologic modelling" patented technology

The present invention belongs to the technical field of fracture network optimization in oilfield exploitation. Specifically disclosed are a method and system for optimizing complex fracture networks in shale reservoirs. The method comprises: S1, on the basis of geological-engineering bimodal data fusion, constructing a three-dimensional digital twin of heterogeneous reservoirs; S2, synchronously calculating the interactions among fluid flow, rock fracturing and proppant transport during a hydraulic fracturing process; and S3, automatically and iteratively optimizing a combination of fracturing operation parameters. By means of constructing a closed-loop system consisting of geological modeling, multi-field coupling simulation, intelligent optimization and dynamic correction, efficient design and real-time optimization of complex fracture networks in shale reservoirs are realized.

The invention provides a geophysical gravity and magnetic anomaly source model construction and rapid forward and reverse modeling method, and relates to the technical field of intelligent three-dimensional geological modeling and simulation. According to geological information of a research area, source body modeling parameters of a gravity and magnetic anomalous field are set for the research area, and a three-dimensional model matrix M capable of describing a plurality of underground anomalous bodies is obtained; constructing a fast forward modeling network, establishing nonlinear mapping from the three-dimensional model matrix to the simulated abnormal data through the fast forward modeling network, and calculating forward modeling response of the three-dimensional model matrix; and constructing an inversion network based on a concurrent module CFTBlock and combining a CNN and a Transform, and establishing nonlinear mapping from the gravity and magnetic abnormal data to a three-dimensional model matrix. The method has the advantages of fast and accurate forward modeling, high-resolution inversion and the like, and is suitable for better interpretation of actually measured gravity and magnetic data.

The invention discloses a three-dimensional geological modeling method based on multi-source data, and particularly relates to the technical field of geological modeling. The method comprises the following steps: firstly, acquiring and preprocessing multi-source heterogeneous data including geological exploration, geophysics, remote sensing and drilling data, and carrying out cleaning, format unification and coordinate registration; performing semantic association, topological integration and uncertainty quantization processing on the data through a fusion rule to generate unified multi-source fusion data; then, an implicit or explicit modeling algorithm is adopted to automatically construct an initial three-dimensional geologic model, the model is optimized based on geologic law constraints such as geologic stack overlay and structural continuity, and a final model with reasonable geologic significance is generated; and finally, dynamically updating and maintaining the model through a version management and increment fusion technology. According to the method, efficient fusion of multi-source data and automatic model construction are realized, and the precision, reliability and updating efficiency of the three-dimensional geologic model are improved.

The invention relates to the technical field of multi-source data fusion, in particular to a multi-source geological data processing method and system of a three-dimensional geological model.The method comprises the following steps that mountain landform and river valley images are obtained, gray frequency characteristics are extracted, a frequency energy gradient layer is constructed, a frequency continuous response area is screened to generate a structure boundary set, and a structure boundary set is constructed; the method comprises the following steps of: extracting a boundary normal vector by utilizing principal component analysis, identifying boundary sections with consistent directions, estimating a physical property parameter gradient direction, judging an included angle screening blocking region, generating a space attribute limiting layer, carrying out space alignment analysis on an overlapping region vector included angle, updating a boundary label, and generating an available attribute path structure set in three-dimensional geological modeling through a Dijkstra algorithm. According to the method, a conduction model is constructed through frequency domain decomposition and logarithmic transformation enhanced recognition, frequency window analysis noise reduction, principal component extraction vector analysis direction and center difference estimation, dynamic matching is promoted through alignment, a Dijkstra algorithm optimizes a path, and the geological model bedding characterization and conduction simulation precision is improved through cooperation of a multi-dimensional technology.

The invention relates to the technical field of underground water monitoring, in particular to an underground water dynamic monitoring multi-element early warning system based on data analysis, which comprises a data fusion acquisition module, a dynamic geological modeling module, a deep learning prediction module, a multi-level intelligent early warning module and an intelligent response decision module. Wherein the data fusion acquisition module is used for acquiring multi-dimensional data; the dynamic geologic modeling module is used for constructing a three-dimensional dynamic model of an underground water aquifer; the deep learning prediction module predicts the future change trend of the underground water level and the water quality; the multilevel intelligent early warning module is used for establishing a multilevel early warning mechanism; and the intelligent response decision module formulates corresponding underground water management and emergency response strategies. According to the invention, through real-time integration of multi-source data and combination of intelligent early warning and automatic management, the accuracy and response speed of underground water monitoring are significantly improved, and sustainable management and protection of underground water resources are effectively supported.

The invention provides a coal mine high-precision three-dimensional geological modeling method and system based on multi-source heterogeneous data fusion, and relates to the technical field of coal mine geological modeling. The method comprises the following steps: establishing a unified semantic reference system and a time-space coordinate reference, and generating an alignment anchor point set; mapping the multi-source observation data to form an alignment feature set and calculating a source weight; according to a multi-evidence consistency rule and geomechanical prior inversion, a discontinuous geological structure is obtained; constructing an implicit stratigraphic function and applying a boundary jump condition to solve a stratigraphic boundary set; and taking the stratum boundary as a framework, and executing anisotropic joint estimation to obtain a property distribution model and an uncertainty result. According to the method, integrated modeling of the geological structure and the property of the complex structure area is achieved, and the precision, the stability and the credibility of the three-dimensional geological model are remarkably improved.

The invention relates to the technical field of data processing, and provides an unmanned aerial vehicle-mounted LiDAR geological modeling and intelligent blasting parameter optimization system, which is characterized in that a laser point cloud and a multispectral image are deeply correlated through a data acquisition module based on a tight coupling algorithm, the sampling quality of a point cloud data set is evaluated, and a supplementary flight instruction is judged and generated; a complete data source is provided for subsequent geological modeling; the geological modeling module divides the point cloud data set through an adaptive threshold algorithm to identify rock mass structural surfaces, analyzes a spatial topological relation of the rock mass structural surfaces based on a graph neural network, performs clustering to form a control structural surface group, and associates the control structural surface group with spectral features through a convolutional neural network to cooperatively discriminate rock mass properties; geological indexes of the three-dimensional geological model are extracted through a parameter optimization module, blasting parameters are generated after genetic algorithm processing, the blasting effect is judged through laser point cloud obtained again after blasting and change characteristics are extracted, the parameters of the genetic algorithm are reversely adjusted, and the three-dimensional geological model is updated.

The invention relates to the technical field of three-dimensional geological modeling and geological mapping data processing, in particular to an oblique photography three-dimensional surface model geological modeling system and method, and the system comprises a data collection module, a scene construction module, a boundary line processing module, a geologic body modeling module, a profile linkage module and a result output module. The data acquisition module fuses the oblique photography image and topographic data, and generates a three-dimensional earth surface model through a motion recovery structure algorithm; the geologic body modeling module constructs a closed geologic body through implicit curved surface reconstruction and constrained triangulation; a profile linkage module calls a graph neural network to predict a stratigraphic intersection line trend, and realizes two-dimensional and three-dimensional real-time synchronization based on event driving and sparse voxel hash mapping; and the result output module executes data verification and generates a multi-dimensional geological report. According to the scheme, dependence of a third-party tool is eliminated, geological mapping efficiency is improved, and the problem of section linkage delay is solved.

The invention discloses a skarn type deposit three-dimensional metallogenic prediction method, system and equipment and a medium, and relates to the technical field of mineral exploration. The method comprises the following steps: collecting and sorting geological information of a to-be-studied area and a surrounding area; according to the collected information, performing gravity-magnetic three-dimensional physical property inversion and lithology mapping; carrying out gravity-magnetic three-dimensional comprehensive geological modeling by adopting a discrete body inversion method; on the basis of the constructed model, performing three-dimensional metallogenic favorable contrast prediction; constructing a three-dimensional mineralization comprehensive prediction model based on the mineralization favorable degree value; and carrying out target region delineation and verification by using the three-dimensional metallogenic comprehensive prediction model to complete three-dimensional metallogenic prediction under the support of regional gravity and magnetic data. The method has the advantages of wider prediction range, high prediction reliability and the like.

The invention relates to the technical field of wind power road geological analysis, in particular to a three-dimensional geological modeling and section visualization method and system for wind power road construction. The method comprises the following steps: establishing a geological drilling data matrix through geological drilling data; extracting geological attribute data through lithology analysis, calibrating the relationship of each stratum through sequence analysis, constructing a standardized geological drilling data set, constructing a spatial continuous geological attribute scalar value distribution model through a Gaussian process interpolation algorithm, and constructing an implicit function by taking the geological attribute scalar value distribution model as the implicit function. And generating a three-dimensional geologic model through a contour surface extraction algorithm, carrying out geologic attribute scalar value extraction on the three-dimensional geologic model based on the road route data, generating wind power road profile data, and visualizing a data result. An efficient and low-cost solution is provided for geological judgment and optimization in wind power plant road design, the requirements for accuracy and high efficiency of engineering projects are met, and reliable guarantee is provided for wind power road construction.

The invention discloses a geological modeling method for fusing remote sensing and seismic data based on a multi-mode auto-encoder, and the method comprises the steps: collecting a remote sensing image covering a target area and seismic exploration data, and converting the attribute of the seismic exploration data into a resolution consistent with the remote sensing image; respectively extracting remote sensing image features and seismic attribute features by using a parallel double-branch coding structure of a multi-mode encoder; a fusion module is arranged in the middle layer of the remote sensing image encoder and the seismic attribute encoder, fusion is carried out in the fusion module, remote sensing images and seismic data are reconstructed by using a decoder based on fusion features, and difference data between reconstructed data and the remote sensing images and the seismic data are calculated based on a combined loss function introducing regular terms. Training a multi-modal encoder by using the difference data to obtain an encoding feature and a difference heat map; and on the basis of the coding features and the difference heat map, key geological structure region identification and visual display are carried out, and key geological structures comprise faults and lithology.

The invention provides a geological disaster deduction method and system based on a digital twinborn simulation platform, relates to the technical field of geological disaster deduction, and improves the accuracy and robustness of data fusion by adopting a dynamic weight fusion algorithm and combining information entropy and reliability score; constructing a digital twin model based on a multi-source data inversion and three-dimensional geological modeling technology, updating geological parameters in real time, and reflecting the state change of a geological body; a multi-level stepped early warning model is introduced, and the timeliness and foresight of early warning are enhanced by fusing a physical model and deep learning prediction; and in combination with the graded disaster deduction model, the precision is dynamically selected, and the risk thermodynamic diagram is generated, so that the spatial fineness and decision support capability of geological disaster risk identification are improved. Multi-dimensional organic collaboration is realized, the overall accuracy and response speed of the system are enhanced, and efficient and accurate disaster risk management requirements in a complex geological environment are met.

The invention discloses a shale oil geological engineering dessert evaluation method and device based on geological modeling, and the method comprises the steps: determining a shale oil facies classification scheme and shale oil dessert evaluation key parameter values according to the shale oil geological engineering logging interpretation data, determining the corresponding scores of different shale rocks, and obtaining the shale oil dessert evaluation key parameter values of the shale oil facies classification scheme and the shale oil dessert evaluation key parameter values of the shale oil facies classification scheme; and determining a target sweet spot evaluation parameter weight based on sweet spot evaluation attributes of the lithofacies three-dimensional model and actual well drilling productivity data, establishing a shale oil geological engineering integrated comprehensive sweet spot factor, and determining a shale oil geological engineering comprehensive sweet spot evaluation result based on the sweet spot factor and the target sweet spot evaluation parameter value. Through the technical scheme of the embodiment of the invention, comprehensive evaluation of shale oil geological engineering desserts is realized, complexity of shale oil geological features can be adapted, correlation between geological and engineering dessert evaluation parameters is improved, and fine evaluation of shale oil dessert space distribution is ensured.

The invention discloses a GIS-based cross-section diagram real-time synchronous display method and system, and relates to the technical field of geological modeling, and the method comprises the steps: importing multi-source heterogeneous geographic data, carrying out the standardized preprocessing, and generating a geographic information data set in a unified format; carrying out multi-dimensional feature extraction on the geographic information data set by adopting a feature level fusion algorithm, and constructing a multi-dimensional geographic feature model fusing geological structure, terrain elevation and earth surface coverage information; performing data optimization by adopting a spatial interpolation algorithm based on the multi-dimensional geographic feature model to generate a continuous geographic surface model; and performing parallel contour tracking and topological sorting on the discrete section line segment set, and generating a user-defined section diagram supporting interactive parameter adjustment in real time. According to the method, the multi-dimensional geographic feature model is constructed through the feature level fusion algorithm, semantic level association of the geologic structure, the terrain elevation and the earth surface coverage information is realized, the problem of pixel level fusion is solved, and the data space consistency error is reduced.

The invention relates to the technical field of geological physical exploration, discloses a geological exploration method and system based on multi-source data fusion, and aims to solve the problem that in the prior art, a single means is difficult to meet high-precision, high-efficiency and intelligent exploration requirements. The method comprises the following steps: synchronously acquiring remote sensing, geophysical, geochemical and drilling data through a multi-source data acquisition device; performing standardization processing on the heterogeneous data; geologic body features are extracted from the multi-source data and weighted fusion is carried out; constructing a physical constraint joint inversion model to optimize a geological parameter estimation value; a three-dimensional geologic structure model is generated and dynamically updated; and outputting an optimized exploration strategy in combination with the geological model and the exploration target. The system comprises a multi-source data acquisition module, a data standardization and space-time registration module, a feature fusion and joint inversion module, a dynamic three-dimensional geological modeling module and an intelligent decision support module. According to the technical scheme, effective fusion and intelligent analysis of multi-source data can be realized, and the precision and efficiency of geological exploration are remarkably improved.

The invention discloses a geophysical three-dimensional visualization and geologic model construction system, which belongs to the technical field of geophysical data processing and three-dimensional geologic modeling and comprises a multi-source data acquisition module, a volume rendering module, an interactive segmentation module, an uncertainty expression module, a multi-scale fusion module, an attribute interpolation module and a model construction module. Multi-source geophysical data are converted into a visual three-dimensional visual model through a volume rendering technology, an interactive segmentation algorithm is adopted to accurately extract a geologic body boundary, an uncertainty expression mechanism is innovatively introduced to quantify the reliability of the model, and a multi-scale fusion technology is integrated to realize seamless connection from a regional structure to an ore deposit fine structure. The Kriging interpolation functional product physical property parameter three-dimensional distribution field is provided, the spatial cognitive ability and the decision-making efficiency under the complex geological condition are remarkably improved, and a powerful visual analysis platform is provided for geological exploration and resource evaluation.

The invention discloses a provincial-domain-level geologic body vector shearing method, medium and equipment, and relates to the technical field of three-dimensional geologic modelling, the method comprises the following steps: constructing a first-level grid index for a three-dimensional geologic model in a provincial domain range, constructing a second-level spatial index according to the spatial granularity of different element characteristics of a geologic body, and constructing a second-level grid index; a mixed index is formed by the first-level grid index and the second-level spatial index; screening out a sheared geological model set M intersecting with the shearing geological model according to the hybrid index; constructing a local R tree index according to triangular net surface elements of the shearing geologic model and the sheared geologic model, screening out a triangular surface element set A in which the shearing geologic model and the sheared geologic model are intersected by the set M, and generating a completely cut triangular surface element set B; and extracting an intersection set, a union set and a difference set of the set A and the set B, constructing a sheared three-dimensional geologic model, and generating a vector shearing analysis model in a provincial domain range. According to the method, the efficiency and quality of provincial geologic body vector shear analysis can be improved.

The invention relates to the technical field of random geological modeling and numerical simulation integration, in particular to an automatic shield numerical simulation method and device considering geological uncertainty, and the method comprises the steps: extracting geological interface position information based on a pre-constructed voxelization three-dimensional geological model; obtaining structured construction information, and constructing a building informatization BIM model by using the geological interface position information and the construction information; key information of the BIM model is extracted, and a computational grid model and a computational instruction file are respectively generated according to the key information, so that the purpose of calculation integration of the BIM and the numerical simulation software is achieved. Therefore, the problem that according to a design method in the related technology, due to the fact that random geological modeling and numerical calculation analysis are separated from each other, geological uncertainty analysis in shield engineering is difficult to efficiently complete is solved.

The invention discloses a three-dimensional geologic modeling method based on deep learning, which belongs to the technical field of geologic model modeling, and comprises the following steps: acquiring multi-source geologic data and carrying out fusion processing, generating a preliminary three-dimensional geologic attribute model through multi-scale feature extraction, synchronously generating a theoretical three-dimensional geologic model through physical simulation and carrying out comparison, generating three-dimensional difference volume data, performing weight distribution on the three-dimensional difference volume data and quality indexes of multi-source geological data extracted from the three-dimensional grid data, generating dynamic weight distribution, and performing weighted fusion on the preliminary three-dimensional geological attribute model and the theoretical three-dimensional geological model to generate an optimized three-dimensional geological model; and based on the three-dimensional difference volume data, performing iterative optimization by utilizing the optimized three-dimensional geologic model to obtain a final three-dimensional geologic model. Through data driving and physical simulation parallel modeling, dynamic weighted fusion and iterative feedback optimization, a final three-dimensional geologic model with high data matching degree and geologic rationality can be generated.

The invention discloses a sparse drilling data three-dimensional geologic body modeling system based on a generative adversarial network. The modeling system comprises a data acquisition module used for acquiring sparsely distributed borehole data in a monitoring area; the feature extraction module is used for acquiring a multi-scale geologic feature vector; the adversarial network construction module is used for constructing a generative adversarial network model comprising a generator and a discriminator; the prior constraint training module is used for introducing geological prior constraint conditions to train the generative adversarial network model; the geological model generation module is used for screening out a target model meeting a preset geological rationality threshold value; and the optimization module is used for obtaining the geological attribute uncertainty distribution diagram and optimizing the target model to obtain a final three-dimensional geologic body model. According to the method, the problem of geological modeling of sparse drilling data is solved, accurate modeling and uncertainty quantification of a complex geologic body are realized, and the accuracy and reliability of geological modeling are improved.

The invention relates to the technical field of geological modeling, and discloses an underground reservoir three-dimensional geological model construction method and system. The method comprises the following steps: screening drilling data through a preset precision threshold value, correcting topographic data by using a first precision drilling data set to generate a topographic surface model, reversely calibrating a second precision drilling hole, and establishing a multivariate data fusion mechanism; layering standardization is achieved in combination with sedimentary cycle characteristics, aquifer units are automatically divided, and stratum lithology codes are compiled; a three-dimensional model is generated by adopting an implicit modeling method based on modeling boundary constraints, and the model precision is verified through a profile comparison method and a leave-one-out method; and converting the adjusted geological section into a three-dimensional constraint surface to drive the generation of a virtual drill hole so as to realize incremental updating of the three-dimensional geological model. According to the method, the spatial precision of the terrain surface model is remarkably improved, the problem of non-uniform reference of multivariate heterogeneous data is solved, the reliability and accuracy of model construction are improved, the virtual drilling data set is generated, the data are dynamically modeled, and the dynamic updating of the model is realized.

The invention discloses a method and a system for calculating three-dimensional S wave velocity structure interpolation based on an OTG model, which are based on a hybrid interpolation model fusing OK, TPS and GCN technologies, dynamically adjust the weight of an S wave velocity interpolation predicted value calculated based on three methods of OK, TPS and GCN through an adaptive fusion mechanism, and calculate the S wave velocity interpolation predicted value based on the OTG model. And combining with a predicted point coordinate to obtain a final three-dimensional S-wave velocity structure interpolation. In the process of calculating the final S-wave velocity structure interpolation, the multi-dimensional composite loss function is fused, the deviation between the interpolation result and the real physical attribute of the underground medium is reduced, the optimized interpolation result is deeply coupled with the three-dimensional geologic modeling process, accurate mapping of the S-wave velocity in the three-dimensional space is achieved, and the accuracy of the S-wave velocity in the three-dimensional space is improved. And high-fidelity input is provided for subsequent tasks. The method provides an effective means for the three-dimensional fine modeling of the S-wave velocity, and has important reference value for improving the exploration efficiency of oil and gas resources and optimizing the early warning of engineering geological disasters.

The invention provides a uranium ore in-situ leaching solute transport regulation and control method and system based on three-dimensional geological modeling. According to the method, the high-frequency pressure data of the liquid injection well are obtained and combined with the three-dimensional geologic model to construct the permeability distribution field, and the abnormal high-pressure blocking coordinate set is extracted. Magnetic anomaly signals caused by iron ion concentration changes of the leaching agent are synchronously collected, the space gradient of the magnetic anomaly signals is converted into a solute transport trajectory diagram, and a solute diffusion lag map is constructed based on the trajectory diagram. And further extracting a lagging boundary coordinate set, and performing space matching with the abnormal high-voltage blocking coordinate set to generate a blocking retention incidence matrix. And dynamically adjusting a liquid injection well pressure gradient distribution strategy according to the matrix, and generating a pumping and injection flow adjusting instruction to inhibit a leaching dead angle. According to the technical scheme provided by the invention, the efficiency and precision of uranium ore in-situ leaching solute transport regulation and control can be improved.

The invention relates to the field of oil exploration, and particularly discloses a karst area oil exploration target optimization and resource quantity prediction method based on three-dimensional geological modeling. The method comprises the steps that firstly, seismic data, logging data and a rock core analysis result of a karst area are collected, data normalization and time-depth conversion are carried out, and a three-dimensional geologic model fusing structural constraints and physical property constraints is constructed; then multi-attribute indexes such as a coherent body, curvature, amplitude attenuation, deep lateral resistivity and interval transit time are selected, and karst development indexes are calculated through principal component analysis; in combination with parameters such as reservoir thickness, porosity, permeability, trap integrity and oil and gas display, utilizing a multi-index weighted scoring method to screen exploration favorable blocks; and finally, calculating reserves according to a volumetric method to obtain resource quantity prediction results of different target areas. According to the method, three-dimensional fusion modeling, multi-index quantitative optimization and chained calculation of multi-source data are realized, and quantifiable and traceable technical support is provided for oil exploration deployment in a karst area.

The invention discloses a stratigraphic interface unsupervised extraction method, system and device, a medium and a product, and relates to the field of three-dimensional geological modelling, and the method comprises the steps: carrying out the preprocessing of a three-dimensional seismic reflection amplitude image, and determining a preprocessed three-dimensional seismic reflection amplitude image; extracting a feature vector set of the preprocessed three-dimensional seismic reflection amplitude image based on a full convolution U-Net architecture; in an unsupervised learning scene, mapping the multi-dimensional feature vector extracted by each pixel to a plurality of clustering label spaces; based on a self-training strategy, according to the clustering label space, distributing a pseudo target clustering label for each pixel, and determining a target clustering label of each pixel; segmenting a background pixel of the three-dimensional seismic reflection amplitude image and a stratum interface position pixel corresponding to the seismic amplitude extreme value according to the target clustering label, and determining an initial segmentation image; and post-processing the initial segmentation map, and determining a stratum interface position distribution map. The geological boundary identification efficiency is improved.

The invention relates to a construction method, device, equipment and medium of a complex geological reservoir model, and relates to the technical field of oil exploration and development. Comprising the following steps: combining obtained riverway scale parameter data obtained by field actual measurement, a three-dimensional digital outcrop profile of an outcrop profile of a research area, a geological knowledge database of configuration units at all levels of a sub-facies reservoir of the research area, and sedimentary microfacies distribution of the outcrop profile of the research area obtained by combining the riverway scale parameter data to obtain X, Y, Z, Z, Z and Z; performing two-dimensional training image slicing in three directions of Z and Z; and performing three-dimensional training image simulation on the two-dimensional training image slices by using an s2Dcd-DS coupling algorithm, and performing three-dimensional geological modeling by using a multi-point geostatistics modeling algorithm to obtain a three-dimensional geological model. According to the construction method provided by the invention, the complex geological conditions and structural characteristics of the complex geological reservoir such as the plains of the braided river delta can be effectively represented, and oil and gas distribution, well location deployment and remaining oil excavation of the braided river reservoir can be guided.

The invention belongs to the technical field of civil engineering, and discloses a karst area shield tunnel modeling method based on real data, which comprises the following steps: S1, collecting real geological exploration data of a tunnel construction area, and obtaining point cloud data of a karst cave and a stratum represented by three-dimensional space coordinates; s2, preprocessing the collected point cloud data, including removing noise points and normalizing coordinates; s3, reconstructing a three-dimensional geometric model of the karst cave based on the point cloud data, analyzing geometric features of the karst cave and outputting a three-dimensional model file; s4, in finite element software, establishing a three-dimensional model of the shield tunnel and the stratum according to the design parameters; and S5, importing the reconstructed karst cave three-dimensional model into Abaqus, and integrating the reconstructed karst cave three-dimensional model with a shield tunnel and a stratum model to realize karst region shield tunnel integrated digital modeling. According to the method, the authenticity, efficiency and compatibility of geological modeling are improved, and a digital basis is provided for subsequent simulation analysis and engineering design.

The invention belongs to the technical field of geological three-dimensional modeling, and provides a line-plane boundary constraint promotion modeling method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the modeling through employing a line-plane boundary constraint promotion model, and obtaining a three-dimensional geologic body model; the modeling method comprises the steps that a point set of a three-dimensional geologic body is obtained, optimization is conducted through a minimization energy function when radial basis function implicit modeling processing is conducted according to the point set, and a normal vector and an implicit function are obtained; the method comprises the following steps: introducing information of a planar geologic structure into an implicit modeling framework in an integral form, performing line-plane constraint on an implicit function, processing the line-plane constrained implicit function through a solution matrix to obtain an implicit function parameter, and determining a line-plane boundary constraint promotion model according to the implicit function and the implicit function parameter. The planar feature information of a geologic body can be effectively utilized, accurate constraint and continuous expression of a geological interface or a stratigraphic structure are achieved, and the spatial precision and reliability of three-dimensional geological modeling are improved.

The invention discloses a three-dimensional geologic modeling level exploration system, belongs to the technical field of three-dimensional modeling, and aims to solve the problem that accurate evaluation of mineral resource reserves is affected due to the fact that fine morphological changes of an ore body are difficult to accurately present by a traditional method. Mesh subdivision adopts an improved algorithm, grid adaptive adjustment is realized according to physical properties of a geologic body, the expression ability of a model to a complex geologic structure is greatly improved, an attribute assignment unit accurately connects and fuses data and a grid unit and endows the data and the grid unit with real physical attributes, so that the model is more practical, and a dynamic updating unit analyzes by means of a time sequence, so that the dynamic updating efficiency is improved. Time dimension is fused, a model is updated in real time, geological dynamic changes are reflected, the problem of traditional updating lag is solved, the geological analysis unit utilizes multiple methods, volume, trend, inclination angle and resource distribution prediction quantitative data are output for geological research, deep analysis of geological conditions is assisted, and the dilemma that a traditional analysis function is single is overcome.