1193 results about "Rock mechanics" patented technology

The invention relates to the technical field of rock mechanics, and discloses a rock three-dimensional reconstruction method and system based on multi-source information fusion, and the method comprises the steps: obtaining and preprocessing data, carrying out the spatial feature learning of a fusion feature vector through a 3D-CNN network, and constructing a three-dimensional voxel model of rock microscopic damage; converting the fused image data into a point cloud model of the underground cavern surrounding rock structure by adopting a three-dimensional reconstruction algorithm based on point cloud, and constructing a digital twin framework of the underground cavern surrounding rock structure based on an implicit surface reconstruction algorithm; feature parameters output by the three-dimensional voxel model and the digital twinning framework are used as input, and the optimal supporting opportunity and supporting parameters are output through an LSTM-CNN fusion model; in the underground engineering construction process, surrounding rock deformation data are collected in real time, and a supporting scheme is adjusted in real time through a depth deterministic strategy gradient algorithm; according to the method, the scientificity and timeliness of support design under complex geological conditions can be improved.

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 relates to the field of oil and gas field exploration and development, in particular to an oil and gas reservoir four-dimensional stress field quantitative prediction and integrated modeling method. Establishing finite element geological geometric models in different periods by recovering a paleostructure form in a key structure transformation period; predicting three-dimensional distribution of rock mechanics parameters by combining a rock mechanics experiment and adopting a well-seismic combination method; burial depth changes of rocks in different periods are determined through ancient and modern structure fusion, three-dimensional distribution of mechanical parameters of the ancient rocks is predicted, geomechanical heterogeneous models of oil and gas reservoirs in different periods are established, and numerical simulation of four-dimensional stress fields in different periods is achieved; and a multi-period stress unit cyclic coupling algorithm is adopted to realize coupling of multi-period stress field prediction data into one model. The invention provides a quantitative prediction and integrated modeling method for a four-dimensional stress field of an oil and gas reservoir. The method has practical significance in multiple aspects of ancient stress field numerical simulation, tectonic fracture distribution prediction, 'geology and engineering dessert 'evaluation and the like.

The invention discloses an establishment method of a rock multi-field coupling model and the model thereof, and belongs to the technical field of engineering geological survey. Through comprehensive application of multi-scale modeling, a nondestructive testing technology, a machine learning algorithm and intelligent optimization, the problems that existing multi-physical field coupling analysis is not deep enough, the precision of an observation method is poor, and a device is prone to being damaged are solved, the advantages of various observations are combined, the building and analysis precision of a rock multi-field coupling model is improved, and the rock multi-field coupling analysis precision is improved. The method has the advantages that the method is simple and convenient to operate, the intelligence and automation level of the model is enhanced, microstructure data and macroscopic response are combined, deeper understanding of rock behaviors is provided, meanwhile, more accurate and efficient decision support can be provided for rock engineering design and construction, and the method is worthy of popularization and application. And a novel analysis and simulation method is provided for the field of rock mechanics research. Through the comprehensive scheme, behaviors of rocks under complex geological conditions can be better predicted and managed, so that the safety and economical efficiency of engineering are improved.

The invention provides a rock mass real structural surface direct shear value test simulation method, and belongs to the technical field of rock mechanics. Preparing an artificial fracture on the standard rock sample through Brazilian splitting; scanning the surface of the artificial fracture by adopting a three-dimensional scanning technology to obtain point cloud data of a real structural surface of the rock mass; establishing a direct shear test geometric numerical model of the real rock mass structural surface based on the point cloud data; according to the geometric numerical model of the direct shear test of the real rock mass structural plane, establishing a control equation set considering the wear of the real rock mass structural plane; according to the control equation set, numerical simulation of the direct shear test of the real rock mass structural plane considering abrasion is achieved. The method disclosed by the invention lays a solid foundation for accurately knowing and scientifically mastering the shearing mechanical response and wear evolution law of the real structural surface of the rock mass, and improves the accuracy.

The invention belongs to the technical field of oil and gas production and development, and discloses a sand production pressure difference and sand production quantity quantitative prediction method suitable for a high-temperature and high-pressure sandstone reservoir, which comprises the following steps: calculating static rock mechanical parameters of a target well; predicting initial crustal stress; establishing a porosity and permeability dynamic evolution model; establishing a three-dimensional finite element model; establishing a seepage stress coupling transient nonlinear finite element equation; applying well bottom pressure drop to simulate production, and determining sand production pressure difference; and establishing a sand production rate prediction model, and quantitatively predicting the sand production rate. According to the method, factors such as pore permeability stress, temperature change and water content influencing rock strength are comprehensively considered, a three-dimensional finite element model is established, a seepage stress coupling finite element equation and solving steps are established based on a reservoir elastic-plastic consolidation theory, critical plastic strain is introduced to quantitatively characterize the sand production risk, a sand production prediction model is established, and the rock strength is predicted. And finally, quantitative and accurate calculation and scientific pressure control of the critical sand production pressure difference and the sand production amount are realized.

The invention belongs to the technical field of tunnel safety monitoring, and particularly relates to a rock stratum stress-deformation coupled tunnel safety real-time dynamic modeling method, which comprises the following steps of: embedding a rock mass mechanical relationship into a neural network model as a hard constraint, and establishing explicit mapping of monitoring data and a physical field, a model parameter field is dynamically optimized by adopting ensemble Kalman filtering real-time general field detection data, and a data driving and physical mechanism collaborative deduction mechanism is designed, so that long-term prediction error accumulation is effectively inhibited; a stress field, a deformation field and other physical quantities deduced and output by the model are directly utilized to calculate disaster risk indexes with clear mechanical significance, and a physically interpretable early warning decision is realized by fusing fuzzy reasoning and multi-source risks; the technical problems of physical misalignment, weak long-term generalization and poor early warning interpretability of a data-driven model are solved.

The invention relates to the technical field of metal mine ultra-deep vertical shaft construction, in particular to an advanced pressure relief construction method for a metal mine ultra-deep vertical shaft, aims to solve the problems that the construction safety of a deep shaft is difficult to guarantee and the construction difficulty is high, and is used for a large-diameter vertical shaft with the depth exceeding 1500 m. The lithology and physical mechanics parameters of shaft surrounding rock are obtained by adopting methods such as shaft rock core logging, surrounding rock joint fissure investigation and rock mechanics tests; then mechanical properties of the shaft surrounding rock are analyzed, and shaft surrounding rock excavation disturbance stress field distribution characteristics are obtained; the supporting opportunity and the supporting thickness of the well wall concrete lining are determined, high stress accumulated in a rock mass is released through advanced pressure relief blasting, so that the stress state of the shaft surrounding rock of the non-lining section is actively regulated and controlled, the interaction between the shaft surrounding rock and the subsequent well wall concrete lining is weakened, and the construction difficulty is effectively reduced; various means such as shaft stratum transparency analysis and ground pressure disaster prevention and control early warning are adopted, and safety and high efficiency of digging and supporting construction of the ultra-deep shaft are guaranteed.

The embodiment of the invention provides a blast hole layout method based on crack propagation characteristics under a coupling model, and relates to the field of blast hole position calculation and data processing. The method comprises the following steps: acquiring crustal stress data and rock mechanics data; coupling a stress field model by utilizing the explosion load, the crustal stress data and the rock mechanics data; acquiring blasting data under the stress of the infinitesimal point by utilizing the stress field model, wherein the blasting data comprises the radius of a crushing area and the radius of a fracture area of the rock; based on the blasting data, utilizing MATLAB to predict a crack propagation path under the stress of the infinitesimal point; and obtaining an optimized blast hole arrangement diagram by utilizing the crack propagation path. According to the scheme provided by the invention, the blasting effect can be predicted more accurately by accurately calculating, simulating and optimizing the blast hole arrangement diagram, so that unnecessary blast holes are reduced, and the efficiency of blasting operation is improved. The blast hole layout method based on the crack propagation characteristic can better control the damage range of the rock, the problem of excessive damage is avoided, and the stability of the rock around the tunnel is protected.

The invention discloses a geological modeling, crack propagation and fluid-solid coupling production prediction integrated evaluation method, and relates to the field of multiple technologies, and the method comprises the steps: constructing a three-dimensional geological model of a deep shale gas reservoir; according to the construction model, the attribute model, the three-dimensional ground stress model and the rock mechanical parameter model, a hydraulic fracture model is constructed; based on the hydraulic fracture model and the three-dimensional geological model of the deep shale gas reservoir, establishing a fluid-solid coupling productivity simulation mathematical model of the deep shale gas reservoir; according to the fluid-solid coupling productivity simulation mathematical model of the deep shale gas reservoir, the fractured horizontal well yield of the shale gas reservoir is predicted, and a prediction result is comprehensively evaluated and optimized. According to the method, multiple links of geological modeling, fracture propagation simulation, fluid-solid coupling production prediction and the like are integrated, and the geological characteristics of the gas reservoir, the fracture propagation rule and the interaction between fluid flow and solid deformation are comprehensively considered, so that comprehensive evaluation and optimal development of the deep shale gas reservoir are realized.

The invention relates to the technical field of mine safety, and provides a cross-layer roadway multi-rock-stratum rigidity matching collaborative segmented supporting method which comprises the steps that plastic zone ranges of different rock stratum areas in a cross-layer roadway are determined, and rock stratum joint fissure zones and weak intercalated layers are identified; monitoring the elastic zone rigidity and the plastic zone weakening rate of the surrounding rock, constructing a surrounding rock mechanical model, obtaining the supporting structure rigidity for inhibiting the expansion of the plastic zone through the surrounding rock mechanical model, and constructing a supporting structure according to the supporting rigidity; and the reinforcing material is sprayed to the surface of the surrounding rock through high-pressure jet flow to form a protective layer. Through the cooperative control thought of weak layer control, rigidity adjustment and resistance transfer, breakthrough transformation of crossing roadway support from passive defense to active control is achieved, according to a scientific surrounding rock mechanical model, the rigidity of the support structure can effectively inhibit expansion of a plastic zone, the stability of a system is maintained, and the stability of the system is improved. And finally, an ultrahigh strength performance and gradient spraying layer structure technology is adopted, so that the compression strength and the shear strength of the surrounding rock are remarkably improved.

The embodiment of the invention relates to the technical field of rock mechanics, in particular to a rock micromechanical property determination method, device and equipment, and the method comprises the following steps: carrying out indentation test on a target area on the surface of a rock sample to obtain micromechanical response data of the rock sample; the micro-mechanical response data represents the change relationship between the micro-mechanical response of the rock sample and time; scanning a target area on the surface of the rock sample in the indentation test process to obtain microstructure evolution data corresponding to the micromechanical response data; the microstructure evolution data represents a change relationship between the microstructure of the rock sample and time; and determining the micromechanical properties of the rock sample according to the micromechanical response data of the rock sample and the corresponding microstructure evolution data. According to the embodiment of the invention, the heterogeneous micro-mechanical property of the rock can be accurately represented based on collaborative analysis of the micro-mechanical response and the microstructure of the rock sample at multiple time points, and dynamic, in-situ and quantitative representation of the micro-mechanical property of the rock is realized.

The invention discloses a rock mechanical parameter determination method based on a nanoindentation experiment, which comprises the following steps: S1, randomly selecting a small part of a target rock to carry out the nanoindentation experiment, and testing the elastic modulus, hardness and fracture toughness micromechanical parameters of the target rock; s2, constructing a multi-scale structure model of the target rock by considering internal cracks, pores, organic matters and proportion factors of each mineral component of the target rock based on the micromechanics parameters obtained by the nanoindentation experiment; s3, on the basis of the multi-scale structure model of the target rock, performing multi-scale transformation by utilizing a reformed group theory to obtain a simplified structure model of the target rock, and calculating mechanical parameters of the simplified structure model; and S4, carrying out a macromechanics experiment on the target rock, calculating mechanical parameters, and then checking the reliability of the method for calculating the mechanical parameters of the target rock based on the nanoindentation experiment. According to the method, the efficiency and precision of calculating the macromechanical parameters of the rock can be improved.

The invention discloses a rock crack evolution numerical simulation method based on data analysis, and relates to the technical field of rock mechanics engineering numerical simulation, and the method comprises the following steps: S1, obtaining microstructure data of a target rock, including a CT scanning image, an SEM image and mineral energy spectrum data; and S2, constructing a spatial distribution dynamic mechanical parameter field based on the microstructure data. According to the rock crack evolution numerical simulation method based on data analysis, a dynamic mechanical parameter field driven by a microstructure is constructed, so that the inherent defect that rock is simplified into a homogeneous material in a traditional method is overcome; microscopic characteristics such as mineral hardness gradient, grain boundary strength distribution and pore morphology are effectively quantified into an elastic modulus field, a tensile strength field and a fracture energy field which are spatially distributed, so that the numerical prediction of crack initiation and expansion truly reflects the inherent heterogeneity of the rock for the first time.

The invention relates to a rock mechanical parameter prediction method, device and equipment and a medium, and belongs to the field of oil field stratum analysis, and the method comprises the steps: obtaining to-be-predicted logging data; performing feature extraction on the to-be-predicted logging data through a graph convolution layer of a completely trained GNN prediction model to obtain stratum feature information; and performing calculation according to the stratum characteristic information to obtain rock mechanical parameters of the stratum. According to the scheme, the graph structure of the stratum logging data can be modeled by training the complete GNN prediction model, the nonlinear interaction between stratums is extracted, the complex relation between nodes and edges is automatically learned, the rock mechanics parameter prediction problem of the complex fault zone of the northern oil field is solved, and the prediction efficiency is improved. And even under the condition of data missing or non-uniformity, relatively high prediction precision is kept, and the adaptability and prediction capability to complex stratums of oil fields along the north are greatly improved.

The invention relates to the technical field of underground cavern construction, and discloses a layered rock mass cavern excavation parameter dynamic optimization decision system and method, and the system comprises a rock stratum database building module, an excavation simulation module and an excavation model optimization module. The method comprises the following steps: collecting basic data such as engineering geological conditions, rock mechanical properties and ground stress distribution; establishing an initial rock stratum parameter database through a three-dimensional ground stress test and rock mass permeability characteristic analysis; establishing a stratified rock mass excavation simulation model, simulating a failure mode of a stratified rock stratum under excavation disturbance, and analyzing stress redistribution and a potential failure area; determining a cavern axis direction, an excavation sequence and support parameters according to a simulation result; acquiring surrounding rock deformation, loosening circle expansion and seepage characteristic change; and utilizing a damage proximity index to predict the distribution of the loose circles, and optimizing the stratified rock mass excavation simulation model. The method can adapt to various complex working conditions from a sand shale interbed to an ultra-deep fractured stratum and the like.

The invention relates to the technical field of rock mechanics and petroleum and natural gas engineering, and particularly discloses a hydraulic fracture fracturing monitoring system, method and device based on optical fiber monitoring, and the system comprises a hydraulic fracturing simulation platform which is used for applying three-dimensional stress to a hydraulic fracturing test piece so as to simulate a stratum stress environment; the fracturing fluid injection device is used for injecting pre-prepared fracturing fluid into the test piece, so that a crack in the test piece expands; a plurality of strain sensor groups embedded in the test piece in the preparation process of the test piece; the optical fiber sensing demodulation device is used for collecting strain data detected by the plurality of strain sensor groups; and the data processing device is in communication connection with the optical fiber sensing demodulation device and is used for acquiring the strain data and processing the strain data so as to determine real-time state data of crack expansion in the test piece. According to the scheme, the fracture strain can be monitored in real time, and the accuracy and controllability of the hydraulic fracturing process are improved.

The invention relates to the technical field of shale gas storage development and yield increase, in particular to a shale gas refracturing potential prediction method and system based on multi-modal data fusion. A data set is established according to the obtained shale gas well data, the data set comprises a multi-dimensional sequence data set and a single-valued data set, the multi-dimensional sequence data set comprises logging curve data and fracturing construction curve data, and the single-valued data set comprises geological data, reservoir physical property data, initial fracturing parameter data, production dynamic data and rock mechanics data; marking the refracturing potential of the well section through the production dynamic data; performing data cleaning and standardization processing, and dividing a data set into a training set, a test set and a verification set; and constructing a shale gas refracturing potential prediction model which meets a preset requirement and takes the multi-dimensional sequence data set and the single-valued data set as input and the refracturing effect type as output. According to the method, efficient prediction of the overall refracturing potential of the shale gas well can be realized.

The invention relates to the technical field of oil exploration, and discloses a rock mechanical parameter logging intelligent evaluation method considering continental facies shale fabric characteristics. The method comprises the following steps: 1, dividing shale lithofacies, identifying and determining the bedding development thickness of a sample through an optical microscope, determining a granularity experiment of the sample through granularity analysis, and forming mineral composition and bedding factor lithofacies division; 2, constructing a typical logging facies based on a rock electricity response relationship, and dividing the imaging logging facies of the research area according to natural gamma curves of conventional logging and imaging logging, core deposition structure characteristics and imaging logging image characteristics; 3, testing the longitudinal and transverse wave velocities and the porosity of different shale lithofacies, and calculating the dynamic elastic modulus and the Poisson's ratio. Through fine division and description, the method for accurately evaluating the bedding development condition, the particle size characteristics and the mineral components of the shale sample is provided, the testing time is short, the cost is low, and accurate evaluation of shale can be achieved.

The invention provides a reservoir in-situ key rock mechanical parameter space inversion prediction method and a reservoir in-situ key rock mechanical parameter space inversion prediction system, and belongs to the field of shale oil and gas geology, and the reservoir in-situ key rock mechanical parameter space inversion prediction method specifically comprises the following steps: carrying out a nanoindentation experiment to obtain an indentation experiment database, and simulating rock indentation experiments under different conditions to obtain a macroscopic indentation numerical model; using a Latin hypercube sampling method to obtain a simulation parameter combination database, carrying out batch numerical experiments, and constructing an inversion data set; according to the inversion data set, training the deep neural network model subjected to Bayesian optimization to obtain a single-point inversion prediction model; further establishing a spatial inversion prediction model according to a Kriging interpolation algorithm; and inputting real-time detection data of the deep rock stratum into the spatial inversion prediction model to obtain real-time underground rock mechanical parameter spatial distribution data of the deep rock mass. The deep reservoir space key rock mechanical parameters can be accurately inverted, and a basis is provided for well spacing, well trajectory design, fracturing scheme optimization and the like.

The invention provides an oil and gas reservoir engineering quality single well evaluation method which comprises the following steps: collecting core samples at different depth points, and carrying out a rock mechanics experiment to obtain rock mechanics parameters; a BP neural network method is used for establishing a quantitative relation between experiment numerical values of different depth points and corresponding logging curve scale values, and a single-well full-depth section rock mechanical parameter profile is constructed; and determining weights of different rock mechanical parameters by using an entropy weight method, constructing reservoir engineering quality single-well evaluation indexes, dividing evaluation levels, and quantitatively evaluating the single-well reservoir engineering quality. According to the method, by directly establishing the relation between the rock mechanical parameters and the multiple logging curves, the response characteristics of the logging curves to the reservoir rock mechanical parameters are improved, and the applicability and practicability to a single well are higher; and performing engineering quality evaluation on the oil and gas reservoirs of different depth sections by using the quantified reservoir engineering quality. And the method has more accurate guiding significance for optimization of an oil and gas reservoir transformation scheme.

The invention discloses a method for analyzing the influence of a rock mass multi-scale structure on deep geothermal reservoir circular mining, and relates to the technical field of geothermal resource development and rock mechanics, and the method comprises the following steps: establishing a reservoir rock mass mechanical analysis model and a seepage heat transfer analysis model which simultaneously comprise a microscopic microcrack structure and a macroscopic crack structure; based on the reservoir seepage heat transfer analysis model, reservoir temperature field and seepage field analysis is carried out, and water pressure and temperature distribution results are transmitted to the mechanical analysis model; based on the reservoir mechanical analysis model, reservoir stress and deformation analysis under the heat-water-force coupling effect is carried out, and changes of microcosmic microcrack and macroscopic crack structures in the reservoir rock mass are obtained; the rock mass permeability evolution equation and the porosity evolution equation are adopted to calculate the reservoir rock mass permeability tensor and the porosity, and the reservoir rock mass permeability tensor and the porosity are transmitted to the seepage heat transfer analysis model; and solving the reservoir temperature field, the water pressure field and the mechanical response in the geothermal circulation exploitation process by adopting a seepage heat transfer analysis and mechanical analysis staggered iteration mode. By analyzing the reservoir temperature, the water pressure, the deformation evolution response and the reservoir permeability change in the geothermal exploitation process, geothermal exploitation design and protection can be reasonably carried out, and the application prospect is good.

The invention relates to the technical field of artificial intelligence, and discloses a complex stratum rock mechanics parameter prediction method, which comprises the following steps: collecting multi-source data of a complex stratum, and carrying out data preprocessing on the multi-source data; extracting physical features and statistical features related to the rock mechanical parameters based on the multi-source data, and aligning the physical features, the statistical features and the multi-source data after data preprocessing according to depth to obtain a high-dimensional feature matrix; an integrated machine learning model is constructed, the high-dimensional feature matrix is utilized to train the integrated machine learning model, the integrated machine learning model comprises a bottom layer model and a top layer model, and the bottom layer model comprises a time sequence modeling unit and a nonlinear regression unit; and optimizing model output of the integrated machine learning model based on dynamic weight adjustment and a physical constraint loss function to obtain a rock mechanical parameter prediction result. According to the method, the accuracy of complex stratum rock mechanical parameter prediction can be improved.

The invention provides a hydraulic fracturing pressure relief method for a multi-layer thick and hard top plate of an extra-thick coal seam. The method comprises the steps that the rock stratum occurrence of the multi-layer thick and hard top plate is obtained through a top plate drilling method; based on a rock mechanics experiment method and a roof peeping method, the stability of the multi-layer thick and hard roof is evaluated, and a fracturing target layer in the multi-layer thick and hard roof is judged; directional drill holes are formed in the fracturing target layer according to the rock stratum occurrence; the fractured target layer is subjected to fracture forming in the directional drilling process through abrasive jet and staged fracturing; and the crack expansion range of the fractured target layer is monitored in real time based on the in-hole micro-seismic monitoring method, and fracturing construction parameters are dynamically adjusted according to the crack expansion range. According to the hydraulic fracturing pressure relief method for the multi-layer thick and hard roof of the extra-thick coal seam, by means of rock stratum testing before fracturing, determination of fracturing construction key parameters and monitoring after fracturing, the good pressure relief effect of the multi-layer thick and hard roof is guaranteed, and effective prevention and control of strong mine pressure disasters of the multi-layer thick and hard roof are achieved.

The invention relates to the technical field of rock mechanical tests and safety monitoring, and discloses a rock fracture prediction method based on acoustic emission and surface strain cooperative monitoring, and the method comprises the steps: building a monitoring system comprising acoustic emission and an industrial camera array, and building a unified timestamp of each subsystem through a GPS time service module; through load triggering logic, a synchronous trigger is utilized to synchronously acquire an acoustic emission signal and a sample surface image sequence, and evolution characteristics of three-dimensional coordinates of an acoustic emission source and surface full-field strain data are solved. And on the basis, calculating a main strain field variation coefficient, and performing cross-correlation analysis on the resampled energy rate and strain rate. And finally, according to multi-parameter coupling criteria of acoustic emission time sequence parameters, positioning events and surface strain, identifying rock fracture precursor types, and predicting fracture moments and areas by combining a Voight model inverse velocity method and a seismic source projection technology.

The invention relates to a strong mining roadway thick-layer transboundary supporting method, and belongs to the technical field of roadway supporting, and the method comprises the steps that geometric parameters, rock mass mechanical parameters and stress field parameters of a strong mining roadway are obtained; based on the geometric parameters, the rock mass mechanical parameters and the stress field parameters, the deformation process and the damage process of the strong mining roadway surrounding rock are simulated, and the incidence relation between each deformation stage of the strong mining roadway surrounding rock and the roof partition damage characteristic is obtained; determining a key stage of irreversible deformation of the strong mining roadway surrounding rock based on the association relationship; determining the critical time of transboundary anchoring of the thick layer based on the key stage; determining the support parameters of the anchor rod and the critical anchoring length of the thick layer transboundary; and supporting the top plate of the strong mining roadway based on the critical time, the supporting parameters and the thick-layer transboundary anchoring length. The method has the effect of improving the stability of the strong mining roadway surrounding rock.

The invention relates to the technical field of crustal stress measurement, in particular to a rock core three-dimensional crustal stress measurement system and method based on multi-source data. The method comprises the following steps: acquiring well wall damage information, and identifying a damage type in the well wall damage information; multiple sections of core samples are selected based on the well wall damage information, and overburden pressure parameters are determined based on the multiple sections of core samples; a rock mechanics experiment is conducted on the rock core sample, rock mechanics parameters are generated, and the rock mechanics parameters comprise the Poisson's ratio, the Young modulus, the uniaxial compressive strength value and the tensile strength value. According to the method, the difference value of the maximum stress and the minimum stress is combined with the multi-source coupling constraint principal stress interval, the intersection points are identified through the topological visualization graph, the numerical range of the maximum principal stress and the minimum principal stress can be accurately determined, and then the information of the three-dimensional crustal stress is obtained.

The invention relates to the technical field of geomechanical data research, in particular to a geomechanical data visualization method and system based on a mixed data model. According to the technical scheme, the method comprises the steps of data collection and arrangement, mixed data model construction, visual algorithm design and application and visual result display and interaction. The data collection and arrangement comprises the step of collecting geomechanical data including geologic structure data, rock mechanics parameter data and ground stress data. According to the method, geologists can be assisted to deeply understand the complex relationship between geologic structure evolution and rock mechanical behaviors, and powerful data visualization support is provided for development of geologic theories; geological risks can be predicted in advance, an engineering design scheme is optimized, and engineering safety and economic benefits are improved; through accurate visualization and deep analysis of geomechanical data, the possibility and the potential influence range of disaster occurrence can be evaluated more accurately, and key technical support is provided for disaster early warning and prevention and control measure formulation.

The invention discloses a coal rock mass creep disturbance test method, which belongs to the technical field of rock mechanics and engineering, and comprises the following steps: S1, carrying out a conventional compression test, and determining creep and disturbance test parameters; s2, carrying out a graded loading creep test; s3, carrying out a creep disturbance test; applying a disturbance load to the test piece according to creep and disturbance test parameters, and monitoring stress, strain, damage evolution and instability failure characteristics of the test piece under the action of dynamic load disturbance; judging the next test process according to the deformation evolution rule of the test piece after each disturbance; and S4, determining a strength limit neighborhood of the test piece under the action of creep and disturbance according to a test result. According to the method, key information such as the deformation rule, the instability failure characteristic and the strength limit of the coal rock mass can be disclosed, then the damage evolution rule, the strength limit and the instability mechanism of the coal rock mass under the creep action and the dynamic load disturbance action are researched, and scientific basis and technical support are provided for stability prediction and control of engineering rock mass in engineering practice.

The invention provides a numerical simulation method and system based on rock mass fracture extension and seepage coupling, and belongs to the field of rock mechanics. Rock is regarded as a set composed of particles and mechanical contact between the particles, and a triangulation network is constructed based on the circle center of each particle; according to the geometrical characteristics of the triangulation network, a seepage pipeline network containing the interior and the periphery is built, and network nodes and boundary nodes are determined; calculating the permeability coefficient according to the particle positions on the two sides of the pipeline, and forming a penetrating seepage channel and fracture network by taking the pipeline which is not 0 and penetrates through and is connected with boundary nodes as a passage pipeline; and constructing a flow conservation equation set based on network nodes, solving pore pressure by using a Jacobian iteration method, calculating fracture pressure, and applying the fracture pressure to the model to realize coupling of a stress field and a seepage field. According to the method, the advantages of particle discrete elements in calculation of rock mass fracture extension and the advantages of a pipeline network method in calculation of fracture seepage are fully exerted, and accurate simulation of rock mass fracture initiation extension, seepage channel recognition and seepage field calculation is achieved.