73 results about "Geological analysis" patented technology

The invention belongs to the technical field of geological analysis, and discloses a ground subsidence analysis method and device, and the method comprises the steps: matching a sensor layout strategy corresponding to a foundation subsidence risk and meteorological data of a monitoring region; acquiring land subsidence data of the monitoring area according to a sensor; performing time-frequency analysis on the land subsidence data to obtain a geoacoustic spectrogram corresponding to the land subsidence data; inputting the geoacoustic spectrogram into a preset neural network, and outputting a settlement semantic vector corresponding to the geoacoustic spectrogram; acquiring and analyzing historical land subsidence data, and constructing a subsidence rule corresponding to the historical land subsidence data; and inputting the settlement semantic vector and the settlement rule into a preset space-time analysis model, and predicting to obtain a future settlement trend of the monitored area. By using the method disclosed by the invention, the problem that all risks in a certain area cannot be checked when geological data is monitored based on local monitoring points can be solved, and the problem that the geological risk analysis efficiency is relatively low can be solved.

This invention provides a method for characterizing sedimentary microfacies distribution based on comprehensive geological and seismic analysis. By studying the sedimentary environment and surrounding tectonic background of the entire block, this invention calculates the cumulative percentage of channel and shoal body types based on sedimentary microfacies and grain size analysis. Based on a comprehensive analysis of the lithofacies of drill cores and corresponding well logging curves and seismic response characteristics, it establishes a comprehensive response model of the main sedimentary facies-well logging facies of the target stratigraphic group in the study area. Furthermore, based on the fusion of seismic attributes, it characterizes sand bodies in seismic profiles. By integrating the sand body characterization results, the comprehensive response model of sedimentary facies-well logging facies, and the sedimentary microfacies types, a method for characterizing sedimentary microfacies distribution in tight sandstone reservoirs using comprehensive seismic and geological analysis is established.

This invention relates to the field of geophysical exploration and oil and gas geological analysis technology, and discloses a method for predicting fractured reservoirs in carbonate buried hills based on geological guidance and multi-scale fusion. The method includes: constructing a three-dimensional geological guidance constraint body using paleogeography and fault systems as geological priors; characterizing the fracture response mechanism using Gabor wavelet frequency division and structural tensor; constructing sensitive attributes and predicting the fracture body using a multi-branch convolutional neural network that fuses multi-source seismic attributes; and calculating the fracture complexity index based on the predicted fracture body to classify and zone the buried hill fractures. This invention introduces geological guidance constraints to improve the geological consistency of the prediction results; utilizes multi-scale Gabor frequency division and structural tensor analysis to achieve multi-scale fracture characterization; enhances model interpretability and prediction accuracy by fusing multi-source attributes through a multi-branch convolutional neural network; and achieves quantitative reservoir classification through the fracture complexity index, effectively guiding well location deployment and drilling decisions.

The invention provides an underground cavern group geological analysis method based on a TGS technology and a CT technology, and the method comprises the steps: scanning the geological conditions of an underground cavern group in the horizontal direction through the TGS technology, and obtaining first geological data in the horizontal direction; forecasting the geological conditions of the underground cavern group in the vertical direction through a CT technology to obtain second geological data in the vertical direction; fusing the first geological data and the second geological data to generate a three-dimensional geological model; based on the three-dimensional geologic model, identifying the position and the distribution range of unfavorable geologic bodies in the underground cavern group, and analyzing the geological characteristics of the surrounding rock to obtain an analysis result; according to the analysis result, the spatial distribution information of the unfavorable geologic body and the corresponding geological phenomenon description are output, the misjudgment risk caused by data discontinuity of a traditional method is overcome, and the recognition capacity for complex geological phenomena such as inclined strata and cross fractures is improved.

The application discloses a kind of based on microseismic crack face construction and seepage evaluation method, belong to geological analysis technical field.Use hydraulic fracturing to the detection area, the microseismic source position identification generated by rock mass rupture;Determine the best fitting crack plane from the clustered microseismic source position, extract the spatial orientation information of hydraulic fracturing induced crack;Reconstruct the spatial distribution range of hydraulic fracturing induced crack in the plane, obtain the induced crack geometry of limited scale;Discretize the geometry of induced crack face, construct a simplified hydraulic fracture plane at the perforation location and discretize, form the crack geometry set containing induced crack and hydraulic fracture;Embed the crack geometry set containing induced crack and hydraulic fracture into the rock geometry model, carry out reservoir seepage simulation under real working conditions, quantitative evaluation.It is simple in steps, convenient to use, and has good imaging effect.

The invention relates to the technical field of detonation control, in particular to an electronic detonator network synchronous detonation control system and method based on topological optimization. The method comprises the steps that information of a to-be-blasted area where electronic detonator network topological nodes are located is collected, and inter-hole delay of the to-be-blasted area and the optimal explosive loading amount of blast holes are determined based on blasting vibration prior data; geological analysis calculation is conducted on the geological parameter data to obtain a stability index of the to-be-blasted area, and an explosion performance index is obtained through calculation based on the optimal explosive loading amount of the blast hole and the initial explosion source depth of the to-be-blasted area; whether the number of topological nodes of the to-be-blasted area is adjusted or not is judged based on the explosion performance index and the stability index, so that a detonation control scheme is generated; and the detonation control scheme is executed to execute synchronous detonation control of the electronic detonator, the detonation effect can be optimized, the synchronous detonation accuracy of the electronic detonator can be improved, it is ensured that the detonation effect meets the expectation, and meanwhile construction safety is guaranteed.

This invention relates to the field of tunnel construction technology, and more particularly to a system and method for dynamically optimizing tunnel construction parameters based on geological information from point cloud data. At multiple monitoring time points, point cloud data is collected from the tunnel segment to be constructed, obtaining multiple point cloud datasets. The tunnel segment is divided into multiple construction areas, and multiple regional point cloud datasets are obtained from these datasets. Point cloud change analysis is performed on each regional dataset to obtain multiple point cloud change rates. Based on these regional point cloud datasets, reflection intensity analysis is conducted to obtain multiple reflection intensity coefficients. Combined with the multiple point cloud change rates, geological analysis is performed to obtain the distribution of concealed geological information. Based on this distribution, tunnel construction parameters are dynamically optimized to obtain optimized tunnel construction parameters for tunnel construction. This achieves the technical effect of improving the efficiency and safety of tunnel construction while reducing construction risks and costs.

The invention belongs to the technical field of foundation pit engineering construction monitoring, and provides a model training method and a rock slag feature extraction method and device for solving the problems that rock slag feature extraction precision is low and rock slag color features are not considered. According to the method, based on a YOLO11n-seg improved model fusing MSFEM and a TripleGD-Neck mechanism, through multi-scale space-frequency feature joint enhancement and cross-layer information interaction, the segmentation precision of rock slag particles is improved, and automatic and high-precision analysis of particle size distribution is realized. According to the method, a rock slag area is extracted by using a mask obtained after segmentation of a YOLO11n-seg improved model, geometric particle size parameters of the rock slag are calculated, and color features of the rock slag are obtained, so that richer surrounding rock information is provided, and powerful data support can be provided for further geological analysis.

The invention relates to the technical field of three-dimensional modeling, in particular to a VTK-based three-dimensional geological section model generation method, system and device and a medium. The method comprises the following steps: firstly, acquiring original drilling data, performing nested storage according to the position of the original drilling data on an exploration line, and performing cleaning and multi-dimensional sorting to obtain structured drilling data; extracting ore bed boundary points from the structured data, constructing a local adjacency graph, and calculating a comprehensive regularity score of each quadrilateral patch in the local adjacency graph based on regularity quantitative indexes; setting a threshold value, if the comprehensive regularity score is lower than the threshold value, adopting vtkQuad for modeling, otherwise, adopting vtkTriangle for modeling, and generating primitive data; performing topology check on the primitive data, storing the primitive data into vtkCell Array, converting polygonal primitives into triangular primitives, and smoothing the triangular primitives to generate a three-dimensional geological section model; performing visualization and rendering processing to obtain a final three-dimensional geological section model; according to the invention, accurate data visualization support is provided for geological analysis, and the intelligent and precise level of geological work is improved.

This invention provides a method and system for automatic vertex picking of DAS-based microseismic events, relating to the field of microseismic location technology. The method includes acquiring multi-channel data corresponding to microseismic events and performing demodulation analysis to form multi-channel waveform data; performing correlation analysis on the waveform data from different channels to establish an automatic picking correlation model; performing image transformation based on the automatic picking correlation model to form corresponding grayscale images; and performing location discrimination analysis based on the grayscale images to determine the event vertex channel. This method improves the interpretation accuracy and reliability of geological analysis of seismic images by removing noise while preserving geological structural features such as faults and strata.

This invention relates to the field of petroleum exploration and development technology, and discloses a method and device for high-precision identification of low-order faults in tight sandstone channels. The invention first simulates the river channel based on geological analysis results of the study area, integrating the simulated channel into a horizontal reflectivity model. Then, based on this, fault and fold simulations are performed according to the geological analysis results. Finally, the reflectivity model is convolved with Ricker wavelets to generate a 3D seismic data volume through forward modeling. An improved Unet network model is constructed, and the network model is trained using the 3D seismic data volume obtained through forward modeling. After training, the 3D seismic data volume to be predicted is fed into the trained model to achieve automatic identification of low-order faults in tight sandstone channels. This invention, through deep learning algorithms, fully explores the potential features of seismic data, greatly improving the identification capability of low-order faults and effectively distinguishing lithological boundaries and fault boundaries, thus improving the accuracy of geological interpretation.

The invention discloses a complex tectonic zone shale oil and gas favorable area evaluation method, system and equipment and a storage medium, and the method comprises the following steps: carrying out the stratum distribution and deposition characteristic analysis, hydrocarbon source potential analysis, reservoir characteristic analysis, oil-gas possibility and control factor analysis of a target area according to obtained environment data, so as to obtain an analysis result; comprehensive evaluation of the favorable area: determining a calculation block in the target area and an influence factor corresponding to the calculation block, assigning a value to the influence factor and endowing a weight coefficient to the influence factor according to a preset condition, obtaining a score of the calculation block, and determining the favorable area according to score sorting. According to the method, the analysis result is more universal and covers various different parameters in geological analysis, so that the accuracy, scientificity and accuracy of the subsequent favorable area evaluation process are improved, and reference is provided for the subsequent geological survey process.

This invention relates to the fields of structural geology and geophysical research, and particularly to a seismic geological analysis method, apparatus, electronic equipment, storage medium, and computer program product for salt structures in low signal-to-noise ratio areas. The method includes: identifying target areas with gypsum-salt structures in low signal-to-noise ratio areas based on the sedimentary background of gypsum-salt development and regional dynamic conditions; acquiring seismic profiles and seismic reflection information of the target areas based on geophysical data; obtaining outcrop information of the surfaces traversed by the seismic profile through field measurements; and performing seismic geological analysis of salt structures in the target areas based on the outcrop information and seismic reflection information. This invention facilitates related work in areas with poor seismic data quality and low signal-to-noise ratios, effectively improving the reliability, accuracy, and scientific rigor of (gypsum)-salt structure interpretation. Its effective application in the western basin has shown a high degree of agreement between predicted results and actual drilling findings.

The embodiment of the present application discloses a kind of prediction reserve upgrade evaluation method and device based on exploratory well test oil production prediction.Therein, the prediction reserve upgrade evaluation method based on exploratory well test oil production prediction includes: determining the reservoir type in the block to be evaluated prediction reserve based on the obtained data;Collect the exploration data of the determined reservoir type;Based on the exploration data, establish the exploratory well test oil production prediction model corresponding to the reservoir type;Determine the plane distribution of parameters in the prediction model;Based on the plane distribution and prediction model, determine the upgrade prediction reserve range;Based on the upgrade prediction reserve range, obtain the reserve scale in the upgrade range.Using the exploratory well data of the same or similar reservoir type as the block to be evaluated prediction reserve, effectively solve the problem of lack of exploration data in the block to be evaluated reserve, achieve the purpose of quantitative prediction of exploratory well test oil production, avoid single reliance on geological analysis to evaluate the upgradability of prediction reserve.

The invention relates to the technical field of geological analysis, in particular to a paleo-water depth and hydrodynamic condition quantitative reconstruction method based on a marginal and microstructure of marginal and microstructure of marginal and microstructure of marginal and microstructure of marginal and microstructure of marginal and microstructure of marginal and microstructure of marginal and microstructure of marginal and microstructure of marginal and microstructure of marginal and microstructure of marginal and microstructure of marginal and microstructure of marginal and microstructure of marginal and microstructure of marginal and microstructure of marginal and microstructure. The system extracts structural parameters such as the thickness of the lamina, the shape fluctuation degree, the lateral extension continuity and the related microstructures of the microbial mat. And by inputting actual laminated stone structure parameters into the model, synchronous calculation and output of paleo-water depth values and hydrodynamic condition grades are realized. According to the method, a traditional paleo-water depth recovery method depending on a single substitute index is broken through, high-precision, repeatable and comparable quantitative reconstruction of the water depth and hydrodynamic conditions of the shallow sea sedimentary environment in the Shiwujian is achieved, and a reliable technical means is provided for research on early life activity environments and sedimentary dynamics.

The present application belongs to the technical field of mineral exploration and geological analysis, and discloses a rapid discrimination method for the genesis of gray sandstone in red beds based on big data and application, wherein the rapid discrimination method collects macro-geological data including lithology, color, structure and spatial distribution and geochemical data including carbon isotope (delta 13C) value, and inputs the data into a big data exploration database; a macro-preliminary judgment is made according to the macro-geological data; quantitative verification is made based on the carbon isotope; the macro-preliminary judgment and the quantitative verification result are integrated for comprehensive judgment to form a standardized process; the relative size of delta 13C is taken as a core quantitative criterion to realize rapid and accurate identification of the sedimentary origin and the epigenetic reduction origin. The discrimination result is directly applied to the delineation of sandstone-type uranium mine target area, ore body prediction and exploration deployment, solves the defects of subjectivity and low efficiency of the traditional method, significantly improves the accuracy and efficiency of uranium exploration, and provides technical support for ore prospecting breakthrough.

This utility model discloses a novel geological exploration drilling device, relating to the field of geological exploration technology. It includes a base with self-locking casters on all four sides of its bottom. A fixing plate is fixedly connected to all four sides of the base's bottom, and each fixing plate has a threaded hole through which a fixing screw is threaded. A handle is fixedly connected to the top of each fixing screw, and the bottom of each fixing screw is conical. A first motor drives a reciprocating screw to rotate, which, combined with a limiting rod, restricts the rotation of the connecting plate, allowing the connecting plate to move precisely up and down axially. Simultaneously, a second motor on the connecting plate drives the drill bit to rotate at high speed. This combination achieves precise control of drilling depth and speed, helping to obtain more accurate geological samples, improving the accuracy of geological exploration, and providing a reliable basis for subsequent geological analysis.

The application relates to a hydrogeological structure analysis method based on multi-source data fusion and three-dimensional modeling, and belongs to the technical field of hydrogeological analysis. The method comprises the following steps: obtaining multi-source data of a hydrogeological structure and performing preprocessing to obtain standardized multi-source data of the hydrogeological structure; integrating the standardized multi-source data of the hydrogeological structure to obtain key multi-source data of the hydrogeological structure; the key multi-source data of the hydrogeological structure comprises special geological body spatial distribution data, underground facility-stratum spatial relationship data and stratum-structure three-dimensional framework data; an initial three-dimensional geological model is constructed based on the key multi-source data of the hydrogeological structure, and the initial three-dimensional geological model is dynamically updated to obtain a dynamic three-dimensional geological model; a representation method of the dynamic three-dimensional geological model is optimized to obtain a high-precision three-dimensional model; and mechanism analysis and correlation mining are carried out based on the high-precision three-dimensional model. The application can improve the accuracy of hydrogeological structure analysis.

The application discloses a kind of geotechnical investigation method and processing system based on variable frequency high-density electrical method, it is related to geotechnical investigation technical field, including the following steps: a series of electrodes are laid on the surface of the area to be investigated, to form high-density electrode array, electrode array layout interval is dynamically adjusted according to the geological characteristics of the area to be investigated and the required resolution, the coverage of current injection and potential measurement is optimized;Different frequency currents are applied to the underground rock strata by the electrode array.The application optimizes current injection and measurement by high-density electrode array and dynamically adjusting electrode spacing, significantly improves the accuracy of investigation, uses multi-frequency current to detect different depth rock strata, enhances electrical contrast, effectively identifies geological anomaly body, generates high-resolution resistivity image in combination with high-precision measuring equipment and advanced data processing algorithm, improves the accuracy of geological analysis, provides scientific basis for engineering design, reduces construction risk.

The utility model relates to the technical field of angle measurement, and discloses an inclination angle measuring device for geological survey, which comprises a storage box I. A storage assembly is arranged on the outer wall of the storage box I. A fixing assembly is arranged on the inner wall of the storage box I. The fixing assembly comprises a clamping plate I. The clamping plate I is arranged on the inner wall of the storage box I. A rotating column is rotatably connected to the lower side in the first storage box, torsion springs are arranged at the two ends of the rotating column, a rotating rod is fixedly connected to the outer wall of the rotating column, a threaded rod is rotatably connected to the inner wall of the rotating rod, a second clamping plate is fixedly connected to the top end of the rotating rod, and a guide column is slidably connected to the inner wall of the first clamping plate. One end of the threaded rod is fixedly connected with a hand wheel; the storage assembly comprises a second storage box, and the second storage box is arranged on the outer wall of the first storage box. According to the utility model, the purpose of improving the accuracy of measured data is achieved, reliable data support is provided for geological investigation, and the accuracy of subsequent geological analysis and research is facilitated.

The invention relates to a three-dimensional investigation method for a low-amplitude brittle deformation landslide area. The three-dimensional investigation method comprises the steps of multi-stage data acquisition, point cloud data preprocessing, three-dimensional model construction, deformation quantitative analysis, mineral composition auxiliary verification and landslide disaster risk assessment and early warning. According to the scheme provided by the invention, an unmanned aerial vehicle laser radar system carrying RTK positioning is adopted, an improved progressive encryption triangulation network filtering algorithm and a multi-period data registration technology are combined, a high-resolution three-dimensional model is constructed, and short-period dynamic monitoring of mountain geological disasters is realized; through analysis of a high-resolution three-dimensional model and a digital elevation difference model, low-amplitude brittle deformation characteristics are captured, topographic deformation data and geological analysis are fused, topographic evolution characteristics and a physical and chemical mechanism of deformation instability are analyzed, and deformation quantification and mechanism analysis of a geological disaster area in a mountainous area are realized. And technical support is provided for short-period dynamic monitoring and risk assessment of geological disasters in mountainous areas.

The embodiment of the invention relates to the field of electric digital data processing, in particular to a method for identifying a data stable section in a shield tunneling process. The method for identifying the data stable section in the shield tunneling process provided by the embodiment of the invention comprises the following steps: S10: acquiring data in the shield tunneling process; s20, determining effective cycle data of a tunneling cycle in the data; s30, propulsive force and cutterhead torque in the effective circulation data are determined; s40, determining an initial data stable section according to the propulsive force and the cutterhead torque; and S50, eliminating abnormal values of the initial data stable segment, carrying out trend fitting, and determining a final data stable segment. By determining the propulsive force and cutterhead torque data in effective circulation of shield tunneling, the data stable section is jointly determined by various parameters, abnormal values in the data stable section are removed, the recognition precision of the data stable section is improved, and a high-quality data basis can be provided for subsequent construction evaluation or geological analysis.

The invention discloses a uranium mineralization zone identification method and system based on multi-source remote sensing data fusion, and relates to the technical field of geological exploration, and the method comprises a multi-source data obtaining module which obtains multi-platform and multi-band remote sensing data, and the remote sensing data comprises optical remote sensing data, microwave remote sensing data and auxiliary data; constructing a uranium ore zone feature database based on the remote sensing data; the data preprocessing module is used for carrying out noise elimination, atmospheric interference removal and geometric distortion correction on the remote sensing data; the feature extraction and fusion module is used for extracting uranium mineralization zone sensitive features from the preprocessed multi-source data and carrying out cross-modal fusion, and the cross-modal fusion comprises feature layer fusion and decision-making layer fusion; an anomaly detection and geological analysis module; a result output and verification module; according to the method, all-weather, total-factor and non-blind-area coverage of a complex terrain area can be achieved, the exploration range is not limited to roads and gentle zones any more, and the coverage rate of a potential metallogenic zone is increased.

The application provides a quantitative analysis method for ore pore and fissure structure, and relates to the technical fields of mineral processing, metallurgical engineering and geological analysis. The method realizes accurate prediction of effective porosity of heap leaching ore by coupling on-site particle size investigation, laboratory "quasi on-site" heap construction, ore block fissure microscopic measurement and mass-volume conservation calculation. The method effectively overcomes the technical problems that the traditional method depends on single scale measurement, and is difficult to comprehensively reflect the complex structure from nanoscale pore to centimeter scale fissure, especially for the mixed ore of coarse and fine particle grades. The existing technology often processes different particle grades respectively, lacks systematic integration and mutual correction, and causes deviation of the calculation results of porosity and fissure rate.

A three-dimensional geological modeling horizontal exploration system, belonging to the field of three-dimensional modeling technology, addresses the problem that traditional methods struggle to accurately represent subtle morphological changes in ore bodies, affecting the precise assessment of mineral resource reserves. This invention employs an improved mesh generation algorithm, adaptively adjusting the mesh based on the physical properties of the geological body, significantly enhancing the model's ability to express complex geological structures. Attribute assignment units precisely connect and integrate data with mesh units, endowing them with realistic physical attributes, making the model more realistic. Dynamic update units, utilizing time series analysis, incorporate the time dimension to update the model in real time, reflecting geological dynamics and solving the problem of traditional update lag. Geological analysis units utilize various methods to output quantitative data on volume, strike, dip angle, and resource distribution predictions for geological research, aiding in in-depth analysis of geological conditions and overcoming the limitations of traditional single-function analysis.

The invention provides a quantitative analysis method for pore and fracture structures of ores, and relates to the technical field of mineral processing, metallurgical engineering and geological analysis. According to the method, accurate prediction of the effective porosity of the dump leaching ore is achieved by coupling on-site particle size investigation, laboratory'quasi-on-site 'pile body construction, ore block fracture microscopic measurement and mass-volume conservation calculation. The method effectively overcomes the defects that traditional methods mostly depend on single-scale measurement, complex structures from nano-scale pores to centimeter-scale cracks are difficult to comprehensively reflect, especially for ores with mixed coarse and fine particle fractions, different particle fractions are often treated in the prior art, system integration and mutual correction are lacked, and the measurement accuracy is poor. And the calculation results of the porosity and the fracture rate are deviated.

The invention discloses a tunnel unmanned water detection method and system based on transient electromagnetic detection data, and relates to the field of tunnel water detection, initial depth geological parameter marking is carried out on a signal curve based on a landmark curve segment comparison library, and real geological parameters are obtained and marked through verification such as drilling coring, geological radar and sound wave detection; forming a reference data group with a real label; constructing an analysis reference data set through curve clustering, key difference feature extraction and a retrieval structure, and establishing a geological analysis model; the model is used for automatically explaining real-time collected signals, a three-dimensional real-time geological representation model in front of a tunnel face is constructed in combination with a spatial interpolation algorithm, and accurate recognition and connectivity evaluation of a water-rich abnormal area are achieved. According to the invention, completely unmanned and flexible acquisition in the water exploration process is realized, the precision, real-time performance and safety are remarkably improved through data-driven objective analysis, and the risk of water and mud bursting in the tunnel is effectively reduced.

The invention discloses an EBSD data fusion processing method in geological structure deformation analysis, and relates to the technical field of geological exploration, and the method comprises the steps: collecting EBSD data, geophysical data, geological mapping data and paleo-temperature data of a target region, carrying out the spatial registration and grid processing, and generating a multi-channel data body; the method comprises the steps of processing EBSD data in a multi-channel data volume, calculating microscopic parameters, generating a multi-dimensional data cube, identifying dynamic recrystallization particles and counting particle size distribution based on the EBSD data in the multi-dimensional data cube, and generating a paleo-strain rate field through inversion of a Zener-Hollomon parameter equation by combining paleo-temperature data. According to the method, the tectonic fracture development probability three-dimensional body graph is generated through the elastic-plastic damage mechanical model and is comprehensively compared with original data to complete a geological analysis report, multi-scale and multi-physical-field data fusion and tectonic deformation quantitative analysis from microcosmic to macroscopic are achieved, and the precision and reliability of geological structure analysis are remarkably improved.

This disclosure relates to the field of seismic exploration technology, and in particular to a method, apparatus, equipment, and readable storage medium for analyzing strike-slip faults in gypsum-salt layers. The method includes obtaining first information; determining the correspondence of vertical fault displacement values ​​based on the first information; obtaining second information based on 3D seismic data of a second region, and determining the vertical fault displacement value of a second rigid stratum based on the second information; and determining the vertical fault displacement value of the second gypsum-salt layer based on the vertical fault displacement value of the second rigid stratum and its correspondence. This disclosure overcomes the technical difficulties of analyzing and evaluating salt structures associated with deep strike-slip faults, and the inability to evaluate the development patterns of gypsum-salt layers at different fault locations. Based on the theoretical foundation of gypsum-salt rheology and the segmentation of strike-slip faults, and on the basis of detailed seismic-geological analysis, it clarifies the segmented structure and kinematic characteristics of strike-slip faults, and on this basis, precisely characterizes the segmented geological model of strike-slip faults in gypsum-salt layers.

This invention discloses a machine learning-based intelligent ore mining control method and system, belonging to the field of intelligent control technology in the mining industry. The method includes: constructing a geological model of the mining area; inputting the geological feature map of the ore body into the geological model for feature extraction, stability assessment, and comprehensive analysis to generate a geological analysis report; using a Bayesian update method, probabilistically fusing the geological feature map of the ore body and the geological analysis report to obtain a geomechanical map; combining the geomechanical map with real-time monitoring data of the mining area to analyze ore mining risk factors and dynamically adjust the ore mining strategy to generate optimized ore mining instructions. This invention helps improve the ability to finely characterize ore body stability, fracture-sensitive areas, and groundwater-affected areas, and enhances the spatial resolution, risk identification accuracy, and instruction generation targeting of the entire mining control process.