797 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.

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 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 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 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 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 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 provides a hydraulic fracturing crack propagation simulation method and device and electronic equipment, and the method comprises the steps: obtaining the ground stress field distribution of each fracturing section through a geomechanical model according to the geological parameters, logging interpretation and rock mechanics experiment data of a target area fracturing section; utilizing an induced stress field model to simulate induced stress distribution of each fracturing section; obtaining comprehensive crustal stress field distribution according to the crustal stress field distribution and the induced stress distribution; the theoretical crack initiation pressure of each perforation cluster of each fracturing section is calculated according to the comprehensive crustal stress field distribution by means of a perforation cluster crack pressure model, perforation cluster crack initiation data of each fracturing section are determined according to the theoretical crack initiation pressure and the actual crack pressure, and the perforation cluster crack initiation data comprise the perforation cluster crack initiation state and the perforation cluster crack initiation number; and utilizing the multi-cluster crack propagation model to obtain a crack propagation trajectory simulation result according to perforation cluster crack initiation data and an actual pump injection program. According to the method and the device, hydraulic fracture expansion of segmented multi-cluster fracturing can be accurately simulated.

The invention relates to a nanoscale grouting method for illite-smectite mixed layer surrounding rock, which is characterized by comprising the following steps of: S1, combined detection of a borehole television and a ground penetrating radar or a geological radar: carrying out rock mass structure detection in a manner of combining the borehole television and the ground penetrating radar or the geological radar, and obtaining a deformation rule of a roadway and surrounding rock in an area; s2, arranging grouting pipes and an exhaust pipe: arranging two long and short grouting pipes and one exhaust pipe in the grouting hole according to the deformation rule of the roadway and the surrounding rock in combination with numerical simulation of rock mass mechanics and the result of the numerical simulation; s3, grouting is conducted, specifically, grouting is conducted in a deep and shallow hole matching grouting mode; s4, secondary splitting grouting reinforcement is conducted, specifically, the mine illite-smectite mixed layer surrounding rock is reinforced through a secondary splitting grouting technology, the unfilled part in the primary grouting process is made up, and it is ensured that all gaps are filled with grout; and the illite smectite mixed layer surrounding rock can be grouted well.

The invention discloses a deep tunnel surrounding rock mechanical parameter inversion method based on a three-dimensional brittle failure zone contour and sparrow optimization algorithm-information vector machine (SSA-IVM) combined optimization algorithm. The engineering technical problem that due to the fact that excavation instantaneous displacement is difficult to monitor, deep tunnel surrounding rock mechanical parameters are difficult to reasonably obtain through displacement back analysis is solved. The method comprises the following steps: firstly, constructing a tunnel FLAC3D numerical simulation model with the same ground stress condition at the occurrence position of a three-dimensional brittle failure zone; secondly, taking an absolute error between the total number of computational grid units in the actually measured brittle failure zone and the total number of computational grid units entering a plastic state in the range of the actually measured brittle failure zone after calculation of the FLAC3D numerical model as an optimization objective function; and then, by taking the tunnel surrounding rock mechanical parameters as optimization variables and taking a target function reaching a global minimum value as a target, performing global optimization by combining a tunnel FLAC3D numerical model and adopting an SSA-IVM joint optimization algorithm, thereby obtaining reasonable tunnel surrounding rock mechanical parameters.

The invention provides a fracture deformation-seepage cross-scale visualization experiment device and a test method, and relates to the technical field of hydraulic rock mechanics and measurement. Comprising a macroscopic observation assembly, a microscopic observation assembly, a microscopic seepage model, a temperature-stress-seepage loading system, a monochromatic coaxial light source and a data acquisition and analysis system, the microscopic seepage model is used for placing a fractured rock mass; the temperature-stress-seepage loading system is used for injecting fluid with fluorescent microspheres into the microcosmic seepage model, applying load, regulating and controlling temperature and collecting data; the data acquisition and analysis system is used for processing data and images. By arranging the macroscopic observation assembly and the microcosmic observation assembly, double-scale synchronous observation is achieved, the whole process of fracture internal fluid interface evolution and rock mass deformation can be obtained in real time under the multi-physics field coupling conditions of temperature, stress, seepage and the like, visual correlation of deformation, flow and stress is achieved, and the measurement accuracy is improved. And an experimental basis is provided for establishing a fracture multi-field coupling mechanism model.

The invention discloses a numerical simulation method and device for seepage heat transfer of a three-dimensional rough fractured rock mass, and relates to the technical field of rock mechanics engineering.The dynamic opening degree of the fractured rock mass is obtained by combining the initial opening degree and the equivalent opening degree of the fractured rock mass, and in the process of obtaining the dynamic opening degree of the fractured rock mass, the dynamic opening degree of the fractured rock mass is obtained. According to the method, based on the initial opening and the equivalent opening, the coupling influence of the shear expansion effect and roughness degradation on the fracture opening under the action of shear stress is quantified, and then based on the dynamic opening of the fractured rock mass, the point cloud data of the upper and lower fracture surfaces of the fractured rock mass after shearing is updated; the dynamic updating of the three-dimensional geometrical morphology of the real fracture in the shearing process is realized, and the bidirectional coupling simulation of the seepage field and the temperature field is realized based on the three-dimensional geometrical morphology data of the real fracture, so that the precision of the seepage heat transfer numerical simulation of the fractured rock mass is improved.

The invention discloses a natural caving method-based mining ore rock caving simulation system and method, relates to the technical field of ore rock caving simulation, and aims to solve the problems that the traditional ore rock caving simulation only focuses on acquisition of macroscopic geological data and rock mechanical parameters in the aspect of data acquisition, and the existing simulation system only focuses on acquisition of macroscopic geological data and rock mechanical parameters in the aspect of analysis methods during microstructure analysis. The algorithm is relatively single and rough, so that the simulation result cannot accurately reflect the real caving condition of the ore rock in the actual mining process. According to the invention, the data acquisition module comprehensively acquires macro and micro data and scientifically processes the macro and micro data, the microstructure analysis module accurately analyzes a microstructure by using multiple advanced algorithms and constructs a prediction model, the macro mechanical analysis module combines multiple algorithms to accurately analyze mechanical behaviors, and the data fusion calculation module ingeniously fuses the data to improve the prediction accuracy. Mining risks are effectively reduced, and safe and efficient mining operation is guaranteed.

The invention relates to the technical field of mining engineering, in particular to a goaf blasting parameter design scheme optimization method and system. The method comprises the following steps: analyzing stratum complexity based on goaf distribution and fracture density; according to the rock mechanical parameters and the stratum stress data, the rock anti-knock strength is calculated; the dynamic stability of the goaf is evaluated, and a blasting adaptability coefficient is obtained through the stratum complexity, the rock anti-explosion strength and the dynamic stability; calculating an energy balance coefficient by utilizing the stratum disturbance energy and the blasting energy utilization rate; and based on a genetic algorithm, in combination with the blasting suitability coefficient and the energy balance coefficient, obtaining a goaf blasting parameter design optimal scheme. The method is suitable for underground or open blasting engineering with the goaf, accurate matching of blasting parameters, stratum conditions, goaf stability and engineering actual effect can be achieved, and the problem that goaf blasting safety control, operation efficiency and implementation effect are difficult to comprehensively consider is solved.

A method for evaluating shale compressibility logging based on game theory, comprising: step 1 of preparing rock core data, conducting experiments, and obtaining rock mechanical parameters and experimental rock physical parameters; step 2 of establishing a relationship between the rock mechanical parameters and the experimental rock physical parameters; step 3 of establishing a relationship between the rock mechanical parameters and the experimental rock physical parameters to predict the formation pore pressure based on the well logging rock physical parameters; step 4 of establishing a relationship between the laboratory and field logging rock physical parameters; step 5 of constructing a geostress calculation model for the research block formation and further obtaining related parameters; step 6 of obtaining the main controlling factors of shale compressibility geomechanics by normalizing the oil recovery intensity; step 7 of obtaining the main expression parameters and ranking of the relatively independent shale compressibility; and step 8 of determining the shale compressibility index. [Effects] A method for evaluating shale compressibility has been established with high accuracy.

The invention provides a method for establishing a deep hard rock dynamic disturbance three-dimensional mechanical model, and relates to the technical field of rock mechanical properties and engineering. The method comprises the following steps: carrying out a true triaxial test without power disturbance and a true triaxial test under the action of power disturbance on a deep hard rock taken from a certain tunnel project in the deep part, and recording test data of the whole mechanical behavior process of each test; determining failure modes of the deep hard rocks under different dynamic disturbances by comparing all the tested deep hard rocks; the method comprises the following steps: determining a parameter evolution model of cohesion and an internal friction angle under the dynamic disturbance true triaxial condition by constructing a mechanical model of a deep hard rock under the dynamic disturbance true triaxial condition on the basis of mechanical behavior whole-process test data of the deep hard rock under the dynamic disturbance action and failure modes of the deep hard rock under different dynamic disturbances; according to the method, the mechanical behavior of the hard rock under the influence of multi-source dynamic disturbance can be predicted, and a basis is provided for surrounding rock stability evaluation in the construction process of a deeply-buried hard rock area.

The invention discloses a fracturing fracture extension simulation method based on a self-adaptive multi-scale phase field model, and relates to the field of oil and gas reservoir renovation, and the method is characterized in that reservoir physical property and rock mechanics parameters are obtained, and a reservoir geologic model is established according to the parameters; dividing the reservoir geometric model into a plurality of finite element grids, and assigning grid attributes of the finite element grids by using the parameters to obtain preset hydraulic fractures in the finite element grids and initial variable values on nodes of the finite element grids; according to a preset position relation between the hydraulic fracture and the finite element mesh, constructing a multi-scale adaptive mesh for dynamic expansion of the hydraulic fracture; establishing a coupling mathematical model of a stress field, a seepage field and a phase field of hydraulic fracturing, and constructing a numerical calculation expression of the coupling mathematical model according to the multi-scale adaptive grid; and based on the numerical calculation expression, solving the coupling mathematical model by taking parameters of reservoir physical properties and rock mechanics and boundary conditions of the multi-scale adaptive grid as constraints to obtain hydraulic fracturing fracture extension simulation results under different reservoir and construction conditions.

The invention provides a water bank slope structural surface rock mass shear creep test system and method under a dry-wet cycle, relates to the technical field of rock mechanical property test, and aims to accurately reproduce a dry-wet cycle-stress coupling working condition of a rock mass structural surface under a complex environment. In the device, the direct shear apparatus comprises a loading frame and a loading and sliding device mounted on the frame, and provides a stable mechanical loading basis for a test; the shear box is used for accommodating a rock sample containing a structural surface, and the lower shear box adopts a lengthened design, so that the shear area in the whole shear process can be ensured to be constant; the dry-wet cycle environment simulation cabin is fixed in the loading frame, hermetically wraps the shear box and is integrated with a water soaking subsystem and a drying subsystem, the water soaking subsystem can adjust the water level height and water pressure in the simulation cabin, and the drying subsystem can dry a rock sample, can reproduce the sun illumination radiation condition and is matched with the water soaking subsystem to realize periodic dry-wet cycle; and the coupling effect of dry-wet cycle and mechanical loading is realized.

The invention relates to a rock multi-surface direct shear test system and method considering fluid-solid coupling, and relates to the field of rock mechanics and seepage mechanics. Comprising a true triaxial loading frame which is used as a supporting frame of a test system and is used for clamping a sample and realizing a true triaxial stress state; the shear loading device is arranged in the true triaxial loading frame and is used for independently applying a horizontal shear load; the seepage module is connected with the true triaxial loading frame and is used for feeding fluid into the surface of the sample; the data acquisition system is used for monitoring and recording stress, strain, displacement, acoustic emission signals and seepage parameters in the test process in real time; and the servo control system is used for coordinating and controlling static loading, shear loading and seepage processes. According to the invention, the loading precision is improved, more real test conditions are provided for safety assessment of deep rock mass engineering and geological disaster prevention and control, and the device has important engineering application value.

The invention discloses a rock shear seepage coupling true triaxial test system, which relates to the technical field of rock mechanical tests, and comprises a host, a sigma 1 / sigma 2 direction loading module, a sigma 3 direction confining pressure module, a pressure chamber auxiliary system, a sample clamp, a pore water seepage system, a temperature system, a control module and a data acquisition and processing module, through servo closed-loop linkage double-pump loading in the sigma 1 / sigma 2 direction, synchronous output of the double pumps and coordination of pressure supply of the two oil cylinders by the controller, a strain correction algorithm is combined, stability of a stress loading center is guaranteed, strain measurement accuracy is improved, confining pressure is accurately controlled in the sigma 3 direction through a double-balance pressure chamber and a pressure regulation algorithm, and the stress measurement accuracy is improved. The pressure chamber is in full-automatic operation, manual steps are omitted, errors are reduced, efficiency is improved, a stress-free blank angle clamp eliminates friction interference, a seepage system supports a double-loading mode, a control module achieves multi-control-mode impact-free switching, a data processing module is combined with an elastic modulus calculation algorithm, rock mechanical parameters are accurately obtained, and the multi-field coupling test requirement is met.

The invention relates to the technical field of geological engineering, provides a mixed rock kinetic parameter prediction method based on deep learning, and aims to improve the rock mechanical parameter prediction accuracy. Features are extracted based on preprocessed multi-source heterogeneous data, a graph neural network is constructed, and a double-deep learning model is constructed and trained; and predicting kinetic parameters based on the trained double-deep learning model. By adopting the mode, the rock mechanical parameter prediction accuracy is improved.

The invention relates to the field of mine disaster prediction, and discloses an AI-based mine disaster prediction and risk assessment method, which comprises the steps of deploying a multi-source sensor network which comprises a microseismic monitoring sensor, a gas concentration sensor, a stress sensor and a hydrological sensor, the data acquisition module is used for acquiring micro-seismic waveform data, gas concentration time sequence data, stress data and hydrological parameter data of a mining working face, a roadway and a geological structure area; and performing space-time alignment processing on the microseismic waveform data, the gas concentration time sequence data, the stress data and the hydrological parameter data to generate a space-time aligned heterogeneous data set, and performing encryption feature interaction with an external system through a federated learning framework. According to the method, a multi-modal deep learning model is constructed, microseismic waveforms, gas concentration time sequences and geologic structure space correlation characteristics are extracted, rock mechanics equation constraint conditions are injected in model training, and the recognition capacity of rock stratum fracture precursor signals and the disaster chain coupling process is remarkably enhanced.

The invention belongs to the technical field of rock mechanical property research, and discloses a rock elastic-plastic damage constitutive model establishment method considering freeze-thaw strength and compaction effect, and the method comprises the following steps: proposing a concept of freeze-thaw strength to comprehensively reflect the freeze-thaw damage degrees of rock at different freeze-thaw temperatures and durations; performing a freeze-thaw test and a triaxial compression test on the rock test piece, recording test data in the triaxial compression test process, drawing a stress-strain curve based on the test data, and constructing a yield function and a hardening rule of the rock test piece based on the strength characteristic parameters of the freeze-thaw rock; establishing a rock elastic-plastic damage constitutive equation considering the freeze-thaw effect and the compaction effect; and determining a parameter expression of the rock elastic-plastic damage constitutive model based on an elastic-plastic theory in combination with freeze-thaw rock triaxial compression test data. According to the technical scheme, the compaction stage and the volume deformation of the frozen-thawed rock can be reflected, and the method has the advantages of being wide in application range and high in prediction precision.

The invention relates to the technical field of rock mechanics and deep stratum reconstruction engineering, and discloses a method for determining a roof rock stratum fracturing horizon based on multi-scale rock mechanics characterization, and the method comprises the following steps: firstly, obtaining drilling cuttings to prepare a nanoindentation test piece, and carrying out gridding dotting test and mineral scanning; secondly, calculating micromechanical parameters such as reduction modulus, fracture toughness, elastic index and plastic work ratio based on test data; constructing a macroscopic mechanical model by utilizing the microscopic parameters and the mineral distribution characteristics to carry out numerical simulation to obtain a macroscopic elastic modulus and uniaxial compressive strength; and finally, performing normalization and weighting processing on macro and micro parameters, constructing a comprehensive compressibility index and a comprehensive brittleness index, and optimizing a target fracturing layer position and a perforation position according to the comprehensive compressibility index and the comprehensive brittleness index. According to the method, cross-scale coupling of microscopic component attributes and macromechanical response is achieved, the problem of parameter acquisition caused by heterogeneity of deep rock strata is solved, the limitation of single-scale evaluation is overcome, and the fracture horizon identification precision and the engineering success rate are improved.

The invention provides a multi-source monitoring and evaluating system for a deep underground space energy storage project, and the system comprises a data monitoring module which is used for monitoring the multi-source rock mass mechanical parameters of the surrounding rock of the deep underground space energy storage project, and obtaining the multi-source monitoring data; the data transmission module is used for transmitting multi-source monitoring data; and the data early warning module is used for receiving the multi-source monitoring data, analyzing the multi-source monitoring data based on multi-source data space-time alignment fusion and an AI algorithm, and obtaining an evaluation and early warning result of the deep underground space energy storage project. According to the technical scheme, through rock mechanics multi-source monitoring and intelligent analysis, the surrounding rock stability evaluation capability of the deep underground space energy storage project can be remarkably improved.

The invention provides a productivity evaluation method for a tight gas reservoir horizontal well, and relates to the technical field of tight gas reservoirs, and the method comprises the following steps: obtaining well logging sensitive parameters and rock mechanical parameters of the tight gas reservoir horizontal well; based on the logging sensitive parameters and a comprehensive index model, comprehensive indexes corresponding to different reservoirs in the horizontal well are calculated; based on the comprehensive index, the logging sensitive parameter and the rock mechanical parameter, determining a geological dessert level and an engineering dessert level corresponding to the reservoir; and carrying out productivity evaluation on the horizontal well based on the geological dessert level and the engineering dessert level corresponding to the reservoir. Therefore, the geological sweet spots can be accurately identified based on different data dimensions through the comprehensive indexes determined by the logging sensitive parameters having great influence on lithology and the logging sensitive parameters, collaborative evaluation is performed through the geological sweet spots and the engineering sweet spots, the reservoir capacity and the transformation capacity of the reservoir capacity are considered at the same time, and the accuracy of capacity prediction is remarkably improved.

The invention discloses a research method for a crack evolution law of fractured rock under thermal-mechanical coupling, and belongs to the technical field of rock mechanics. Aiming at the problem that most indoor tests and numerical simulation at present still lack systematic research on crack initiation, polymerization and failure behaviors of cracks in a multi-crack rock mass under the action of high temperature-stress coupling, the method comprises the following steps: defining an interaction coefficient and a thermal damage influence coefficient between the cracks on the basis of a tangential stress distribution theory around the cracks; establishing a tangential stress model sum of the inner and outer surfaces of the crack comprehensively considering the coupling effect of the two to predict a potential crack initiation position; based on a crack mode displacement decomposition method, defining a displacement ratio coefficient gamma, and quantifying a displacement field of rock material cracks; on the basis, the rock sample is subjected to mechanical test and PCF numerical simulation, and the crack evolution law of the rock sample containing the prefabricated crack under thermal-mechanical coupling is researched. Theoretical support and experimental basis can be provided for stability evaluation and safety control of deep high-temperature rock mass engineering.