240 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 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 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 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 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 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 relates to the technical field of geological exploration and three-dimensional modeling, and discloses a geological structure three-dimensional measurement system based on inertial navigation. According to the system, an inertial measurement data flow is processed through a resolving module, the instantaneous space attitude and the relative displacement vector of a measurement carrier are obtained, and a basic three-dimensional geologic structure model is constructed. The quantization module calculates the confidence coefficient of a resolving result in real time and generates a space-time uncertainty distribution field; and the model correction module performs error propagation analysis by using the distribution field, and performs iterative optimization of geometric morphology on a low-confidence region in the model. The system imports lithology, formation and structure interpretation data from the outside, and associates the data as attributes to the model. And the result packaging module packages the optimized model, the association attribute and the uncertainty distribution field into a composite three-dimensional geological survey result file. According to the method, dynamic quantification and visualization of measurement uncertainty are realized, the model can be autonomously optimized, and the reliability and precision of inertial navigation three-dimensional geological modeling are improved.

The invention relates to the technical field of oil and gas reservoir development and geological modeling, and discloses a multi-scale factor constraint-based tectonic network fracture modeling method, which comprises the following steps of: synthesizing a Riemannian metric tensor field on the basis of earthquake, logging and geomechanics data, and defining non-Euclidean distance cost of a fracture expanded in an anisotropic medium; initial seed points are screened according to the elastic strain energy density, and initial growth potential energy in a limited range is distributed; solving the eikonal equation by using an anisotropic fast marching algorithm to carry out wavefront competitive growth, and dividing a grid region into generalized Voronoi units; identifying a wavefront contact interface, and extracting gradient features to judge a fusion or truncation type so as to establish fracture topological connection; and finally, tracking a geodesic line path along an anti-gradient direction to generate a three-dimensional discrete fracture network. According to the method, macro and micro constraints are unified through Riemannian geometry, clear physical significance is given to the fracture by utilizing an energy mechanism, and automatic and accurate construction of the complex fracture network topology structure is realized.

The invention discloses a three-dimensional geological modeling method based on sequential Gaussian simulation, and particularly relates to the technical field of geological modeling, in particular to a three-dimensional geological modeling method based on sequential Gaussian simulation. The method comprises the steps of obtaining and preprocessing geological data, constructing a three-dimensional grid model, analyzing a space structure by adopting an improved variation function integrated with anisotropic parameters, carrying out random simulation by utilizing a sequential Gaussian simulation algorithm and introducing a dynamic conditional mechanism, and meanwhile, integrating multi-source soft data as collaborative variables to apply geological constraints. And finally, post-processing and uncertainty quantification are carried out on a simulation result. According to the method, the description precision of the model on a complex geological structure, the efficiency of simulation calculation and the reliability of multi-source data collaborative application are effectively improved.

The invention discloses a data processing method based on three-dimensional geological modeling, and the method comprises the steps: constructing a macro-medium-micro three-level geological data collection system, and forming a multi-scale geological data pool through coordinate unification and format standardization processing; generating a multi-resolution three-dimensional geologic model by combining a weighting algorithm and a cross-scale calibration technology on the basis of a layered dynamic fusion architecture; incremental dynamic updating of the model is realized based on an Internet of Things sensor network and an edge computing node; and finally, multi-stage geological disaster early warning is generated through mechanical parameter threshold analysis and an AR visualization technology. According to the method, full-process closed-loop management from data acquisition to early warning generation is realized, the fusion problem of multi-source heterogeneous geological data is effectively solved, the timeliness, accuracy and visualization level of geological disaster early warning are remarkably improved, and reliable technical support is provided for geological disaster prevention and control.

The invention relates to a refined three-dimensional geological modeling method based on a geophysical prospecting three-dimensional inversion algorithm, and belongs to the field of geological exploration, and the method comprises the steps: obtaining multi-source data, constructing an initial model, and obtaining a three-dimensional physical property model through the combined constraint of the three-dimensional inversion algorithm; creating a lithology classifier, generating a three-dimensional lithology probability body according to the three-dimensional physical property model, performing geological structure boundary enhancement, and performing geological classification based on the probability body; and extracting a contour surface from the three-dimensional lithologic probability body, generating a preliminary geological interface, performing construction processing, performing attribute model coupling, and outputting a model. According to the method, the spatial continuous model is directly constructed through three-dimensional joint inversion, and interpolation errors between measuring lines are avoided; drilling data forced matching and geophysical prospecting data trend control consider both local precision and global rationality; the whole process algorithm is driven from inversion to lithology classification, and manual intervention is reduced; the method is suitable for high-precision scenes such as urban underground space, mineral exploration and geological disaster assessment.

The invention discloses a geologic model dynamic construction method and system based on digital twinning, and relates to the technical field of geologic modeling, and the method comprises the steps: carrying out the semantic interpretation of multi-source geologic data based on a domain ontology library, and generating an initial geologic model; representing the initial geologic model as a semantic topological graph; in response to updating of the exploration data, performing semantic mapping on the exploration data and the domain ontology library, performing topology diffusion analysis and geological law constraint in a semantic topological graph based on a mapping result, and determining a semantic topological influence domain to be updated; creating a virtual branch for the semantic topology influence domain, and copying the geologic volume metadata in the influence domain into the virtual branch; in the virtual branch, according to the exploration data and the existing data, reconstructing the attribute of the geologic volume element to obtain an updated virtual branch; and combining the change content after conflict resolution to a semantic topological graph to obtain an updated geological model. The invention provides a convenient and reliable dynamic geological modeling method.

The invention relates to the technical field of coal mining, in particular to a coal mining prediction method and a coal mining prediction device. The method comprises the steps of obtaining geological basic data, and obtaining a regional geological database based on the geological basic data; based on the regional geological database, carrying out three-dimensional geological modeling by adopting a multi-field coupling modeling method; performing dynamic iteration correction on the three-dimensional geologic model based on the data consistency constraint of the virtual sensor node; production working condition parameters of the working face in the mining process are obtained in real time, the production working condition parameters are converted into constraint conditions of the three-dimensional geologic model, and dynamic modeling in the mining process of the working face is carried out; based on the production working condition parameters and the three-dimensional geologic model, intelligent analysis and multi-field coupling simulation are carried out, and a mining prediction result is obtained; updating the mining decision in real time based on the mining prediction result; the device is applied to the method, and accurate prediction, dynamic optimization and safety guarantee of the mining process are achieved.

The invention discloses a bridge pile foundation design auxiliary system based on three-dimensional geologic modeling, and relates to the technical field of bridge engineering design, the system comprises the following components: a data acquisition module, a three-dimensional geologic modeling module, a digital twin construction module, a simulation analysis module, a life prediction and strategy making module and a data integration platform; according to the invention, a plurality of modules such as a data acquisition module, a three-dimensional geological modeling module, a digital twinborn body construction module, a simulation analysis module, a service life prediction module and a strategy making module are integrated, so that the full-life-cycle management of the bridge pile foundation from design, construction to operation and maintenance stages is realized; the system can simulate the mechanical response and performance attenuation process of the pile foundation in different service scenes, a scientific maintenance strategy and residual service life prediction are provided for the bridge pile foundation in combination with the life prediction and strategy making module, and the safety and reliability of the bridge pile foundation are improved through the full-life-cycle management mode.

The invention relates to a method for predicting fracture development laws of carbonate rocks with different lithologies, which comprises the following steps of: performing lithology division on a target layer of a research area, and analyzing fracture development characteristics with different lithologies; simulating fracture development conditions of different lithology under different confining pressures in different burial depth environments of the research area through a rock compression experiment to obtain fracture development laws of different lithology; identifying the lithology of each single well in the research area by using a well logging curve under core calibration to obtain a lithology interpretation result of each single well; the fracture development rules of different lithology are matched with the lithology interpretation result of each single well, and the fracture development condition of each single well target layer in the research area is obtained; and predicting the fracture development condition of the target stratum of the research area by utilizing a three-dimensional geologic modeling method according to the interpretation results of different lithology of the target stratum of each single well and the fracture development condition. According to the method, multiple means of actual petrology observation, indoor rock core experiments, well logging interpretation and three-dimensional modeling are combined, the development laws of carbonate rock fractures of different lithology on the ground and underground can be accurately predicted, a fractured reservoir development area can be found easily, and a reliable basis is provided for exploration deployment.

The invention discloses a complex riverway geologic modeling method based on automatic pickup of multiple object source directions, and belongs to the technical field of oil-gas exploration and development, and the method comprises the following steps: S1, obtaining the plane and longitudinal distribution characteristics of a riverway; s2, establishing a three-dimensional space distribution model of the river channel body in different periods, and processing boundary data of the river channel in different periods; s3, calling azimuth angle data to establish a sand body distribution model in the river channel in different periods; s4, single well reservoir types are divided, and reservoir type distribution models in the river channels in different periods are established; and S5, discretizing the porosity curve of the single well, calling azimuth angle data to establish porosity models under different reservoir types, and establishing permeability models under different reservoir types. According to the built river channel sand body and physical property parameter model, the situation that reservoir physical property distribution is controlled by river flow direction variability material sources is truly represented, the method is suitable for scenes with large work areas and complex river channel distribution, and modeling timeliness and accuracy can be improved.

The invention discloses a laterite nickel ore resource management method. The method comprises the steps of multi-source data integration and three-dimensional geological modeling, modular mining design and boundary optimization, refined mining and grade control, and digital ore blending and production monitoring. According to the method, a multi-software cooperative working platform is constructed, and three-dimensional geological modeling and spatial analysis technologies are integrated, so that a high-precision geological model is established; on the basis of the high-precision geologic model, a modular mining design and a dynamic road system are innovatively adopted to realize high efficiency and flexibility of the mining process; meanwhile, an ore dilution prediction model is established through a big data analysis technology, grade control and ore blending optimization are carried out on the whole process of ore from mining to transportation, and stable quality of a final product is ensured.

The invention belongs to the field of seismic data processing and geological modeling, and particularly discloses a seismic image super-resolution reconstruction method based on a multi-scale double-discriminator GAN, and the method comprises the following steps: constructing a synthetic seismic data set, and carrying out the preprocessing; a multi-scale double-discriminator generative adversarial network framework is constructed, the framework comprises a generator and a double-discriminator system, the generator adopts a network structure based on multi-scale residual groups, and each multi-scale residual group comprises parallel multi-branch expansion convolution, an enhanced residual dense block and an improved convolution attention mechanism; the double-discriminator system is composed of a structure discriminator and a frequency domain discriminator, and the authenticity of a spatial geologic structure and the physical rationality of a frequency domain signal are restrained respectively. The generator generates a high-resolution seismic image by minimizing a joint loss function of adversarial loss, reconstruction consistency loss and perception loss. According to the method, the full-scale geologic features can be accurately captured while noise interference is suppressed, and the reconstruction precision of complex structures such as thin layers and faults is improved.

The application discloses a watered-out layer secondary interpretation method under the condition of small layer level oil-water interface understanding, and steps are as follows: step 1, small layer geological modeling and oil-water interface fine calibration; step 2, well logging data standardization and quality control; step 3, continuous calculation of small layer mixed formation water resistivity; step 4, completion of reservoir parameter quantitative calculation; step 5, obtaining of primary interpretation based on small layer oil-water interface; step 6, implementation of secondary iteration correction under the constraint of production dynamics; and step 7, output of interpretation results and application suggestions. The application belongs to the technical field of oilfield development well logging interpretation, and solves the problems that the prior art is not accurate in key parameter calculation, the interpretation process is single, and the precision and actual development demand are not matched.

The application provides a three-dimensional geological modeling method and system for ductile shear zone type gold exploration, and relates to the technical field of gold exploration modeling. The application extracts a plurality of alteration anomaly zones related to gold mineralization hydrothermal alteration by acquiring multispectral remote sensing data of an exploration area; superimposes the anomaly zones to identify a prospecting target area and acquire electrical parameter data such as apparent resistivity and apparent polarization rate; determines the structural geological distribution in combination with surface geological mapping, divides a prospecting unit in space superposition with the target area, sets the electrical parameter range to establish a three-dimensional prospecting unit framework; and obtains the three-dimensional distribution of electrical parameters and the geological unit boundary by jointly inverting the electrical parameters as measured data, the framework and the parameter range, generates a three-dimensional geological model reflecting the spatial distribution of the gold mineralization body, and can accurately depict the spatial distribution of the ductile shear zone type gold mineralization body, thereby supporting efficient exploration.

The application provides a tetrahedron classification method and system based on a geological body surface grid, and relates to the technical field of geological modeling. The method comprises the following steps: acquiring closed surface grid data of a plurality of geological bodies; performing tetrahedron subdivision on the closed surface grid to obtain corresponding tetrahedron grids; performing category division on the subdivided tetrahedrons based on a zoning strategy and a priority strategy according to spatial geometric information and attribute labels of the geological bodies to obtain tetrahedron classification information; identifying contact surfaces in the generated tetrahedron grids, and generating a contact surface category matrix based on the boundary relationship between the plurality of geological bodies; and outputting a tetrahedron grid data structure containing the tetrahedron classification information and the contact surface category matrix. The application can significantly reduce manual operation, improve classification accuracy and simulation efficiency, and is suitable for complex geological numerical simulation tasks.

The invention discloses a digital basin modeling method for multi-source heterogeneous geological data fusion, and relates to the technical field of data processing, and the method comprises the steps: collecting multi-source heterogeneous geological data of a target region, and generating fusion geological features; a digital basin initial three-dimensional model is constructed based on fused geologic features, multi-physics-material field coupling simulation and geologic evolution time sequence optimization in a basin space are carried out, a digital basin model is generated, dynamic target scene features are extracted to carry out personalized adjustment and optimization on the dynamic target scene features, and a personalized digital basin model is generated. The technical problems that in the prior art, large basin scale geologic modeling data integration capacity is insufficient, space coverage is limited, and real-time dynamic updating capacity is lacked, so that modeling precision and applicability are insufficient are solved, and the purpose of improving modeling precision and applicability through multi-source data fusion, multi-physical-matter field coupling simulation and reinforcement learning optimization is achieved. And the technical effects of dynamic trueness, precision and scene adaptability of the digital basin model are improved.

The invention relates to the technical field of three-dimensional geologic modeling, tunnels and underground engineering, in particular to a complex stratum-oriented shield area rapid modeling method, device and equipment, which is driven by three-dimensional point set data containing horizon categories, constructs a modeling domain through data verification and calculation of a space bounding box, generates a geologic entity and a shield tunnel model, and improves the construction efficiency. Deducting a tunnel space to form a geologic modeling domain containing a cavern; a continuous grid size field is constructed based on the tunnel distance field and the stratum complexity, the partition width and the representative size are automatically determined, and self-adaptive zoning encryption is achieved; meanwhile, constructing a horizon self-adaptive judgment mechanism, and stably, continuously and automatically assigning horizon to the grid units through a joint decision; according to the method, the problems of boundary fuzziness and horizon misjudgment are avoided, the modeling precision and consistency of the complex stratum are improved, dynamic updating of the model is supported, the three-dimensional geologic model which can be directly used for construction analysis and parameter optimization can be output, and efficient and reliable technical support is provided for all links of shield construction.

The application discloses a hierarchical simulation geological modeling method under anisotropic tensor and uncertainty constraint, relates to the technical field of geological modeling, and comprises the following steps: inputting selected profile sample grade data, fitting a variation function and defining simulation parameters; performing conditional simulation according to the simulation parameters to generate a plurality of simulation implementations reflecting spatial anisotropy; controlling a hierarchical decomposition process through checking a termination condition, performing threshold smoothing processing on a sub-region after termination, saving an optimal threshold value and a class probability field of the sub-region, updating a global probability field by using a back transmission mechanism, outputting a grid of a final class probability field, and forming a rasterized ore body shape. The application obtains local threshold optimization through continuous hierarchical simulation and iteration, replaces unoptimized results, and forms optimal simulation results of the ore body, so that the uncertainty transmission of a traditional method is effectively reduced, and the accuracy and rationality of geological domain division are improved.

The invention discloses a natural fracture volume scale prediction method and device. The method comprises the following steps: acquiring basic parameters of gas production of a plurality of developed gas reservoirs in a target area; calculating dynamic reserves of the plurality of developed gas reservoirs according to the basic parameters of the plurality of developed gas reservoirs; according to the dynamic reserves of the developed gas reservoirs, establishing a relation model between the dynamic reserves of the gas reservoirs in the target area and the fracture volume scale; and obtaining the natural fracture volume scale of the target gas reservoir according to the dynamic reserves of the target gas reservoir in the target area and the established relation model of the dynamic reserves of the target gas reservoir in the target area and the fracture volume scale. According to the method, on the basis of considering the correlation between the gas reservoir fracture volume and the dynamic reserves, the fracture volume can be obtained through geological and geophysical researches without consuming a large amount of cost, and the corresponding fracture volume scale can be accurately predicted, so that a good basis is provided for gas reservoir geological modeling, technical policy making and development scheme compiling.

The application relates to the field of mine geological modeling, in particular to a dynamic geological modeling method and system based on adaptive updating of multi-source heterogeneous data. The method comprises the following steps: acquiring tailing pond state feature data set, constructing a time-space lag prediction model through a machine learning method according to the tailing pond state feature data set; acquiring a tailing pond operation plan information set, predicting a pore water pressure change information set inside a tailing dam in a future period of time by using the time-space lag prediction model based on the tailing pond operation plan information set and a current ore pulp liquid level state; and performing dynamic evaluation of tailing dam stability according to the pore water pressure change information set and outputting stability early warning information. In the mine geological modeling process, timely allocation of emergency resources and accurate grasp of prevention and control time are realized, and chain instability of dam body and disastrous dam break accidents are reduced.

This application relates to the field of open-pit mining technology, and provides an adaptive open-pit geological spatial grid mapping method and system. In this method, based on the Hough space curve of the geographic coordinates of open-pit geological exploration boreholes, a first kernel density estimation curve for the boreholes is determined. After constructing a linear space for the boreholes based on the first kernel density estimation curve, the geographic coordinates of the boreholes are converted into linear spatial coordinates, and a second kernel density estimation curve for the boreholes is determined based on the linear spatial coordinates. A peak matrix is ​​constructed based on the coordinate axis values ​​corresponding to the peak values ​​of the second kernel density estimation curve, and the adaptive grid position of the boreholes is determined based on the linear spatial coordinates and the peak matrix. This achieves an adaptive open-pit exploration borehole grid and determines the position of each open-pit geological exploration borehole within the grid, providing a new means for three-dimensional geological modeling of open-pit mines and meeting the practical needs of combining open-pit geological exploration with three-dimensional geological modeling.

The invention belongs to the technical field of three-dimensional geologic modeling, and particularly discloses a three-dimensional geologic modeling method based on a multi-discriminator attention generative adversarial network, and the method comprises the steps: firstly carrying out the unified preprocessing of a three-dimensional geologic training sample, and constructing a three-dimensional generative network for generating a three-dimensional geologic body; then two-dimensional discriminators corresponding to the X direction, the Y direction and the Z direction are constructed respectively, and mixed median space-channel attention modules are embedded in the discriminators so as to enhance the recognition capability of the multi-scale geologic structure. The method comprises the following steps: slicing a generated three-dimensional body along three directions, respectively inputting the sliced three-dimensional body into corresponding discriminators to obtain three-direction discrimination scores, updating the discriminators in all directions based on real and generated slice differences, and constructing a comprehensive evaluation index through weighted fusion to update generator parameters. Through iterative training, the generator can meet three-direction structural constraints at the same time, and the direction consistency and the structural fidelity of the three-dimensional geologic body are improved.

This invention relates to the fields of tunnel engineering and 3D geological modeling technology, specifically to an intelligent modeling method and system for 3D geological uncertainty in tunnels based on transition probability geostatistics and sparse boreholes. The method includes: S1, integrating multi-source data to construct a 3D geological conceptual model; S2, statistically characterizing a one-dimensional transition probability matrix, calculating and fitting a spatial continuity and 3D anisotropic variability function model; S3, calculating the prior spatial probabilities and transition adjustment factors for various lithologies, obtaining the posterior lithology distribution of nodes through Bayesian intelligent updating, and initially assigning lithology categories to nodes through random sampling; S4, assigning the most probable lithology category to each grid node, calculating the variance of lithology values ​​across all implementations, and measuring model uncertainty; S5, outputting the optimal 3D uncertainty model for the tunnel; and S6, verification and evaluation. This invention can effectively achieve 3D heterogeneous modeling and explicit quantification of uncertainty under strong geological constraints.