651 results about "Geological structure" patented technology

The invention relates to the technical field of geological monitoring, in particular to a method for intelligently monitoring geological disasters based on satellite remote sensing, which comprises the following steps of: obtaining corresponding earth surface coverage information through image registration and ortho-rectification processing; identifying terrain boundaries, geological structure features and geological attribute information through the land surface coverage information; recognizing surrounding hidden danger points through a topographic feature extraction method; an image fusion enhancement method is matched with a permanent scatterer interference method, a stable scatterer is extracted, a deformation monitoring network is constructed, and a phase difference value in a high-risk area is obtained through calculation; carrying out unwrapping processing through the phase difference value, and carrying out inversion to obtain earth surface three-dimensional deformation field information in the monitoring area; establishing a geological disaster risk assessment model through space-time clustering analysis; by establishing a risk assessment model, the geological disaster risk in the monitoring area is quantitatively assessed. The beneficial effect of the invention is that comprehensive monitoring and accurate early warning of geological hazard hidden dangers around the transformer substation are realized.

The invention relates to the technical field of tunnel engineering, in particular to a tunnel surrounding rock grading method and system, comprising intelligent sensing and data acquisition, multi-source data fusion and modeling, hybrid model dynamic grading, real-time decision and support optimization, online learning and dynamic feedback, and risk early warning and emergency response. Compared with the prior art that a geological data acquisition mode combining manual drilling coring and low-resolution geophysical prospecting is adopted, efficiency is low, subjective errors are large, and a complex geological structure is difficult to cover, unmanned aerial vehicle LiDAR scanning, intelligent rock core image analysis and a high-density IoT sensor network work cooperatively, and the working efficiency is greatly improved. Real-time dynamic acquisition of full-section geological information is achieved, manual intervention errors are eliminated in combination with a multi-source data fusion algorithm, the automation level and three-dimensional space representation precision of data acquisition are remarkably improved, and a high-resolution holographic data base is provided for surrounding rock classification.

The invention relates to the technical field of geological disaster prevention and control, in particular to a rock engineering slope stability classification method. According to the technical scheme, the method comprises the following steps: obtaining spatial distribution characteristics of a slope structural plane through combined detection of three-dimensional laser scanning and a geological radar, and establishing a quantitative index system containing occurrence, density and connectivity of the structural plane; the method comprises the following steps: acquiring a fracture signal in a slope in real time by adopting a micro-seismic monitoring system, and extracting a micro-seismic event energy release rate, a dominant frequency offset and a seismic source mechanism parameter through time-frequency analysis; and constructing a geologic structure evolution inversion model, reconstructing a geologic structure evolution process based on the regional geologic database and the field drilling data, and calculating the distribution characteristics of the residual stress field of the structure. According to the method, comprehensive, accurate and real-time monitoring and classified evaluation of the rock engineering slope stability are realized, potential risks can be effectively predicted, a scientific and accurate decision basis is provided for slope support and treatment, and the safety and stability of the rock engineering slope are greatly guaranteed.

The invention relates to the technical field of mining area geological monitoring, and discloses a dynamic monitoring system for mining area geological stability, which comprises a data acquisition module used for acquiring geological monitoring data of a plurality of data sources in a mining area; the data preprocessing module is used for performing time synchronization, space alignment, data cleaning and standardization processing on the acquired data; the long-period trend analysis module is used for carrying out time sequence modeling and multi-scale change rate analysis on the preprocessed data; and the adaptive risk model module is used for setting and dynamically adjusting a risk threshold based on the long-period trend analysis result. By introducing a long-period trend analysis and change rate evaluation technology, the recognition precision and early warning foresight of the slow change of the geological structure in the mining area are remarkably improved, and long-term accumulated change characteristics such as settlement and inclination can be captured; meanwhile, the self-adaptive adjustment of the alarm threshold is realized by using the dynamic risk model, so that the system can sensitively deal with geological states at different stages.

The invention relates to the technical field of geotechnical engineering digitization, in particular to a BIM (Building Information Modeling)-based three-dimensional geotechnical engineering investigation information model construction method. The construction method comprises the following steps: acquiring multidimensional geotechnical engineering investigation data, acquiring geotechnical engineering investigation data from multiple sources in real time, including geological drilling position coordinates, soil sample attributes, underground water level dynamic values and geological structure maps, and executing data synchronization operation in the acquisition process to ensure timestamp consistency. According to the method, the technical bottleneck of static physical process in traditional modeling is fundamentally broken through the synergistic effect of a multi-physics field coupled rock and soil information generation mechanism and the dynamic response architecture of the BIM framework.

The invention relates to the field of monitoring and early warning, in particular to a dynamic beam radar monitoring and linkage early warning method and system for a layered side slope of an expressway, and the method comprises the steps: carrying out the layered scanning of a layered geologic structure of the side slope, synchronously obtaining a phase coherent echo signal, carrying out the multi-threshold scattering point extraction, and carrying out the multi-threshold scattering point extraction; through analysis of a prior constraint model and a geological vegetation recognition network, interference signals caused by vehicle passing are eliminated to obtain a space-time coherent scattering point set, the space-time coherent scattering point set is input to a deformation calculation assembly line, differential interference measurement, adaptive atmospheric disturbance correction and slope structure parameter inversion are executed, and a displacement data stream is generated. And carrying out space-time correlation analysis on the layered inclination angle time sequence data and the meteorological and hydrological data, updating a slope stability evaluation index through a dynamic baseline, and generating an early warning instruction. According to the invention, a technical system from interference suppression and precise calculation to decision closed loop is formed, high reliability of road slope monitoring results is ensured, and intelligent support is provided for traffic safety and emergency management and control.

A well location and well trajectory determination method, comprising: on the basis of a stratum pressure test, and a flow phase constraint of each stratum, establishing a full-stratum-series three-dimensional rock mechanical parameter field model, so as to obtain full-stratum-series rock mechanical parameters; on the basis of a geological structure, and a stratum pressure field of each stratum, establishing a three-dimensional full-stratum-series stress field prediction model, so as to acquire full-stratum-series three-dimensional stress field parameters; on the basis of the full-stratum-series rock mechanical parameters, the full-stratum-series three-dimensional stress field parameters and a three-dimensional natural fracture model, establishing a natural fracture activity prediction model, so as to evaluate fracture activity; and determining a well location and a well trajectory on the basis of a three-dimensional original field geostress model, a three-dimensional fracturability prediction model, the fracture activity and a three-dimensional collapse pressure prediction model. By means of the method, the effects of drilling speed increases and modification and production increases can be achieved in complex oil and gas field blocks. Further provided are a drilling speed increase method, a modification and production increase method, a well location and well trajectory determination apparatus, an electronic device, and a computer-readable storage medium.

The invention discloses a geological structure fracture automatic identification and detection system based on deep learning, and relates to the technical field of geological structure fracture automatic identification and detection, and the geological structure fracture automatic identification and detection system comprises a fracture image analysis module, a distortion intelligent evaluation module, a form adaptive correction module, a correction efficiency evaluation module and an identification data management module. The distortion intelligent evaluation module is used for acquiring imaging parameter information of each region in the crack image in real time, judging the form distortion degree of each region in the crack image under a perspective distortion condition, and dividing each region in the crack image into a low distortion region, a medium distortion region and a high distortion region according to a judgment result; and the form self-adaptive correction module is used for constructing a fracture form correction mechanism according to the division result of each region in the fracture image. According to the invention, the problem of fracture shape distortion caused by the change of a shooting view angle is solved, accurate identification and automatic correction of the fracture are realized, and the detection precision and stability are improved.

The invention discloses a full-life-cycle underground engineering geological safety risk collaborative management and control method and system. The method comprises the following steps: performing regional geological structure identification and geological risk identification on a target construction region, and constructing a regional geological digital model; regional construction monitoring information is obtained, and construction risk analysis and cavity prediction are performed in combination with a regional geological digital model, so that regional construction risk analysis information is obtained; constructing a carrier risk assessment model, and analyzing whether the current construction risk affects a building object on the ground or not through the regional construction risk analysis information and the regional construction monitoring information to obtain carrier risk assessment information; and based on the regional construction risk analysis information and the carrier risk assessment information, judging whether construction risk management and control need to be carried out, and if so, generating a risk management and control scheme to carry out regional construction safety risk collaborative management and control. And timeliness, comprehensiveness and decision reliability requirements of underground engineering construction management and control in a complex geological environment are improved.

The invention discloses a rock burst prediction large model construction method based on multi-modal data, and the method comprises the steps: constructing a multi-modal data set through collecting data of different modals; preprocessing the multi-modal data set, and constructing a precursor mode sequence of model training; according to the characteristics of different mining areas, the precursor mode sequence is converted into a corresponding grade form, and corresponding rock burst danger grade labels are divided; transform is adopted as a core framework, the precursor mode sequence after grade division is processed, and finally prediction of the rock burst grade occurrence probability is achieved. A comprehensive index method is used for independently evaluating the danger degree of the mining information data and the geological structure data, and the overall danger level of the rock burst is comprehensively evaluated in combination with a danger probability result output by the rock burst prediction module; according to the method, the applicability and prediction precision of the model under different mining area conditions can be improved, and accurate prediction of the rock burst risk is realized.

The invention provides a field electrical prospecting data anomaly identification method based on big data analysis, and the method comprises the steps: collecting multi-source heterogeneous data to construct a digital twin model, and generating a virtual electrical prospecting data set in combination with geological physical law constraints; performing multi-device cooperative training through a federated learning framework to obtain a self-evolution anomaly detection model, deploying the model to an edge computing node to obtain an anomaly recognition result, and visually displaying the anomaly recognition result; and iteratively optimizing the geological digital twinning and anomaly detection model to obtain a field electrical prospecting data anomaly recognition result. Space-time synchronization is realized based on related technologies, a three-dimensional geological structure model is constructed in combination with a geological knowledge graph, and geological logic constraints are embedded; real geological scene features are injected through closed-loop feedback of a generative geological simulator and a federated learning framework, and an electrical method response mapping relation is corrected, so that the model adapts to geological structure changes; and mapping an anomaly recognition result to the three-dimensional geologic model for visual display, thereby solving the problem of low matching degree of a traditional method.

The invention discloses a geological static and mining disturbance dynamic factor coupling disaster-causing risk prediction method, and relates to the technical field of geological risk prediction methods. The method comprises the following steps of S01, geological static factor analysis, S02, mining disturbance dynamic factor analysis, S03, coupling disaster-causing risk prediction model construction, S04, risk assessment and early warning system development, S05, early warning mechanism establishment, S06, model verification and S07, risk management and decision support. The accuracy of geological disaster risk prediction is remarkably improved; according to the method, a comprehensive risk prediction model is constructed by quantifying the complexity of a geological structure, such as an area coefficient, a structural area loss coefficient and the like, and combining ground stress changes and underground water level changes caused by mining activities; the data-driven method can accurately predict the occurrence probability of geological disasters, provides more scientific decision support for mine safety management, and effectively reduces the occurrence risk of geological disasters.

The invention discloses a geological disaster monitoring system based on multi-modal data, and relates to the technical field of geological disaster monitoring, and the system comprises a crack analysis module which carries out the time-space correlation mining of the crack propagation rate of a monitoring region, and analyzes the nonlinear evolution characteristics and spatial differentiation rules of rock mass fracture; and the critical identification module is used for performing wavelet packet energy spectrum analysis on the inclination angle change rate of the geologic body, identifying a critical turning point of rigidity attenuation of the geologic structure in combination with a preset algorithm, judging whether the overall stability enters an instability acceleration stage or not, and performing multi-parameter collaborative detection, crack evolution cross validation and dynamic trend stability verification to obtain the stability of the geologic structure. The accuracy and reliability of geological structure rigidity attenuation critical turning point recognition are remarkably improved, a more accurate rigidity attenuation stage judgment basis is provided for an early warning module, and the capturing capacity of a multi-modal data geological disaster monitoring system for structure instability precursor is enhanced.

The invention discloses a slope settlement data processing method under an infiltration surface effect based on a water-soil coupling model, and relates to the technical field of civil engineering geomechanical analysis. And establishing a water-soil coupling numerical model containing a mutual coupling relationship between water flow permeation and soil deformation. According to the method, the multi-source monitoring data and the sudden change recognition algorithm are fused, so that the recognition precision and real-time performance of the sudden change point of the slope infiltration surface are improved. And a parameter adaptive correction mechanism is introduced, so that the model can dynamically adjust key parameters, and the adaptability to a complex geological environment and the prediction stability are enhanced. Meanwhile, a dynamic processing flow integrating data driving, model calculation and risk identification is constructed, intelligent linkage early warning of the side slope settlement risk is achieved, the landslide accident risk is effectively reduced, and the scientificity and safety of geological disaster monitoring are improved.

The invention relates to the technical field, in particular to a geothermal resource favorable area prediction method and system, and the method comprises the following steps: collecting electromagnetic and seismic wave data of a plurality of positions of a target area through a sensor based on regional position data, carrying out the correlation of the data and position information, and generating a geological exploration data set through the combination of data cleaning and standardization. According to the method, electromagnetic and seismic wave data of multiple positions are collected and associated with geographic position information, the practicability and reliability of the data are improved, the data quality is optimized in combination with data filtering, the accuracy of stratum structure prediction is improved, a three-dimensional geologic model is constructed and combined with actual drilling data, and the practicability and accuracy of the model are verified; the method improves the accuracy and credibility of model prediction, optimizes the precision and practicability of resource prediction by analyzing the correlation between a geologic structure and geothermal resources, provides scientific decision support for geothermal development, and supports the effective utilization of renewable energy sources and the realization of a sustainable development target.

The invention relates to the technical field of intelligent monitoring, in particular to a landslide mass displacement monitoring method and related products, and the method comprises the steps: dividing a landslide mass into a plurality of sub-regions; arranging a reference point in each sub-region; acquiring a displacement change characteristic parameter of the reference point, and judging whether the reference point has significant displacement or not; judging the deformation state of the landslide mass; integrating the displacement data of the plurality of reference points, and performing data fusion to obtain a comprehensive evaluation index of the landslide mass displacement; through zoning processing based on a geological structure, topographic features and a sliding direction, the landslide mass can be scientifically and reasonably zoned, pertinence and uniformity of reference point layout are ensured, and monitoring blind areas and unnecessary resource waste are avoided; and the layout positions and the number of the reference points are determined by adopting an optimization algorithm, so that the layout density and the construction maintenance cost are considered, and the economical efficiency and the practicability of the monitoring scheme are improved.

The invention relates to the technical field of slope monitoring, and discloses a slope partition anisotropy stability analysis method and device, and the method comprises the steps: obtaining the geological structure information of a slope; building a finite element model according to the geological structure information; carrying out partition anisotropy analysis on the slope rock-soil body based on a finite element model; constructing a partition anisotropy whole-process change analysis model under the dynamic load application; and carrying out coupling analysis processing on the whole-process change analysis model and the seepage field to obtain a slope stability analysis result. According to the method, the finite element analysis model is constructed for the slope, the whole-process change form of rock-soil body strength parameter partition anisotropy is analyzed in a graded load applying mode, the seepage field is coupled for slope stability analysis, and the mechanical behaviors of the slope under different working conditions can be simulated more accurately; and the difference response of rock-soil bodies in different areas in the slope under the stress effect is captured in time.

The invention belongs to the technical field of seismic structure models, and discloses a seismic structure model construction method and system, and the method comprises the steps: constructing a database; constructing a three-dimensional digital elevation model; constructing a three-dimensional geological structure model; constructing an earthquake three-dimensional earthquake structure model; constructing a three-dimensional P-wave velocity structure model; and analyzing a pregnancy and earthquake environment. The three-dimensional seismic geologic model of the Changning seismic region is constructed by taking the Changning seismic region in southern Sichuan as a modeling object and integrating superficial geology, landform (DEM), seismic fine positioning data and main fracture distribution, a deep seismic detection result, a two-dimensional seismic reflection profile, drilling data and the like, the spatial distribution and structure of the three-dimensional seismic geologic model are finely determined, and the three-dimensional seismic geologic model of the Changning seismic region is constructed. Analysis of deep and shallow tectonic deformation characteristics and tectonic styles has important guiding significance for discussing the earthquake-pregnancy environment and evaluating the earthquake risk of the deep and shallow tectonic deformation.

The invention relates to the technical field of geotechnical engineering, in particular to a bedding side slope stability judgment method and system, and the method comprises the following steps: scanning a target bedding side slope by using an ultrasonic sensor based on the position information of the bedding side slope, recording a three-dimensional geological structure image of the side slope, detecting the positions of cracks and cavities, and generating a bedding side slope structure image. According to the method, an ultrasonic sensor is used for scanning a slope, internal cracks and cavities are recognized, stability problems are found in the early stage, side slope rock and soil characteristics are recognized in combination with physical and chemical attribute measurement, a three-dimensional geologic model is constructed through terrain scanning, and interaction between soil particles and rocks in multiple scenes is simulated; according to the method, the behaviors of the slope under various natural and artificial conditions are analyzed, the instability behavior of the slope is identified, the influence of various factors on the stability of the slope is evaluated, the ability of taking precautionary measures for various risk factors is enhanced, and a decision maker is helped to make accurate maintenance and intervention decisions.

The invention discloses a three-dimensional geologic model modeling method and device. The three-dimensional geological model modeling method comprises the following steps: acquiring to-be-established geological region data and actual geological boundary data; generating an initial stratum interface grid according to the to-be-established geological region data; correcting the initial stratigraphic interface grid to obtain a corrected stratigraphic interface grid; carrying out geological rule constraint on the corrected stratigraphic interface grid so as to form simple three-dimensional stratigraphic interface model data; correcting the simple three-dimensional stratigraphic interface model data according to the seismic profile information so as to obtain a composite geologic structure model; generating a three-dimensional fault plane model according to the composite geologic structure model; and generating a composite geological structure model including a fault network according to the three-dimensional fault plane model and the composite geological structure model. Through the three-dimensional geological model modeling method, the deviation between the model and an actual geological boundary can be remarkably reduced.

The invention provides a three-dimensional seismic exploration analysis method, which comprises the following steps: S1, exploration design: determining a three-dimensional seismic exploration range and a target horizon, and designing an observation system; s2, acquiring data, including staking out in survey, exciting seismic waves and receiving seismic signals; s3, data processing: preprocessing the collected seismic data, removing noise and interference signals, and improving the signal-to-noise ratio, resolution and precision of the seismic data; and S4, geological interpretation: according to the processed seismic data, interpreting the geological structure and coal seam distribution of the coal mine area in combination with geological and geophysical prospecting data. According to the method, richer and more accurate underground geological information can be provided, the detection precision and reliability of coal mine underground geological structures and coal seam distribution are improved, noise and interference signals can be effectively removed, the signal-to-noise ratio and resolution of seismic data are improved, and the method is suitable for exploration and development of coal mines of different scales.

The invention relates to the technical field of geological disaster monitoring, and discloses a landslide dynamic simulation monitoring and early warning method based on multi-source sensing fusion, and the method comprises the steps: collecting multi-source data of a landslide body through a plurality of heterogeneous sensors, and enabling the multi-source data to be in space-time alignment after preprocessing; building a multi-parameter fusion model fusing a displacement field, a mechanical field and an environment field based on the preprocessed data, enabling the multi-parameter fusion model to output a deformation rate and a stability coefficient, and dynamically adjusting the weights of the displacement field, the mechanical field and the environment field according to a landslide evolution stage; predicting a future deformation trend of the landslide mass in combination with a geological structure and historical data, comparing a stability coefficient with a dynamic safety threshold to judge a risk level, and generating early warning information; and dynamically correcting a reference weight coefficient in the model based on the deviation between the monitoring data and the model output, so that the model is adaptively optimized. The problems of single monitoring dimension and static model solidification in the prior art are solved, and accurate and adaptive monitoring and early warning of the risk state of the landslide mass are realized.

The invention discloses a three-dimensional crustal stress field visualization construction method under a complex geological structure condition, and relates to the technical field of crustal stress field analysis. Comprising the following steps: in a to-be-analyzed area, obtaining characteristic data such as density and Poisson ratio of a surface rock-soil layer, a sedimentary layer, a parent material layer and a bedrock layer through well drilling; applying seismic waves, acquiring longitudinal wave and transverse wave speeds of each rock-soil layer by using a geophone, and calculating a shear modulus and a bulk modulus; and establishing a finite element model to analyze the strain tensor under the load, and calculating the stress tensor in combination with the modulus. Calculating pore water pressure, and correcting the stress tensor to obtain effective stress. Fault feature information is obtained through a geological report, and the stress tensor is further corrected to obtain accurate and effective stress. And constructing a three-dimensional geologic model and dividing grids, mapping accurate and effective stress to each grid unit, and completing visual construction of the crustal stress field by utilizing visual software. Safety and economic benefits are effectively improved, and risks caused by geological factors are reduced.

The invention discloses a post-stack seismic data denoising method based on multi-dip-angle structure guided filtering, and belongs to the field of seismic data denoising, and the method comprises the following steps: carrying out the processing of input seismic data through guided filtering, and obtaining a fault likelihood attribute; dividing the seismic data into a fault region and a continuous stratum region based on fault likelihood attributes; in the fault region, performing filtering processing on the seismic data by using an edge-preserving smoothing algorithm to obtain a filtering result of the fault region; in the continuous stratum area, calculating a local inclination angle of the seismic data, and performing filtering processing on the seismic data by adopting a structure guiding filtering algorithm which performs smoothing along the direction of the local inclination angle to obtain a filtering result of the continuous stratum area; and fusing the filtering result of the fault region and the filtering result of the continuous stratum region to obtain final de-noised seismic data. According to the method, efficient noise suppression can be performed on post-stack seismic data, and meanwhile, the protection capability on a complex geological structure is remarkably improved.

The invention relates to the technical field of mining, in particular to a mine disaster prediction method and system. The method comprises the following steps: acquiring geologic structure data corresponding to a mine, wherein the geologic structure data comprises rock stratum distribution, fault occurrence and underground water occurrence state; constructing a coupling model corresponding to the mine based on the rock stratum distribution, the fault occurrence and the underground water occurrence state, and determining a rock mass constitutive relation and coupling parameters in the coupling model; determining a prediction boundary condition of the coupling model based on the rock constitutive relation and the coupling parameters; and acquiring field monitoring data of the mine, correcting the coupling model based on the field monitoring data and the prediction boundary condition so as to determine a potential disaster point based on the corrected coupling model, and generating a risk early warning strategy and a risk recovery strategy corresponding to the potential disaster point. According to the embodiment of the invention, a full-chain prevention and control system from disaster prediction to emergency disposal is constructed, and the safety management level and disaster prevention and control capability of mine engineering are remarkably improved.

The invention provides a coal mine water inrush risk early warning method and system under multi-source information, and relates to the technical field of risk early warning, and the method comprises the steps: employing a multi-source information collection module to regularly collect geological structure data, hydrological data, microseismic signals and environment monitoring data in a coal mine operation area, and constructing a multi-source information database; performing data preprocessing to obtain a standard multi-source information database; carrying out multi-source data fusion, and constructing a water inrush risk comprehensive evaluation model in combination with a geological model, a hydrological model and a micro-seismic analysis model; analyzing the water inrush risk index in real time, and generating water inrush risk early warning information when the model output value is higher than a preset risk threshold value; and performing visual display of the water inrush risk early warning information through a visual interface. The technical problem that the prior art depends on a single data source and cannot comprehensively reflect complex condition changes in a coal mine operation area, so that accuracy of water inrush risk assessment is insufficient, and then early warning of the water inrush risk is missed is solved.

The embodiment of the invention discloses a landslide disaster evolution analysis method and system based on a coupling model, and the method comprises the steps: carrying out the multi-source data integration of geological structure monitoring data, landform distribution data and hydrological environment monitoring data of a target seismic region, and generating a comprehensive monitoring data set; based on the data set, establishing an interaction association relationship of the target equation set, and constructing a geology-landform-hydrology coupling model; performing dynamic simulation and quantitative evaluation on the instability probability and the landslide scale of the potential landslide mass by using the coupling model according to a preset scene parameter combination, and generating an image-text annotation quantitative evaluation report; and finally, carrying out vulnerability analysis and risk assessment on the disaster-bearing body based on the report, generating a comprehensive guidance report containing a disaster-bearing body vulnerability spatial distribution diagram, landslide risk prevention and control measure suggestions and a regional space planning optimization scheme, and providing a scientific basis for landslide disaster prevention and control and regional planning.

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 geological exploration, and discloses a deep difficult-to-skew multilayer geological structure drilling strategy self-adaptive adjustment method, which comprises the following steps of: acquiring multi-source information by using a multi-source data fusion analysis module, and generating a geological structure model through satellite remote sensing data, unmanned aerial vehicle aerial photography data and seismic wave detection data multi-source information; formulating a preliminary drilling strategy according to the geological structure model; a machine learning algorithm is introduced, a drilling strategy is optimized, and the adaptability and accuracy of the strategy are improved; through multi-source data fusion analysis, geologic structure features can be more comprehensively known, a scientific basis is provided for formulation of a drilling strategy, the drilling strategy is optimized through machine learning, drilling parameters can be dynamically adjusted according to real-time monitoring data, the adaptability and accuracy of the drilling strategy are improved, the drilling risk and cost are reduced, and the drilling efficiency is improved. The real-time monitoring and adjusting system can find potential problems and risks in the drilling process in time, and drilling accidents are avoided or reduced.

The invention provides a three-dimensional visualization expression method for a multi-scale geological structure model, including: collecting geological exploration data which includes geophysical information, drilling information, outcrop survey information, seismic information and geological age data; performing interpolation simulation on the geological exploration data to obtain an exploration sample set; preprocessing the exploration sample set to obtain preprocessed data, the preprocessing process including data cleaning, format unification and noise removal; constructing a multi-scale geological structure model according to the preprocessed data based on a three-dimensional modeling technology; performing scale decomposition on the geological structure model using a multi-scale analysis method to form model representations at different scale levels; and converting the model representations into 3D visualization images using a 3D graphics processing technology. The invention can effectively improve the expression ability of geological model and user experience, and has important practical application value for geological exploration and resource assessment.