283 results about "Geomechanics" patented technology

The invention relates to the technical field of oil and gas field development, and discloses an ultra-large type true triaxial hydraulic fracturing fracture evolution path prediction method and system.The prediction method comprises the steps that a coupling geomechanical model integrating microscopic, macroscopic and wellbore flow scales is constructed; initializing the model and performing crack initial expansion simulation; collecting construction data in real time, and dynamically optimizing model parameters through a data assimilation algorithm; performing fracture evolution advanced prediction by using the updated model; and generating an optimization decision based on the prediction result and feeding back to the construction site. According to the method, fusion of a multi-scale physical mechanism and real-time dynamic prediction is realized, and accurate prediction and active control can be performed on crack expansion under the ultra-large true triaxial condition.

The invention discloses a rock multi-field coupling test system and a damage evaluation and prediction method thereof, belongs to the technical field of geotechnical engineering and geomechanics experiments, and solves the problem that the rock state under the multi-field coupling condition cannot be monitored in real time in the prior art. The system comprises a multi-physics field coupling loading system, a multi-field data monitoring system and a multi-field data acquisition system. The system can simulate and apply axial pressure, confining pressure, pore pressure and temperature of an in-situ environment to a rock sample, integrates an acoustic monitoring system, a deformation monitoring system and a CT scanning system to realize multi-dimensional real-time monitoring of rock sample damage, overcomes the limitation of a single monitoring method, realizes multi-system electrical connection by taking an upper computer as a data acquisition center, and realizes multi-dimensional monitoring of rock sample damage. And a multi-parameter model is constructed by fusing sound waves, deformation and CT data, so that the whole-process quantitative evaluation from microcrack initiation to macroscopic fracture is realized, and the damage evaluation is comprehensively performed.

The invention relates to the technical field of mine safety monitoring, and discloses a roadway surrounding rock stability evaluation method, which comprises the following steps: step 1, collecting roadway surrounding rock geological data, step 2, constructing a three-dimensional geomechanical model, step 3, inverting mechanical parameters, step 4, calculating a stability coefficient, and step 5, outputting an evaluation result. According to the method, rock mass types, structural plane occurrence, crustal stress vectors and permeability parameters are integrally collected through geological radar scanning, drilling coring and crustal stress measuring devices, the problem of model distortion caused by single data in a traditional method is solved, deformation of a stress concentration area is accurately captured by adopting a non-uniform grid division strategy, inversion mechanical parameters are combined, and the method is suitable for large-scale popularization and application. The network is trained by using in-situ direct shear and triaxial test data, the inversion efficiency is improved compared with manual trial and error, the whole surrounding rock fracture process is simulated based on a finite element-discrete element coupling algorithm, plastic zone distribution and a comprehensive index S are output, and automatic judgment of the stability level is realized.

The invention relates to the technical field of geotechnical engineering safety monitoring, in particular to a river valley area bedding slope stability monitoring method and related products, and the method comprises the steps: building a three-dimensional geology-mechanics numerical model of a slope; acquiring monitoring data of the slope state in real time; dynamically correcting mechanical parameters in the three-dimensional geology-mechanical numerical model through inversion calculation; evaluating the stability of the slope and outputting early warning information; according to the method, multi-source monitoring data are fused into the numerical model in real time, dynamic inversion and tracking of internal mechanical parameters of the slope are achieved, comprehensive indexes such as the real-time safety coefficient, the main sliding direction deviation angle and the damage evolution rate are calculated, graded early warning is triggered according to the indexes, and the perspectiveness and reliability of early warning are improved.

The invention discloses a tunnel-landslide mass stability evaluation method based on space-time multi-scale coupling, and belongs to the field of tunnel-landslide masses, and the method comprises the following steps: S1, extracting a feature parameter set and an abnormal event mark set; s2, constructing a three-dimensional geological-mechanical model; s3, space-time multi-scale modeling of multi-physics field coupling is carried out; s4, outputting a stability prediction level by using the constructed ISSA-LSTM-GARCH combined prediction model; s5, generating an early warning in combination with an association rule engine; and S6, knowledge updating and systematic evolution of closed-loop optimization are carried out. According to the tunnel-landslide mass stability evaluation method based on space-time multi-scale coupling, multi-source monitoring data and a multi-physical field coupling model are fused, landslide mass stability under the influence of tunnel engineering is accurately and comprehensively analyzed through high-precision positioning and parameter inversion optimization, and powerful support is provided for engineering decision making.

The invention provides a coal mine high-precision three-dimensional geological modeling method and system based on multi-source heterogeneous data fusion, and relates to the technical field of coal mine geological modeling. The method comprises the following steps: establishing a unified semantic reference system and a time-space coordinate reference, and generating an alignment anchor point set; mapping the multi-source observation data to form an alignment feature set and calculating a source weight; according to a multi-evidence consistency rule and geomechanical prior inversion, a discontinuous geological structure is obtained; constructing an implicit stratigraphic function and applying a boundary jump condition to solve a stratigraphic boundary set; and taking the stratum boundary as a framework, and executing anisotropic joint estimation to obtain a property distribution model and an uncertainty result. According to the method, integrated modeling of the geological structure and the property of the complex structure area is achieved, and the precision, the stability and the credibility of the three-dimensional geological model are remarkably improved.

The invention discloses an InSAR (Interferometric Synthetic Aperture Radar) deformation monitoring system for landslide and a method thereof, and relates to the field of geological disaster monitoring. The method has a high-precision deformation monitoring effect, through multi-source SAR data fusion, interference pair screening optimization and multi-source error correction (such as troposphere and ionosphere delay correction), the fidelity of a deformation phase sequence is remarkably improved, and the precision limitation under a complex terrain is overcome; the method has an intelligent geological constraint inversion capability, introduces geological prior knowledge (such as fault and fracture characteristics), enables a deformation field to better conform to the actual geomechanical law through deep learning semantic segmentation and a Bayesian inversion model, and reduces misinformation and missing report. The method has self-adaptive landslide recognition, adopts deformation gradient field calculation and a dynamic threshold segmentation algorithm, automatically recognizes a potential sliding zone boundary, improves the landslide partitioning efficiency, and is suitable for large-range monitoring.

The invention provides a petroleum drilling geomechanical characteristic estimation method based on deep learning, and aims to solve the problems of high measurement cost and poor real-time performance of shear wave velocity Vs in traditional geomechanical analysis by fusing logging while drilling LWD data and real-time drilling engineering parameters. According to the method, a Transformer model is adopted to carry out depth correction on logging-while-drilling data, depth offset of a drill bit and a logging sensor is eliminated, and real-time drilling parameters such as torque T, bit pressure WOB and drilling speed ROP are combined and input into a multi-layer perceptron MLP network to predict the shear wave speed Vs. And further calculating key geomechanical parameters based on the predicted shear wave velocity Vs. In practical application, the method improves the shear wave velocity prediction accuracy to 97.2%, the mean absolute error MAE of the shear modulus is reduced from 0.186 to 0.059, and the bulk modulus is reduced from 0.189 to 0.040. The method can be used for outputting stratum elastic parameters, optimizing bit pressure, pre-warning well wall instability and adjusting a well track, well drilling safety and efficiency are improved, and meanwhile dependence on an expensive well logging technology is reduced.

The invention provides an intelligent support scheme recommendation method based on an artificial intelligence algorithm, which comprises the following steps: acquiring multi-source heterogeneous geological environment parameters of a target engineering site and real-time dynamic monitoring data flow in a construction process, and constructing a dynamically updated three-dimensional geomechanical model through a geology-construction coupling modeling engine. And performing construction process dynamic risk deduction by using the geological risk assessment artificial intelligence model to generate a risk assessment result. Based on the result, intelligent evolution search is executed in a supporting structure parameter space through a multi-objective optimization artificial intelligence model, a plurality of candidate schemes are generated, screening is carried out in combination with engineering constraint conditions, and a feasible candidate scheme set is formed. And performing multi-dimensional utility evaluation and sorting on the candidate schemes by using the support scheme intelligent sorting artificial intelligence model, generating an optimal support scheme recommendation sequence, and realizing online adaptive optimization through a digital twin feedback loop. According to the method, scientificity, safety and economical efficiency of support design can be improved.

The invention provides a stratified reservoir lamination fracture high-crossing evaluation method and device, and relates to the technical field of oil-gas exploration, and the method comprises the steps: carrying out the combined analysis of a geomechanical model based on a target position of a research area, a first fracture propagation analysis result and a second fracture propagation analysis result, and obtaining a first fracture propagation analysis result and a second fracture propagation analysis result; determining conditions of crack induced bedding opening and crossing expansion under different reservoir and interlayer stress differences and interlayer thicknesses, and drawing a crack height crossing evaluation chart corresponding to the target position by taking the reservoir and interlayer stress differences and the interlayer thicknesses as two-dimensional coordinate axes; and performing layer crossing evaluation before fracturing construction of the to-be-built production block by using the seam height layer crossing evaluation chart. According to the method, the fracture height crossing evaluation chart is determined by combining the formation mechanical characterization, the fracture propagation physical simulation experiment and the multi-cluster fracturing fracture propagation numerical simulation experiment in the horizontal well, then the crossing evaluation of the to-be-built production block is carried out, and the post-fracturing production capacity, the overall production effect of the reservoir and the overall development benefit of the stratified reservoir are improved.

The invention relates to the technical field of geological disaster monitoring and early warning, and discloses a geological disaster early warning system based on multi-source data fusion. The system comprises a data acquisition and preprocessing module, a dynamic coupling modeling module, a space mapping and feature recognition module and a risk analysis and early warning generation module. Firstly, transient disturbance and long-term steady-state components in monitoring data are separated; a dynamic coupling model containing bidirectional geomechanical feedback is constructed, the component fusion proportion is automatically adjusted according to the feedback intensity, and physically consistent fusion data is generated; spatial mapping is carried out by using an adaptive grid, and an effective abnormal feature cluster is identified through parallel scanning and prior geological knowledge constraint; and constructing a causal graph based on the abnormal clusters to carry out risk assessment and early warning. According to the system, physical driving of data fusion and knowledge guidance of anomaly recognition are realized, and the accuracy and reliability of early warning are improved.

The invention relates to the technical field of geological engineering safety risk evaluation, in particular to a regional tectonic stress risk quantitative analysis method for tunnel engineering. The method comprises the following steps: collecting multi-source geomechanical parameters, simulating and inverting a tectonic stress field, and verifying the tectonic stress field; constructing a multi-scale geomechanical model, coupling simulation tectonic stress and gravity stress, and generating a stress space basic layer; utilizing Kriging interpolation and inversion decomposition to obtain a stress value and a directional diagram layer; calculating an included angle between the maximum principal stress direction and the tunnel axis, and performing vector decomposition to obtain a vertical stress component; and carrying out standardized normalization on the factors, determining a weight calculation risk value, and finally generating a tectonic stress risk quantitative grading graph and carrying out GIS visual rendering. The tunnel engineering-oriented risk quantitative analysis mechanism is constructed by retaining the directivity and spatial heterogeneity characteristics of the tectonic stress tensor, and the authenticity, resolution and engineering applicability of tectonic stress identification are remarkably improved.

The invention relates to the technical field of geological information, and discloses a precise positioning method and system based on geological mineral product three-dimensional modeling, and the method comprises the steps: deploying a laser ranging array, a micro-seismic array and a fiber grating sensing array, and synchronously collecting multi-source deformation and stress data; after space-time alignment and filtering, an improved ICP algorithm is adopted to reconstruct a millimeter-level precision three-dimensional point cloud model; a safety coefficient cloud picture is calculated by combining a geomechanical constitutive equation, and a risk area is automatically delineated according to a three-level threshold value; and closed-loop control instructions such as voice alarm, thermodynamic diagram pushing, grouting coordinates and avoiding paths are generated. The system is composed of a sensing deployment unit, a data preprocessing unit, a point cloud reconstruction unit, a mechanical analysis unit, a risk delineation unit and an instruction distribution and execution unit. Millimeter-level positioning, sub-hour-level early warning and full-automatic intervention of goaf deformation are achieved, the early warning accuracy rate exceeds 95%, the emergency response is shortened to the minute level, and mine safety and mining efficiency are improved.

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 discloses a fracture prediction method based on well-to-seismic joint inversion and heterogeneous mechanical modeling, and the method comprises the following steps: collecting and preprocessing basic geological data of a target block; building a high-resolution reservoir rock physical model; establishing a three-dimensional geologic model of the heterogeneous mechanical body; carrying out fracture sensitivity prediction and spatial distribution modeling; and crack network three-dimensional visualization and development decision support. According to the method, well-to-seismic joint inversion, heterogeneous geomechanical modeling and artificial intelligence prediction technologies are deeply fused, and a systematic, intelligent and refined crack prediction solution is formed. Compared with a traditional method, the method has remarkable advantages in the aspects of crack space identification precision, multi-field coupling analysis capability and intelligent level, and provides scientific basis and technical support for efficient development of oil and gas reservoirs.

The invention provides a reservoir mechanical integrity evaluation method under high-frequency injection and production. The evaluation method comprises the steps that S1, rock sample compressive strength and mechanical property parameters of a reservoir under multiple confining pressures are determined; s2, determining the upper limit and the lower limit of the reservoir pressure of the energy storage reservoir in the injection-production process; s3, obtaining the critical fatigue strength of the reservoir rock sample under a plurality of confining pressures within the designed age limit; s4, determining a deviating stress-average stress plane according to the compressive strength and the critical fatigue strength of the rock sample under the plurality of confining pressures, and dividing rock failure zones on the deviating stress-average stress plane; and S5, establishing a geomechanical model to predict the stress level of the reservoir, and judging the safety of the reservoir during the cyclic injection-production period from the perspective of mechanical integrity. Safe, efficient, economical and lasting operation of the energy storage warehouse is guaranteed, and a feasible method is provided for expanding the application range of compressed air energy storage.

The invention relates to a geomechanical modeling method and system based on artificial intelligence and a medium, and the method comprises the steps: carrying out the space-time alignment and feature decoupling processing of continuous field data and discrete structure data, and generating a continuous-discrete mixed feature tensor of a unified space-time reference; the method comprises the following steps: constructing a multi-scale physically coupled hybrid neural network, realizing cross-scale bidirectional interaction through an adaptive physical interface to obtain a dynamically coupled geomechanical prediction model, and performing parameter optimization on the geomechanical model by adopting a physical-data dual-driven dynamic training strategy; performing stratum parameter online inversion based on real-time monitoring data and the trained geomechanical prediction model to generate an uncertainty quantification result; and mapping the uncertainty quantification result to the three-dimensional geologic model, and outputting a visual risk thermodynamic diagram. According to the method, real-time updating and uncertainty evaluation of geological parameters are realized, a quantitative basis is provided for engineering decision making through a visual visualization mode, and scientificity and reliability of decision making are enhanced.

The invention relates to the technical field of slope seismic resistance, and discloses an engineering slope seismic stability optimization method and system, and the method comprises the steps: collecting flood discharge tunnel outlet slope data and seismic oscillation parameter values, and carrying out the partitioning according to the flood discharge tunnel outlet slope general situation data; analyzing rock mass weathering and unloading and physical geology phenomena in each area to obtain physical mechanical parameter suggestions; establishing a three-dimensional model of the flood discharge tunnel outlet slope based on the physical and mechanical parameter suggestions and the seismic oscillation parameter values; inputting the non-uniform seismic dynamic load into the three-dimensional model of the flood discharge tunnel outlet slope for analog calculation; establishing a side slope geomechanical model, and performing simulation verification; and comparing the simulation verification result of the side slope geomechanical model with a preset rule threshold value, if the simulation verification result of the side slope geomechanical model is greater than the preset rule threshold value, performing early warning, uploading the simulation verification result of the side slope geomechanical model to a cloud platform, and performing visual output. According to the invention, comprehensive analysis and management of the flood discharge tunnel outlet slope under the earthquake effect are realized.

The invention provides a method for predicting an underground rock fracture risk in a carbon dioxide sequestration project, and the method comprises the steps: obtaining carbon dioxide time sequence pressure data of a plurality of monitoring points in a carbon dioxide sequestration region; performing feature analysis on the carbon dioxide time sequence pressure data to obtain spatial features and time features; fusing the spatial features and the time features to obtain space-time fusion features; geological parameters and rock fracture historical data of the carbon dioxide sequestration area are obtained; performing characteristic engineering processing on the geological parameters and the rock fracture historical data to obtain geomechanical characteristics; inputting the space-time fusion features and the geomechanical features into a pre-trained rock fracture prediction model to obtain rock fracture prediction data; wherein the rock fracture prediction model is a CNN-LSTM hybrid model. According to the technical scheme, the underground rock fracture risk in the carbon dioxide sequestration project can be accurately predicted.

The constructing of a natural fracture model of a secondary reservoir in a field by using the information from a primary reservoir within a stacked 3D geological model. A fracture model may be constructed for a primary reservoir that incorporates a specific paleo-stress regime and information from a stacked 3D geological model, a deformation model, and a geomechanical model. Parameters such as a deformation model, brittleness index, and stress model may be extracted from the fracture model for a primary reservoir. A fracture model for the secondary reservoir is then constructed from the extracted parameters, and the fracture model is used to identify locations in the secondary reservoir for drilling and other operations.

The invention relates to a geomechanical data visualization method, device and equipment and a medium thereof. The method comprises the following steps: acquiring original data containing rock mass structural characteristics and temperature and humidity environmental parameters, and completing grid division and load and displacement constraint boundary condition setting by adopting finite element analysis to obtain a rock mass stress distribution model; core mechanical parameter evolution of rock mass at different time nodes is simulated based on the model, and a dynamic stress distribution sequence is generated; identifying and marking stress overrun potential event association points through a threshold value, extracting a key time-space change trend, and inputting the key time-space change trend into the time-space dynamic model to obtain a risk prediction distribution diagram containing a risk level, a coverage range and an occurrence probability; and constructing a three-dimensional dynamic view by adopting visual rendering, analyzing a mechanical parameter full-cycle evolution path and geological event association mode, and outputting a three-dimensional dynamic result integrating multi-dimensional information. According to the method, the problems of static data presentation and event association deficiency in the traditional technology can be solved, and the scientificity and the high efficiency of geological engineering analysis are improved.

The invention discloses a tunnel forepoling method, and relates to the technical field of tunnel forepoling, the tunnel forepoling method comprises the following steps: identifying fracture distribution, fracture zone position and scale in a tunnel rock mass, and obtaining geological information of the rock mass in front of a tunnel face; obtaining construction parameters according to the geological information; according to the construction parameters, drilling, pipe shed mounting, steel strand inserting and tensioning and grouting in the surrounding rock are conducted, and a reinforcing area is formed; and stability monitoring is conducted on the reinforced area, and the reinforced area serves as a tunnel advance support. According to the method, the three-dimensional geomechanical model is constructed through multi-source geological detection to guide construction parameter optimization, precise construction control and real-time stability monitoring are combined, and the problems of inaccurate geological information, extensive parameter design and monitoring deficiency in a traditional supporting technology are solved; the reliability of the forepoling structure is improved, the construction risk is reduced, and the engineering cost is saved.

The invention discloses a quantitative evaluation method and system for fault disturbance of a current crustal stress field of a tight reservoir, and belongs to the technical field of petroleum and natural gas development. The method comprises the following steps: S1, obtaining an actually measured crustal stress value I of a target interval of a target fault and an actually measured crustal stress value II under a non-disturbance condition; s2, obtaining a theoretical ground stress value of a target interval of the target fault under a non-disturbance condition; s3, establishing an average principal stress and shear stress intensity calculation model, and calculating to obtain the average principal stress and shear stress intensity under actual measurement and non-disturbance conditions; s4, a crustal stress fault comprehensive disturbance index calculation model is established, a crustal stress fault comprehensive disturbance index is obtained through calculation, and the larger the index value is, the stronger the fault disturbance is. According to the method, the quantitative characterization of the force-fracture coupling relationship can be realized, and the problems of poor repeatability and lack of unified quantitative standards caused by a qualitative method as a main method are effectively solved, and the technical problem that the geomechanical environment around the well near the fault is not matched with the engineering response is effectively solved.

The invention discloses a large-section tunnel blasting control method and system based on an energy dissipation mechanism, and the method comprises the steps: constructing a blasting region three-dimensional geomechanical model of rock mass mechanical parameters, and mapping the energy demand distribution of each point; based on the model, establishing a stress wave field propagation and interference prediction model for predicting a space-time stress field under any microsecond-level delay sequence; constructing a multi-target fitness function, and solving through intelligent optimization algorithms such as a non-dominated sorting genetic algorithm and the like to obtain an optimal microsecond-level delay sequence; the sequence is issued to a plurality of electronic detonators through a high-precision synchronization and safety protocol to execute detonation; and collecting actual blasting monitoring data, comparing the actual blasting monitoring data with a model prediction result, and carrying out adaptive correction on geologic model parameters by applying extended Kalman filtering. According to the method, the stress wave field interference is actively constructed to realize distribution of energy according to needs, multiple blasting targets are considered, and continuous optimization is performed through feedback, so that the blasting precision, safety and economical efficiency are improved.

The invention relates to the technical field of oil and gas reservoir development and geological modeling, and discloses a multi-scale factor constraint-based tectonic network fracture modeling method, which comprises the following steps of: synthesizing a Riemannian metric tensor field on the basis of earthquake, logging and geomechanics data, and defining non-Euclidean distance cost of a fracture expanded in an anisotropic medium; initial seed points are screened according to the elastic strain energy density, and initial growth potential energy in a limited range is distributed; solving the eikonal equation by using an anisotropic fast marching algorithm to carry out wavefront competitive growth, and dividing a grid region into generalized Voronoi units; identifying a wavefront contact interface, and extracting gradient features to judge a fusion or truncation type so as to establish fracture topological connection; and finally, tracking a geodesic line path along an anti-gradient direction to generate a three-dimensional discrete fracture network. According to the method, macro and micro constraints are unified through Riemannian geometry, clear physical significance is given to the fracture by utilizing an energy mechanism, and automatic and accurate construction of the complex fracture network topology structure is realized.

The invention provides a mining disturbance surrounding rock bearing structure analysis method and a mining disturbance surrounding rock bearing structure analysis system, and relates to the technical field of surrounding rock bearing structure analysis. Through intelligent risk prediction of deep learning methods such as LSTM and the like, whole-process refined management and control of the surrounding rock bearing structure under roadway mining disturbance are realized; in combination with fault zone distribution, rock mass damage evolution and disturbance working conditions, the scheme can identify potential damage surfaces in real time and dynamically correct key geomechanical parameters, and it is ensured that the supporting structure design is highly matched with the actual risk; through hierarchical risk early warning and multi-objective optimization measures, the timeliness and accuracy of disaster early warning are improved, and accurate configuration of support resources and collaborative minimization of economic loss are effectively realized, so that the safety guarantee and management efficiency in a complex underground engineering scene is enhanced.

The invention provides a self-adaptive calculation method and system for a coal mine separation layer grouting hole arrangement pitch. The method comprises the following steps: constructing a three-dimensional geomechanical model of a target mining area; in the advancing process of the coal face, a layered settlement monitoring system is adopted to monitor dynamic development of overlying strata separation in real time, and settlement time sequence data of all strata interfaces are obtained; dynamically correcting the three-dimensional geomechanical model based on real-time monitoring data; performing simulation prediction based on the corrected three-dimensional geomechanical model to obtain a dynamic evolution rule of the spatial form, volume and position of separation layer development in a period of time in the future; and according to the dynamic evolution law of the separation layer, calculating and outputting the current optimal hole spacing of the grouting material in combination with the flow characteristics of the grouting material. According to the method, on the basis of simulation, adverse separation layer development conditions such as sudden increase or rapid closing of the separation layer can be predicted, and a precious time window is provided for adjusting a grouting strategy in advance and avoiding water inrush or ground surface settlement risks.

The invention belongs to the technical field of oil and gas field development, and particularly relates to a coupling simulation method for inter-well interference and fracture network evolution in the multi-well-group time sequence fracturing process. The method comprises the following steps: firstly, constructing a high-precision three-dimensional geomechanical model through multi-source data fusion, and solving a reservoir initial crustal stress field based on a finite element method; then time sequence fracturing multi-physics field coupling simulation is carried out according to the actual construction sequence, and a crustal stress field is updated and calculated in real time based on a finite element method; the updated stress field serves as an initial condition of subsequent sub-well simulation, and cross-time-sequence accurate representation of stress interference is achieved; and finally, numerical simulation of all fractured wells is completed through a whole well group iterative simulation process, and fracture network characteristic parameters and a stress interference cumulative effect are output. According to the method, full-process coupling analysis from geological modeling to full-well group fracturing simulation is innovatively realized, and a reliable technical means is provided for optimizing fracturing design.

The invention discloses a precise weakening method for horizontal section fully-mechanized caving mining of extra-thick top coal in a nearly-vertical coal seam. The method comprises the following steps: field parameter acquisition: investigating and surveying to obtain a coal and rock stratum comprehensive histogram and a geological structure; performing three-dimensional non-contact measurement to obtain surface and internal fracture distribution of the top coal; performing an indoor mechanical test to obtain top coal and roof rock mechanical parameters; and actually measuring the lumpiness distribution of the top coal. And building a three-dimensional geomechanical model by using numerical simulation software according to field parameters, wherein the three-dimensional geomechanical model comprises the steps of defining a geometrical shape, setting physical and mechanical parameters, configuring boundary conditions and setting an initial state. And operating the model to simulate advanced blasting, monitoring the bearing capacity of broken top coal, and judging a difficult caving area. Directional blasting is designed according to the distribution of the strong chains in the difficult caving area, and the explosive dosage and the charging mode are adjusted according to the number of the strong chains. And after blasting, the lumpiness distribution of the released top coal is monitored, the explosive amount is fed back and optimized according to the weakening effect of the top coal, and a subsequent blasting scheme is adjusted.

The invention provides a rock mechanics dynamic analysis method, system and equipment based on numerical simulation, and relates to the technical field of rock mechanics analys.The method comprises the steps that a three-dimensional geologic model and a three-dimensional geomechanical attribute model of a target sequestration body are constructed; based on the three-dimensional geologic model, establishing an oil reservoir numerical simulation model of the CO2 injection and storage process, and simulating to obtain a reservoir pressure field and a CO2 saturation field under different time steps; carrying out dynamic rock mechanics calculation to obtain dynamic fracture pressure fields of the cover layer under different time steps; and coupling the reservoir pressure field, the CO2 saturation field and the dynamic fracture pressure field, and carrying out transverse and longitudinal leakage risk dynamic evaluation. The technical problems that in the prior art, a simplified geologic model or a coarse mesh model is generally adopted, complex geologic and mechanical characteristics cannot be accurately described, the long-term stability of the storage body cannot be accurately evaluated, and the safety and long-term stability of storage are affected are solved.