129 results about "Rock mechanics" patented technology

The present application relates to the field of rock mechanics property testing, and discloses a test device for rock shear creep impact disturbance loading. The device comprises a control box, an air compressor, a fixed plate, a pressure sensor, a fixed base, an air cylinder, a speed regulating throttle valve, an anti-rotation rod, an anti-rotation plate and a ram. The control box is connected with the pressure sensor and the air compressor through wires; the loading end of the pressure sensor is connected with the fixed base, and the base is installed on the fixed plate; the rear end cover of the air cylinder is connected with the fixed base, and the piston rod end is connected with the ram; the lower part of the ram is provided with an anti-rotation rod connecting lug, and the anti-rotation rod is fixed with the anti-rotation plate through the connecting lug. The air compressor is connected with the speed regulating throttle valve, the ram reciprocating motion is controlled by adjusting air pressure through the control box, and shear impact disturbance loading is realized. The present application can simulate real disturbance working conditions such as blasting and earthquake, has intelligent regulation and control functions of disturbance frequency and load, and is suitable for rock shear creep impact disturbance test.

The invention provides a rock mass structural surface strength prediction method driven by a ground vibration load, and relates to the technical field of rock mass mechanics. The method comprises the following steps: acquiring and integrating geometric and mechanical parameters, seismic oscillation parameters and test and numerical simulation data of a structural plane to form a standardized database; cleaning and standardizing database data, constructing a dynamic attenuation factor, and screening and enhancing key features to obtain initial input features; constructing a physical experience reference model and a machine learning predictor, and training a hybrid prediction model by combining prediction results of the physical experience reference model and the machine learning predictor; verifying the model and quantizing the output uncertainty; inputting the basic data calling model to complete calculation and outputting a result. According to the method, the reliability and adaptability of rock mass structural surface strength prediction are improved, and support is provided for seismic design of geotechnical engineering.

This invention discloses a method and system for inverting mechanical parameters and intelligently analyzing the stability of tunnel surrounding rock, relating to the field of intelligent construction technology for tunnels and underground engineering. The method includes: collecting tunnel monitoring and measurement data and constructing a displacement field observation matrix; constructing a physical information neural network embedded with the geotechnical mechanics control equations to invert the mechanical parameters and stress field of the surrounding rock; automatically calling the finite element kernel through a programming interface and calculating the safety factor of the surrounding rock using the strength reduction method; using evidence theory to fuse multi-source analysis results and output the stability level; and driving online model updates and support optimization through prediction-monitoring comparison verification. This invention achieves the integration of parameter inversion, automated numerical simulation, and closed-loop verification, improving the accuracy, efficiency, and intelligence level of surrounding rock stability analysis.

This invention belongs to the fields of rock mechanics, geological engineering, and geophysical exploration technology. Specifically, it discloses a method and system for constructing a mapping relationship between acoustic wave velocity and surrounding rock stress. The method includes: performing uniaxial graded loading on a standard sandstone sample and simultaneously measuring the P-wave velocity and S-wave velocity under each stress level; then fitting a linear mapping relationship between the P-wave / S-wave velocity ratio and the axial stress of the surrounding rock; introducing joint correction coefficients and water content correction coefficients to optimize the linear mapping relationship and constructing an acoustoelastic model; and using the acoustoelastic model and field-measured wave velocity data to invert the stress state of the actual surrounding rock, thus completing the construction of the acoustic wave velocity-surround rock stress mapping relationship. This invention solves the problems of traditional wave velocity-stress relationships, which, when describing the nonlinear response of rocks at different stress stages, are not sensitive enough to subtle stress changes and lack a complete, high-precision, and interference-resistant stress inversion calculation method, making them difficult to directly apply to complex actual engineering environments.

This invention belongs to the fields of rock mechanics, signal processing, and deep learning. It provides an intelligent method, device, equipment, and medium for identifying rock fracture types. The method includes: acquiring acoustic emission signal data, loading stress-strain data, and rock image / video of the rock sample; extracting multimodal features from the acoustic emission signal data and loading stress-strain data; performing principal component analysis on the multimodal features to obtain a dimensionality-reduced feature matrix; labeling training data using a rock failure event time-series correlation method to obtain crack type labels; training and detecting using a gated recurrent unit network based on the dimensionality-reduced feature matrix and crack type labels to obtain a shear crack probability sequence, and then calculating the tension-shear ratio within a time step; and generating time stamps in the rock image / video based on the tension-shear ratio. This invention achieves accurate and rapid identification of rock fracture types and real-time monitoring of the dynamic evolution of fractures.

The present application relates to rock mechanics, seepage mechanics and unconventional natural gas development technical field, specifically relates to a multi-scale pore and fracture connectivity characterization method of coal body under variable confining pressure based on nuclear magnetic resonance, comprising the following steps: confining pressure saturation and benchmark acquisition; constant pressure displacement and in-situ monitoring: keeping confining pressure constant, injecting nitrogen displacement under constant pressure difference, testing T2 spectrum in-situ at preset time node, obtaining residual water integral area, and determining displacement equilibrium until spectrum shape is stable; multi-stage confining pressure experiment; multi-scale connectivity calculation; compaction-damage stage determination, the present application divides nuclear magnetic resonance T2 spectrum into three scale intervals of micro-pore, medium-pore, large-pore and fracture, calculates the connectivity of each scale through relative connectivity, can distinguish the differential influence of confining pressure on pores and fractures of different scales, reveals the asynchronous evolution law of micro-pore network and fracture system, and provides fine data support for deep coal and rock seepage mechanism research.

This invention belongs to the field of fracture characterization and reservoir hydraulic fracturing simulation technology. It discloses a method and related equipment for characterizing natural fractures and simulating reservoir damage evolution using a phase-field model. By distinguishing primary and secondary natural fractures based on a discrete fracture network and constructing a model, it achieves accurate characterization of the different sizes and spatial heterogeneity of primary / secondary natural fractures in the model. Natural fractures are characterized as mechanically weak surfaces with differentiated parameters. Hydraulic fractures can capture and interact with natural fractures. Combining a phase-field damage model and a rock mechanics constitutive model, it can accurately simulate key behaviors such as activation and deflection during natural fracture propagation without pre-setting fracture paths, avoiding numerical instability and low computational efficiency. Through dynamic coupling analysis of the entire fluid-solid-damage process, it takes into account the influence of multiple factors such as geostress and fluid pressure, improving the accuracy of phase-field simulation, reducing simulation distortion, providing reliable support for fracturing design optimization, helping to improve reservoir stimulation effects and production benefits, and ensuring the smooth implementation of fracturing processes.

This invention belongs to the field of petroleum exploration and discloses a quantitative characterization method for structural fracture parameters based on the coupling of the minimum energy consumption and minimum action principle. To overcome the shortcomings of existing technologies in achieving quantitative prediction of structural fractures from qualitative description, this invention first calculates the energy consumption of fracture rupture through rock mechanics experiments; then, it couples the minimum energy consumption principle and the minimum action principle to establish a rock fracture criterion; based on this, it derives and establishes quantitative characterization models for fracture aperture, volumetric density, and linear density; subsequently, it constructs a heterogeneous mechanical parameter volumetric model and performs elastoplastic geostress field simulation; finally, it achieves batch prediction of structural fracture parameters through programming, and verifies the reliability of the prediction results using core, imaging logging, and production dynamic data. This invention, starting from the physical essence of energy distribution and path selection, provides a unified theoretical framework for rock fracture and significantly improves the prediction accuracy of fracture "sweet spots."

This invention discloses a discrete element method, system, medium, and equipment for simulating equivalent crystalline materials, relating to the field of numerical simulation of rock mechanics. The method includes: converting granite images into binary images using a binarization method to identify various minerals within the binary images; determining the size data of various minerals in the binary images based on a particle size statistical algorithm; extracting micromechanical parameters using nanoindentation experiments combined with a trial-and-error method, and constructing multiple sets of equivalent crystalline models based on the mineral size data; dividing each set of equivalent crystalline models into multiple regions using a Brazilian splitting experiment; determining the optimal magnification for each region of each set of equivalent crystalline models by magnifying from non-critical regions to critical regions using a magnification algorithm, obtaining differentiated equivalent crystalline models; and performing Brazilian splitting numerical simulation using these differentiated equivalent crystalline models to obtain simulation results.

This utility model discloses a TBM roller cutter variable spacing intrusion rock breaking loading device, including: a force transmission beam, multiple T-shaped connecting rods, a scale, and a limiting block. The top surface of the force transmission beam is connected to the upper loading end of the rock mechanics testing machine, and a T-shaped slide is opened on the bottom surface, which is arranged through the axial direction of the force transmission beam. One end of each T-shaped connecting rod slides in the T-shaped slide, and the other end is fixedly connected to the arc-shaped cutter. A scale is provided on the force transmission beam, and the limiting block is locked in the T-shaped slide. The arc-shaped cutter can not only adjust the spacing by sliding along the T-shaped slide, but also slide out and slide in from one end of the T-shaped slide, realizing the rapid removal, rapid replacement, and rapid installation of the cutter. This greatly reduces the time for repositioning and calibration when replacing the cutter, and the cutter spacing can be continuously adjusted to achieve reliable and stable intrusion rock breaking with multiple cutters of variable spacing, truly simulating the actual situation of TBM roller cutter intrusion rock breaking.

This utility model relates to the field of rock mechanics testing technology, and in particular to a cylindrical rock core direct shear test device. The cylindrical rock core direct shear test device includes a base plate, two sets of support plates, a support beam, and two sets of linear guide rails; a control box, installed on the outer wall of the support plates; two sets of guide rods, each set installed in a through slot in one of the two support plates, with a lifting plate slidably mounted on each set of guide rods. An upper shear sleeve is fixedly mounted on the lifting plate, and a positive pressure mechanism is installed on the support beam directly above the upper shear sleeve; a sliding frame, slidably mounted on the two sets of linear guide rails, with a connecting column fixedly mounted at the top of the sliding frame, and a lower shear sleeve fixedly mounted at the top of the connecting column. A clamping assembly for holding the cylindrical rock core is mounted on the lower shear sleeve. The cylindrical rock core direct shear test device provided by this utility model has the advantages of convenient loading and unloading and accurate testing.

The application provides a pressure chamber for rock mechanics testing, and relates to the technical field of rock mechanics experimental equipment.The pressure chamber for rock mechanics testing comprises a protective outer cylinder, one end of which is a closed end and the other end is an open end; a pressurizing inner cylinder coaxially arranged in the protective outer cylinder and in sealed sliding fit with the protective outer cylinder, the pressurizing inner cylinder having an axially-through pressurizing cavity, one end of the pressurizing inner cylinder being in abutment with the closed end, and an end face sealing device being arranged between the closed end and the end face of the pressurizing inner cylinder; a pressurizing pull rod comprising a pressurizing protective head and a first lifting mechanism, the pressurizing protective head being arranged in sealed sliding fit in the pressurizing cavity, the first lifting mechanism being connected with the pressurizing protective head and driving the pressurizing protective head to reciprocate along the axis of the pressurizing inner cylinder; and a second lifting mechanism connected with the pressurizing inner cylinder and the protective outer cylinder and driving the pressurizing inner cylinder to reciprocate along the axis of the protective outer cylinder. The pressure chamber for rock mechanics testing can be conveniently opened and closed while having good sealing effect.

This invention provides a hydraulic pressure-thermal bath coupled true triaxial loading and panoramic real-time CT scanning device, belonging to the fields of rock mechanics, oil and gas field development, and tight sandstone gas extraction. It overcomes the problem in existing rock mechanics experimental devices where true triaxial loading, hydraulic loading, thermal bath environment control, and internal structure observation are difficult to achieve in a single space. The device includes an X-ray scanning system, a forward and backward precession loading system, a temperature-controlled liquid circulation system, and a multi-functional pipeline system with signal linkage, forming a multi-field loading control system. This multi-field loading control system is configured to: monitor the rate of change of loading force, hydraulic pressure, and temperature in each loading direction in real time, and dynamically adjust the frequency or scanning mode of the CT scan based on the monitored parameter change rates.

The present application belongs to the technical field of geological engineering, and discloses a rock mass quality CRMR classification method, which comprises the following steps: determining rock block and structural plane data according to field geological survey and indoor rock mechanics test; scoring five indexes based on fitting continuous function, namely uniaxial compressive strength sigma, core quality index RQD, structural plane spacing JS, structural plane opening filling condition Jc and structural plane groundwater condition G; obtaining CRMR score by accumulating the scores of the five indexes; and classifying rock mass quality and estimating rock mass mechanics indexes according to the total CRMR score. The rock mass quality CRMR classification method provided by the present application is an improvement on the traditional rock mass quality RMR classification method, and can greatly improve the accuracy and efficiency of rock mass quality classification and equivalent rock mass mechanics parameter estimation.

This application discloses a lithofacies analysis system and method based on a shale geological-mechanical coupled lithofacies classification system, relating to the field of shale lithofacies analysis. The system construction module determines the geological-mechanical coupled lithofacies classification system based on information data from the data acquisition module; the prediction module determines single-well lithofacies prediction information; the feedback adjustment module adjusts the single-well lithofacies prediction information based on set rock mechanics and geostress parameter ranges to obtain adjusted information; the three-dimensional model construction module uses a genetic algorithm to perform seismic attribute embedding and integrated inversion based on seismic attribute data and adjusted information, and uses a co-kriging method to construct a three-dimensional model of well-seismic co-modeling of geological-mechanical coupled lithofacies; the parameter model determination module uses a layer-control-facies dual-control method to control constraints and determine the heterogeneity of the geological-mechanical characteristics of shale layers in three-dimensional space, providing a basis for establishing production areas for the exploration and development of artificial oil and gas reservoirs.

This invention relates to the field of rock mechanical property testing technology, and in particular to a machine learning method and system for predicting rock shear strength parameters. The method includes the following steps: determining rock shear strength parameter prediction indices and rock shear strength parameters, and establishing a sample database; improving the sparrow search algorithm using an improved Tent chaotic mapping, dynamic adaptive weights, Levy flight strategy, and Cauchy-Gaussian hybrid mutation mechanism; training a Stacking ensemble model using the sample database, and simultaneously optimizing the hyperparameters in the Stacking ensemble model using the improved sparrow search algorithm to obtain a rock shear strength prediction model; using the rock shear strength prediction model to predict rock shear strength parameters, and simultaneously using the SHAP interpretability method to evaluate the contribution of each rock shear strength parameter prediction indices. This invention can achieve high-precision prediction of rock shear strength parameters and effectively avoids the problems of long cycles and high costs in existing rock shear strength testing.

The application provides a diversion tunnel surrounding rock mechanics parameter inversion method and device based on multi-target learning, and the method comprises the following steps: a sampling method containing directional number disturbance low difference sampling sequence is adopted to construct a parameter-response sample data set of the diversion tunnel surrounding rock; a multi-penalty item loss function is used for model training on a multi-target machine learning algorithm to construct a diversion tunnel surrounding rock response multi-output proxy model; the multi-penalty item loss function comprises an observation error item, a time sequence monotonic-stable penalty item and a cross-measurement point collaborative penalty item; the proxy model is used for parameter inversion to generate an optimal mechanics parameter solution; the precision and generalization ability of the surrounding rock mechanics parameter inversion can be significantly improved under the condition of a small sample; the physical consistency of the inversion result is ensured through time sequence monotonic and cross-measurement point collaborative constraints; the method has good noise resistance and asynchronous data robustness, can realize optimal parameter output under multi-target weighting, and forms a closed-loop verification from inversion to numerical review.

The application discloses a fracturing construction diagnosis method and device based on pressure-time double logarithm judgment, electronic equipment and medium. The method can comprise: calculating rock mechanics parameters and minimum horizontal principal stress of different depth reservoirs, and obtaining the minimum horizontal principal stress distribution of the formation; calculating the fluid friction pressure of the same well section with the same fluid physical property parameters by the resistance coefficient method based on the power-law fluid; calculating the bottom hole net pressure according to the wellhead pressure, static liquid column pressure, fluid friction pressure, near wellbore friction and minimum horizontal principal stress; establishing a double logarithm sequence according to the bottom hole net pressure, identifying the fracture propagation mode, and evaluating the fracturing construction effect. The application can improve the accurate evaluation ability of the fracturing effect on site, and realize dynamic optimization and adjustment of the construction process.

This invention relates to the field of electronic digital data processing technology and discloses a method for processing tunnel construction data based on real-time monitoring. The method involves acquiring real-time data from displacement, stress, and micro-vibration sensors; constructing a spatial graph adjacency matrix based on coordinates and rock strata topology; and plotting the dynamic features of nodes in the time series graph. The data is then input into a physically constrained spatiotemporal graph convolutional network. A displacement-stress transmission constraint term based on the elasticity equation is introduced as a weight attenuation penalty factor in the graph convolutional propagation layer to restrict cross-node information transmission in accordance with the laws of surrounding rock mechanics. The dynamic features of the time dimension are extracted through a time-gated cyclic unit, and a tensor data stream is output. This invention restricts weight updates within physical boundaries, eliminates non-physical interference features from spatial aggregation, avoids feature confusion during multi-source data fusion, and overcomes the problem of distorted precursor feature extraction due to a lack of physical constraints. Furthermore, improvements are made to the coupling processing of multi-source heterogeneous data under geological topology, taking into account classification numbers.

This invention relates to an optimized processing method for monitoring surrounding rock displacement during the excavation of a cavern complex. The method includes: determining the rock mass strength parameters and establishing a three-dimensional geological model by combining topographic information of the target area and on-site geological survey data; calculating the corresponding three-dimensional geostress field; determining the approximate range of surrounding rock strength and deformation parameters according to specifications and rock mechanics handbooks based on the surrounding rock category determined by surrounding rock classification and surrounding rock parameters obtained from laboratory tests; calculating the relative deformation of different measurement sections and inverting the optimized surrounding rock parameters using the relative deformation of different measurement sections monitored by multi-point displacement gauges; and verifying the reliability of the inverted surrounding rock parameters by comparing them with the measured relative deformation characteristics of the surrounding rock. The beneficial effects of this invention are: by optimizing the surrounding rock parameters to obtain the excavation response characteristics of the surrounding rock, the on-site monitoring data is corrected and analyzed to correct the multi-point displacement gauge monitoring data, making the monitoring data obtained by the multi-point displacement gauges more accurate.

The application discloses a salt cavern cavity forming process control method for compressed air energy storage, and belongs to the technical field of compressed air energy storage.The application solves the problem that, due to dependence on artificial experience and fixed process parameters, the existing cavity forming control method is difficult to accurately control the three-dimensional form of the cavity when facing a non-homogeneous salt rock stratum, and the problem that local over-dissolution, damage to the sealing property of the cap layer of the cavity top and stress concentration of the cavity wall easily occur, affecting long-term stability.The application builds a salt cavity form dynamic inversion model based on real-time sensing of geological parameters, and combines bidirectional coupling simulation of fluid mechanics and rock mechanics to perform closed-loop adaptive optimization control on water injection displacement, dissolving agent cushion thickness and pipe lifting speed, realizes intelligent transformation of the salt cavern cavity forming process from experience driving to data model driving, improves the cavity forming precision, and significantly enhances the construction economy and operation safety of the gas storage.

This invention discloses a method, apparatus, equipment, and medium for determining reservoir stagnation time, relating to the field of rock mechanics. It includes: determining the stagnation time based on the dip angle of various natural fractures within the target reservoir. β Filter out the tilt angle β Natural fractures within the effective extension range of the target reservoir; selecting multiple representative dip angles of natural fractures within the effective extension range at unit angle intervals, evaluating the minimum shut-in time for each representative dip angle of natural fractures, obtaining a minimum shut-in time set; for each minimum shut-in time in the minimum shut-in time set, determining the cumulative fracture extension ratio corresponding to that minimum shut-in time; based on the cumulative fracture extension ratio corresponding to each minimum shut-in time, determining the relationship between the cumulative fracture extension ratio and time; determining the time when the cumulative fracture extension ratio reaches the target threshold as the optimal shut-in time for the target reservoir, thereby achieving a balance between maximizing production and optimizing economic benefits in natural gas development through "optimal shut-in".

This invention discloses a method for monitoring the surface deformation evolution process of rock undergoing uniaxial compression creep failure, belonging to the field of geotechnical and rock mechanics testing technology. The steps are as follows: Step 1: Set up a test platform, which includes a speckle spraying system, an imaging and illumination module, a test device, and a host computer; Step 2: Fabricate rock test specimens and arrange the imaging and illumination module; Step 3: Obtain the compressive strength and set the graded loading levels; Step 4: Form a white base layer and black speckles on the surface of the rock specimen, meeting the requirements; Step 5: Conduct a uniaxial graded loading creep test on the rock specimen and acquire image data; Step 6: Process the image data to obtain the strain field evolution process on the specimen surface. This invention uses the above method to record the changes of the white base layer and black speckles during compression using an imaging device, thereby obtaining the deformation creep failure characteristics and evolution law of the rock surface.

The application relates to the technical field of cross technology of electric digital data processing and rock mechanics, in particular to a method for characterizing dynamic evolution of multi-scale mechanical properties of bedded shale under water-rock interaction. The method collects multi-source digital test data under different soaking time lengths of different flowback fluids, carries out standardized pretreatment, carries out multi-dimensional correlation analysis on the data, divides water-rock interaction evolution stages, calculates fracturing and fracturing surface fractal characteristics, establishes a quantitative mapping relationship between the fracturing and fracturing surface fractal characteristics and mechanical parameters, constructs a FDEM numerical simulation model considering the spatial distribution of multiple minerals and interface element damage, completes calibration, fuses data to construct a water-rock interaction physicochemical coupling damage model and a dynamic evolution prediction model, and outputs micro and macro mechanical parameters of a target reservoir at any time. The method can accurately characterize the dynamic evolution process of multi-scale mechanical properties of bedded shale, and provides a reliable reference for shale reservoir fracturing construction.

This application discloses a method for backfilling mining of solid potash mines, belonging to the field of mining engineering technology. The method includes: arranging preparatory work; collecting rock mechanics parameters of the potash ore body and determining the mining method design based on these parameters; the rock mechanics parameters include the instantaneous compressive strength of the surrounding rock, the ore body integrity coefficient, and the allowable subsidence of the roof and floor; the mining method design includes mining sequence design, goaf backfilling design, and mining safety factor correction design. This application achieves a balance between mining efficiency and economic efficiency under the premise of safe mining by independently assessing the safety of three main rock mechanics parameters of potash mines and designing the corresponding steps separately based on the independent assessment results. This provides a safe and economical mining process design method for the special geological conditions of potash mines.

This invention relates to the field of rock mechanics and intelligent detection technology, specifically a method and system for predicting rock strength and failure modes. The method includes: obtaining a multi-source feature set based on data acquisition from a rock sample; constructing a feature coefficient prediction model, inputting the multi-source feature set into the feature coefficient prediction model to obtain feature coefficients; filtering the multi-source feature set based on the feature coefficients to obtain an optimal feature subset; constructing a rock strength and failure mode prediction model, and optimizing the hyperparameters of the rock strength and failure mode prediction model using an automated hyperparameter optimization framework; inputting the optimal feature subset into the optimized rock strength and failure mode prediction model to obtain the predicted rock strength value and failure mode. This invention solves the problems of insufficient accuracy and inability to predict rock strength and failure modes simultaneously in existing technologies. Through multi-source data collaborative prediction, the accuracy of the prediction is greatly improved.

The application discloses a method for intelligently modeling rock mechanics properties of a tight sandstone reservoir, comprising the following steps: obtaining three-dimensional seismic interpretation data, well logging data and rock mechanics experiment data; establishing a three-dimensional geological structure model of the tight sandstone reservoir which fuses a fault structure; calculating a quantitative fitting relationship between static rock mechanics parameters and a sand ratio; extracting a lithology factor data body from the three-dimensional seismic interpretation data, discriminating the lithology factor data body, generating a three-dimensional spatial distribution of sandstone and mudstone, and thus obtaining a three-dimensional sand ratio distribution model; and based on the three-dimensional sand ratio distribution model and the quantitative fitting relationship, calculating initial values of rock mechanics parameters of each grid unit, and assigning values to the three-dimensional geological structure model and correcting the fault, so as to obtain a final three-dimensional rock mechanics property model. The application realizes multi-source data fusion and quantitative modeling of fault disturbance, and solves the problems of insufficient description of reservoir heterogeneity, lack of physical basis of the model and low reliability of modeling of a fracture zone in the prior art.

The application relates to a method for calculating in-situ strength while drilling based on well-seismic fusion information, which comprises the following steps: step 1, constructing an initial mechanical parameter calculation model of a formation to be drilled according to well data and seismic data; step 2, obtaining geological mechanics basic parameters of the formation to be drilled in front of a drill bit according to the initial mechanical parameter calculation model; step 3, calculating geological mechanics strength parameters according to the geological mechanics basic parameters; step 4, calculating formation in-situ strength according to the mechanical strength parameters; and step 5, correcting the formation in-situ strength in combination with the well data to obtain in-situ strength while drilling under different working conditions. The application combines seismic data and drilling engineering data to establish a quantitative relationship between rock mechanics parameters and drilling parameters, and realizes rapid acquisition of in-situ strength while drilling under different working conditions in combination with Mohr-Coulomb strength criterion and experimental analysis correction.

The present application relates to the technical field of oil reservoir fracture attribute description, and particularly relates to a fracture attribute fusion method based on fractured low-permeability oil reservoirs. The method comprises the following steps: establishing a fracture intensity model by combining well data with seismic data, establishing a fracture network model according to the fracture intensity model, obtaining a natural fracture attribute volume, fitting to obtain shear wave time difference data, first establishing a density model, a longitudinal wave model and a shear wave model, then establishing a rock mechanics parameter model, establishing an overburden pressure and pore pressure model according to the overburden pressure and the pore pressure of the overlying strata of a single well, establishing a ground stress model and simulating and calculating artificial fracture attribute data according to the rock mechanics parameter model and the overburden pressure and pore pressure model; fusing the artificial fracture attribute data to the natural fracture attribute volume, obtaining a fused fracture attribute volume and establishing a target geological model, and simulating and calculating fracturing artificial fracture parameters. The method provided by the present application fuses the fracture attributes of natural fractures and artificial fractures, and improves the description accuracy of fracture attributes.

This invention provides a method and system for predicting the shear strength of a structural surface under non-uniformly distributed loads, belonging to the field of rock mechanics. The method includes: acquiring the surface roughness parameters of the target structural surface and determining the distribution of the non-uniformly distributed normal loads acting on the structural surface and the magnitude of the average normal stress; establishing a shear analysis model of the structural surface and obtaining shear response data of the structural surface under non-uniformly distributed normal loads; determining the peak shear strength and residual shear strength of the structural surface; constructing a shear strength prediction model of the structural surface and outputting the predicted shear strength results of the structural surface based on the shear strength prediction model. This invention achieves a unified characterization of the actual stress state of the structural surface and a highly consistent prediction of shear strength by simultaneously introducing the surface roughness characteristics and the non-uniformly distributed normal load mechanism during the shear strength prediction process.