149 results about "Outcrop" patented technology

A method of modeling interactive intelligent three-dimensional implicit structure based on deep learning is provided, including: generating a plurality of geological simulation structural models by using a data simulation technology, to construct a geological simulation structural model library, where the geological simulation structural model has a diversified fold and a fault feature; acquiring, for each, model, geological fault data and unevenly distributed geological horizon data to obtain a training sample data set; training a neural network by using the training sample data set; inputting multi-source heterogeneous data of a target region into a trained neural network, so as to output a geological structural model corresponding to the multi-source heterogeneous data, where the multi-source heterogeneous data includes fault interpretation data and horizon interpretation data, and the multi-source heterogeneous data includes at least one selected from: geological outcrop observation data, well logging data, various geophysical data or empirical knowledge data.

The invention provides an automatic identification method and system for a linear structural plane in a complex rock mass outcrop, and belongs to the field of rock mass engineering, and the method comprises the steps: obtaining a DeepLabV3 + model of a rock mass outcrop image, carrying out the semantic segmentation of an input image, outputting a binary mask image of the trace pixel of the structural plane, and carrying out the topology reconstruction; establishing a mapping relation between the image coordinate system and the three-dimensional point cloud; calculating a space included angle between the direction vector of the trace and the average occurrence of the structural plane groups, classifying the three-dimensional point cloud data according to the structural plane groups according to an angle threshold value, and performing three-dimensional line segment extraction by adopting an improved iterative Hough transform algorithm; and realizing global multi-segment connection and trace length calculation of discrete segments based on a greedy algorithm. The method breaks through the limitation of a topographic region when the rock mass structural plane data is obtained through manual measurement, and improves the precision and efficiency of structural plane extraction in the complex rock mass.

The invention belongs to the technical field of data acquisition, and provides an underground pipeline detection data acquisition method and system, and the method comprises the following steps: collecting underground pipeline drawing data of a target region, and determining the information parameters of underground pipelines; performing field exploration, marking a ground outcrop point of the underground pipeline, and preliminarily judging the trend of the pipeline; detecting the underground pipeline through an electromagnetic method or a ground penetrating radar, and determining the position and the burial depth of the underground pipeline; reflected and scattered sound wave signals propagated through the internal fluid of the underground pipeline are collected through sound wave detection, and the state of the internal fluid is evaluated; fusing different detection data to generate an underground pipeline space model; by comprehensively using the electromagnetic method, the ground penetrating radar and the sound wave detection technology, the position, the burial depth and the internal fluid state information of the underground pipeline can be comprehensively collected, the physical position of the pipeline is determined, the state of the internal fluid of the pipeline is evaluated, and the accuracy and the reliability of the detection result are effectively improved.

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.

The invention discloses a structural plane network sequence modeling method and system suitable for layered rock mass, and relates to the technical field of rock mass engineering, and the method comprises the steps: obtaining layered rock mass outcrop data as basic data, and obtaining basic data interpretation representation after processing; determining a rock mass outcrop homogeneous region division result according to the type attribute of the basic data; according to the interpreted occurrence data in combination with a rock mass outcrop homogeneous region division result, correcting the occurrence data in each homogeneous region by using a weighting function, and grouping the structural surfaces by using a K-mean particle swarm algorithm to obtain grouped structural surfaces; determining the density of the distribution space of each group of structural surfaces according to the spacing, occurrence, size and survey line trend data of each group of structural surfaces; determining the position and size of a layer in the layer structure space according to the determined distribution position of the structural surface; and randomly combining parameters of each group of structural surfaces, and constructing a stratified rock mass structure spatial network model in combination with sequence modeling and Monte Carlo simulation methods.

The invention discloses a geological multi-scale data hierarchical retrieval method and electronic equipment, and belongs to the technical field of geological data management and retrieval, and the geological multi-scale data hierarchical retrieval method comprises the following steps: S1, constructing a multi-scale data system, namely a three-level data structure system of a digital outcrop model, a rock specimen and a rock sample; s2, establishing an association mechanism among the three-level data structure systems, digital outcrop model-rock specimen association and rock specimen-rock sample association are carried out; and S3, performing multi-scale data hierarchy retrieval by adopting bidirectional association retrieval and feature retrieval. The digital outcrop-rock sample-rock sample association retrieval method has the advantages that the digital outcrop-rock sample-rock sample association retrieval efficiency is improved, the multi-dimensional retrieval capability is achieved, multi-class feature combination query, lithology + era + components and the like are supported, and seamless connection of macroscopic-mesoscopic-microscopic data can be realized; a bidirectional traceable chain is established, and data traceability is complete.

The invention discloses an altered rock mass engineering geologic feature rapid identification method, and belongs to the technical field of engineering rock mass identification. Comprising the steps of obtaining topographic data of a rock mass feature region to be recognized, obtaining an earth surface plane model by fitting the topographic data, and generating a three-dimensional route based on the obtained earth surface plane model; controlling the unmanned aerial vehicle to fly close to the surface of the rock mass through the three-dimensional route, and shooting an image according to a preset position; performing data preprocessing on the shot image, performing image segmentation on the preprocessed image, and constructing a structural plane occurrence data set; and performing data processing based on the structural plane occurrence data set, and obtaining a rock mass feature recognition result through an FCM-WOA algorithm of structural plane occurrence automatic clustering and grouping. According to the method, the normal vector robust estimation method is optimized to improve the region growth efficiency and accuracy of the rock mass structural plane, the region growth algorithm is improved to optimize the initial structural plane recognition result, and the rock mass structural plane is quickly and accurately recognized from mass point cloud data of the rock mass outcrop.

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

The invention relates to the technical field of ore body delineation, and provides a method for delineating an ore body by using drill holes, which comprises the following steps: S1, determining the overall trend of the ore body according to ore body outcrop, geological analysis or mountain engineering; s2, determining the direction of an exploration line according to the overall trend of the ore body; s3, according to the direction of the exploration line, exploration projects such as exploration grooves, shallow wells and drill holes are arranged on the exploration line; s4, in the shallow part, according to the mining conditions of the exploring groove, the shallow well, the drilled hole and the like, the mining conditions are directly reflected on the exploring line profile map after logging; s5, normally connecting the ore body between the mine-seeing drill holes in the deep part according to the natural type, the industrial grade and the like of the ore; and S6, delineating the ore body according to the ore entering point and the ore exiting point of each drill hole on the exploration line profile map. According to the method, the authenticity of ore data can be improved through cautious processing, so that ore body delineation is more accurate and closer to the real state.

The invention provides a system and method for geological survey recording and automatic mapping and a medium, and relates to the technical field of geological survey, and the system comprises one or more of a field outcrop system and a drilling core system; the field outcrop system is used for recording field outcrop data and automatically generating a field outcrop histogram according to the field outcrop data; the well drilling core system is used for recording well drilling core data and automatically generating a well drilling core histogram according to the well drilling core data. Thus, the system can be applied to mobile electronic equipment, geological survey recording can be efficiently and timely carried out, the problem of incomplete data description caused by forgetting and omission is solved, the system can automatically generate a field outcrop histogram and a drilling core histogram, the convenience and efficiency of histogram drawing are improved, and the system is suitable for popularization and application. The use experience of geologists is improved, and the geological description is more accurate.

The invention provides a structural surface identification method based on rock mass outcrop point cloud data, and relates to the technical field of rock mass engineering, and the method comprises the steps: obtaining the rock mass outcrop point cloud data, carrying out the partitioning of the rock mass outcrop point cloud data based on an octree principle, obtaining points in each partition, traversing the points in each partition, and carrying out the recognition of the structural surface of the rock mass outcrop point cloud data. The method comprises the steps of obtaining a normal vector of each point based on principal component analysis, determining a clustering center of the normal vectors based on kernel density estimation, classifying the normal vectors of the points to clustering centers based on the clustering centers of the normal vectors by adopting a fuzzy C mean value method, and obtaining point cloud data forming each group of structural surfaces by representing each group of structural surfaces. Secondary clustering is carried out on the point cloud data of the structural plane based on the spatial density algorithm, the boundary of the structural plane is recognized, the problem that existing structural plane recognition is low in efficiency is solved, and the method is suitable for structural plane recognition.

The invention relates to the technical field of oil exploration and development, in particular to an intelligent field geological outcrop crack identification method based on a fusion algorithm, namely, a Canny edge detection algorithm is adopted to identify a crack distribution result in a field geological outcrop image; obtaining the size of a crack bounding box in the field geological outcrop image by adopting a YOLOv5 algorithm; and obtaining the crack length and the crack width according to the crack bounding box size. According to the method, the Canny edge detection algorithm and the YOLOv5 algorithm are fused to carry out field geological outcrop crack distribution identification and crack size calculation, so that the labor cost is greatly saved, the operation is simple, the identification is accurate, and the efficiency is improved for accurately describing the field geological outcrop crack.

The invention belongs to the technical field of rock physics and geophysics, and discloses a complex fracture anisotropic elastic parameter characterization method and system.The method comprises the steps that an outcrop picture of a fracture-karst geologic body is processed, a complex fracture model is obtained, and the fracture density and the fracture direction of the complex fracture model are calculated; a new Biot consolidation equation is constructed; designing an oscillation relaxation experiment; the complex fracture model is simulated, corresponding boundary conditions are given, and stress and strain fields of the complex fracture model are obtained through calculation; establishing a damage function, and substituting the stress and strain field of the complex crack model to solve the damage function to obtain elastic parameters of the complex crack model corresponding to a single frequency; different frequencies are given to realize calculation of anisotropic elastic parameters of the complex fracture. According to the invention, anisotropic elastic characterization of the complex crack rock can be realized more effectively; according to the method, the restrictive problem of conventional rock physical equivalent modeling and conventional numerical simulation estimation of the elastic parameters is effectively solved.

The invention discloses a lithology identification method and system based on TLS, and belongs to the technical field of lithology intelligent identification, and the method comprises the steps: S1, collecting all rock data of a target region, and carrying out the preprocessing of the rock data, and obtaining outcrop point cloud data; s2, constructing a lithology identification unit, and dividing the outcrop point cloud data into point cloud blocks of regular grids according to a preset grid; s3, extracting features with lithologic sensitivity from the point cloud blocks, wherein the features comprise geometric features and spectral features; and S4, inputting the geometric features and the spectral features into a trained random model forest model, and fitting the geometric features and the spectral features by adopting a random forest to obtain lithology categories of various rocks in the target area. According to the method, automatic classification of outcrop lithology is realized, powerful support is provided for geological exploration and lithology analysis, understanding of the geological field is introduced into effective exploration of the artificial intelligence field, and interdisciplinary fusion development is promoted.

The invention belongs to the technical field of geologic structure interpretation and modeling, and particularly relates to a multi-data fusion seismic interpretation and geologic modeling method for a complex structural zone. The invention discloses a multi-data fusion seismic interpretation and geologic modeling method for a complex tectonic zone. The method comprises the following steps: observing and judging formation and fault development characteristics in a work area through an earth surface outcrop fault; interpreting a stratigraphic dip angle by adopting imaging logging to identify a fault; using 3D-VSP data to enhance seismic imaging and identify faults; a low-angle fault is recognized through conventional logging interpretation; identifying a velocity abrupt change interface by adopting a seismic velocity spectrum to determine a fault; through fault comprehensive judgment identified by different data and methods, the fault position is determined, and a geological structure mode of a research work area is constructed. According to the method, through fusion interpretation, fault position identification, seismic interpretation and geologic structure modeling of various data such as outcrop, logging data, seismic data and velocity field, the accuracy of geologic structure modeling can be improved, the success rate of oil-gas exploration is improved, and meanwhile, the cost is saved.

The invention discloses a method for interpreting a carbonate rock karst fracture-cave body structure by using ground penetrating radar data, which comprises the following steps of: surveying a similar outcrop on site, and acquiring a favorable acquisition area of the ground penetrating radar data; designing a ground penetrating radar survey line deployment and acquisition mode based on the favorable data acquisition area of the ground penetrating radar; processing the carbonate rock karst fracture-cave body data detected by the ground penetrating radar; establishing a ground penetrating radar interpretation standard based on an unmanned aerial vehicle scanning image; and performing three-dimensional interpretation on the ground penetrating radar data of the similar outcrops of the carbonate rock karst fracture-cavity body based on the ground penetrating radar interpretation standard. Therefore, the method can be widely applied to three-dimensional representation of the outcrop area carbonate rock karst fracture-cavity body structure, and a similar outcrop three-dimensional geological mode is provided for fine description of a deep buried hill oil and gas reservoir karst fracture-cavity type reservoir.

The invention discloses a method for determining a favorable seismic wave excitation part of seismic exploration by using electrical exploration, which belongs to the technical field of seismic exploration, and comprises the following steps of: 1, deploying an electrical exploration survey line; step 2, field data acquisition of electrical method data; 3, electrical method data processing and inversion imaging are carried out; 4, determining a resistivity threshold value of favorable-more favorable earthquake excitation; 5, circling a candidate favorable-more favorable seismic wave excitation section on a resistivity profile or plane distribution result; and step 6, optimizing shot point deployment in the candidate favorable-more favorable seismic excitation section. The method can solve the problem of selection of a favorable seismic wave excitation part in a complex surface lithology exposure area, and greatly improves the seismic exploration imaging quality and exploration precision. Meanwhile, due to the fact that shot point distribution is required to have certain uniformity, large notches on a seismic section are prevented.

The invention relates to a convection type geothermal resource exploration method and relates to the technical field of geothermal exploration, the convection type geothermal resource exploration method utilizes comprehensive means such as unmanned aerial vehicle flight, geological survey and geophysical prospecting, comprehensive exploration is realized according to a specific process and a technical route, and the exploration accuracy is improved. An inversion processing method is utilized to construct an integration of accurately depicting the exploration method, so that the defect of single exploration in the prior art is overcome, a comprehensive exploration mode is formed from a shallow part to a deep part, from a point to a surface and from a plane to a three-dimensional part, and the convection type geothermal resource distribution condition is more accurately judged. The method is clear in principle, feasible in technology, capable of rapidly and accurately delineating the favorable optimal well position in the bedrock exposure area, suitable for optimal well position positioning and resource quantity evaluation of the convection type geothermal system controlled by a structure, and wide in application range.

The application provides a method for grading the quality of altered rock mass of underground tunnels, and relates to the technical field of rock mass grading. The method comprises the following steps: obtaining the Q value of the rock mass through the Q system grading method; defining the first index corresponding to the alteration degree, the second index corresponding to the position relationship between the altered rock mass and the tunnel, and the third index corresponding to the groundwater outcrop condition; calculating the product of the first index, the second index, the third index and the Q value to obtain the corrected Q value; and grading the quality of the altered rock mass according to the corrected Q value. In this way, the alteration degree of the altered rock mass, the position relationship between the altered rock mass and the tunnel, and the influence of the groundwater on the altered rock mass are all taken into account, so that the grading of the altered rock mass according to the corrected Q value is more accurate, and the problem of deviation in the grading of the altered rock mass according to the existing Q system grading method is solved. The application is suitable for grading the quality of altered rock mass of underground tunnels.

The application discloses a coal seam water inrush danger monitoring method and system based on repeated disturbance in an ecological fragile area, and relates to the technical field of mine water disaster prevention and control. The method comprises the following steps: comprehensively determining engineering geological conditions according to the vertical depth of the wind oxidation zone and the coal seam characteristic parameters; performing numerical simulation by using a numerical model; based on the positions of the fan lanes of the coal seam working faces in the mine field exploration line graph, determining the water prevention and isolation coal rock pillar setting under repeated disturbance of the coal seam working face near the ecological fragile area coal seam hidden outcrop by using the development heights of the two zones and the height inhibition coefficients of the wind oxidation zone two zones when the coal seam working faces are mined for different lengths, and monitoring the water inrush danger of the working face according to the roof failure characteristics of each working face in the regional roadway. The application can realize real-time and accurate water inrush danger monitoring of the working face near the coal seam hidden outcrop.

The invention discloses an evaluation method for estimating the size of a karst cave main body of a karst fracture-vug type carbonate reservoir by utilizing the width of a fracture zone, and relates to the technical field of oil and gas field exploration and development. According to the method, data such as outcrop in a research area is utilized, fine characterization of fracture-cavity body size research is taken as a core, an internal structure and a forming mechanism of a fracture-cavity body are dissected, then correlation between a fracture zone and a karst cave main body is established, the height of the karst cave main body is calculated, the height of the fracture-cavity body is determined, then correlation between an earthquake fracture-cavity carving body and the height of the fracture-cavity body is established, and the height of the fracture-cavity body is determined. And determining a correction coefficient or a correction formula of the seismic fracture-cavity carving body, correcting the seismic fracture-cavity carving body, and finally accurately depicting the position, the scale and the spatial distribution of the fracture-cavity body, thereby providing a geological basis for efficient exploration and development of the fracture-cavity type carbonate oil and gas reservoir.

The invention belongs to the technical field of sedimentary geology research, and discloses a quantitative sedimentary rock classification evaluation method and system based on biological disturbance. The method comprises the following steps: acquiring a high-resolution image of a unit area of a field outcrop or core sample; identifying a relics fossil or a biological disturbance area in the high-resolution image, and obtaining a biological disturbance quantity percentage of the high-resolution image by using a unit grid method; identifying the belonging number of the relics fossils in the high-resolution image; measuring to obtain the diving hole diameter of each relics fossil, and obtaining the diving hole diameter of the maximum relics fossil; obtaining the natural layer thickness of the field outcrop or rock core sample and the average particle size of the surrounding rock; calculating to obtain a biological disturbance coefficient; and based on the biological disturbance coefficient of the field outcrop or rock core sample, evaluating to obtain a classification evaluation result of the sedimentary rock. When a researcher performs classification evaluation on the same or similar sedimentary rock samples, a relatively consistent result can be obtained, and the repeatability and comparability of evaluation are enhanced.

This invention discloses a method for predicting the volume of fracturing fluid in shale oil, comprising the following steps: Step 1, processing downhole rock samples or outcrops from the same stratum of the shale oil reservoir into standard cores, testing the microstructure of the standard rock samples, obtaining the pore parameters of the standard cores, and conducting wetting contact angle tests; Step 2, conducting spontaneous absorption experiments on the standard cores and calculating the field-scale absorption area; Step 3, establishing a multi-scale pore absorption model based on the rock microstructure and the characteristic parameters obtained from the spontaneous absorption experiments, and calculating the absorption volume using the multi-scale pore absorption model. This invention can achieve quantitative calculation of the volumetric fracturing absorption volume in shale oil horizontal wells.

The embodiment of the invention discloses a method and a device for characterizing a microbial beach deposition configuration, electronic equipment and a medium. The method comprises the following steps: carrying out grading treatment on microbial beach deposition configuration, determining deposition configuration characteristics and configuration unit identification marks of different grades of microbial beach deposition configuration units, and carrying out outcrop interpretation and single well interpretation; the three-dimensional seismic data and the logging data are utilized to determine the superposition pattern and the superposition characteristic of the microbial hillock beach sedimentary configuration unit; the method comprises the following steps: analyzing evolution characteristics of a microbial hillock beach sedimentary configuration according to sedimentary configuration characteristics and superposition characteristics obtained according to field geological outcrop data, three-dimensional seismic data and logging data in combination with sedimentary forward numerical simulation, and establishing a corresponding sedimentary configuration mode; by adopting the scheme, the geological basis is provided for characterization of high-quality reservoirs and connected units by analogy of field geological outcrops, recognition of the microbial hillock beach sedimentary configuration units, summarization of the stacking pattern of the sedimentary configuration units and description of sedimentary evolution characteristics.

The invention discloses a live-action three-dimensional geological outcrop route roaming method, and relates to the technical field of network geographic information. The method comprises a geological outcrop route construction logic process and a geological outcrop route roaming logic process which are sequentially carried out after geological outcrop data acquisition, modeling and storage are completed, the geological outcrop route construction logic process comprises a geological outcrop model screening sub-process, a geological outcrop hot spot screening sub-process, a geological outcrop model and hot spot sorting sub-process and a geological outcrop route storage sub-process; the geological outcrop route roaming logic process comprises a geological outcrop route macroscopic preview sub-process, a geological outcrop model and hotspot display sub-process and a geological outcrop model information display sub-process, so that a user can carry out good'cloud science 'geological investigation, and friendly operability and three-dimensional interactive experience are achieved; and therefore, the real-scene three-dimensional geological outcrop route roaming requirement of the user can be met, and practical application and popularization are facilitated.

The application discloses a surveying-based binary structure small watershed division method and system, and particularly relates to the field of watershed division. Basic data processing of the application includes collecting and preprocessing topography, remote sensing and other data, establishing a basic database, converting vector contour line data into DEM and filling in depressions, generating a non-depression DEM, determining water flow direction by using a D8 algorithm, calculating cumulative flow, and generating a river network. The river channel is converted into a vector runoff network, the sub-watershed range is extracted and mapped, the outcrop point of underground river or karst spring is taken as a corrosion reference, the watershed outlet is determined in combination with the main river channel of a large river, and a complete correlation system is constructed. Finally, the development of the underground water system pipeline is determined through hydrogeological investigation, geophysical prospecting, drilling and pumping test, the results of comprehensive investigation, geophysical prospecting, drilling and pumping test are comprehensively considered to accurately correct the boundary of the underground water system, and the underground water system distribution map conforming to the actual conditions is formed in combination with remote sensing images and administrative division maps.

The invention discloses a tight reservoir fracturing propping agent embedding degree measuring method, which comprises the following steps of: processing two rock plates by using target layer rock or ground rock outcrop, clamping a propping agent by using the two rock plates, and performing three-dimensional laser scanning measurement on three-dimensional coordinates of the rock plates before and after the propping agent is embedded into the rock plates under the condition of stratum closed stress. And obtaining the embedding depth of the proppant on the surfaces of the two rock plates. According to the invention, accurate measurement of the embedding degree of the proppant is realized, and the problem of evaluation of the embedding degree of the proppant is effectively solved.

The invention belongs to the field of geological sedimentology, and particularly relates to a storm cause high-quality lithofacies identification method based on multi-source data comprehensive identification, which comprises the following steps of: A, data acquisition and preprocessing: S1, data acquisition and confirmation: automatically identifying the characteristics similar to a Baomah sequence in a rock core by using a convolutional neural network (CNN) according to the rock core, a field outcrop, a logging curve and logging data; outputting storm deposition sample information; s2, performing automatic lithofacies classification on the rock core image by adopting deep learning (U-Net) in combination with a sedimentary structure; and S3, automatically identifying curve characteristics of a'box-shaped '(storm dam main body) and'bell-shaped and finger-shaped' (storm dam side edge) by adopting time sequence analysis (LSTM or Transformer). According to the method, the high-quality lithofacies recognition model is established by integrating multivariate data, the recognition precision and efficiency are greatly improved, and a scientific basis is provided for oil and gas reservoir evaluation in a storm sedimentary environment.

The invention provides a non-contact measurement method and system for the internal average opening degree of a high-position dangerous rock mass crack, and the method comprises the steps: carrying out the preliminary recognition of a dangerous rock mass through photographing equipment, and obtaining a preliminary recognition result; based on the preliminary recognition result, detonators are hoisted at the same height of the dangerous rock body, the explosive loading amount and the detonating distance are controlled, and the detonators are detonated; performing system identification on the dynamic normal stress time travel curve and the relative normal vibration speed time travel curve, and calculating the equivalent dynamic stiffness of the tension fracture under the dynamic load; and based on the equivalent dynamic stiffness, the initial average open degree of the outcrop and a fracture stiffness-open degree relation model calibrated through an indoor test, the internal average open degree of the high-position dangerous rock mass fracture is obtained through inversion. Through a non-contact measurement-model intelligent inversion technology chain, efficient and accurate measurement of the fracture opening of the dangerous rock mass is realized, and an innovative solution is provided for geological disaster prevention and control.

This application provides a method, apparatus, equipment, and storage medium for intelligent identification and extraction of rock mass structural surfaces on open-pit mine slopes, relating to the field of rock mass surface feature recognition technology. The method includes: acquiring a high-precision three-dimensional geological outcrop model; performing two-dimensional projection on different areas of the model and annotating the structural surface contours, training a semantic segmentation model; using the trained model to identify the target slope projection image and obtain two-dimensional structural surface recognition results; mapping the two-dimensional structural surface traces back to the three-dimensional model based on projection parameters to obtain three-dimensional spatial structural surfaces; cleaning and merging the three-dimensional structural surfaces, removing skew or distorted structural surfaces, merging coplanar structural surfaces, and calculating the structural surface normal vectors to obtain dip, dip angle, and other attitude information. This application solves the problems of low efficiency, high risk, and reliance on manual experience in traditional measurement methods, realizing automated, batch, and high-precision extraction of rock mass structural surfaces on open-pit mine slopes.