1311 results about "Rock sample" patented technology

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 present invention relates to the field of rock structure measurement, and disclosed are a three-dimensional pore reconstruction method and system based on a rock image, for use in solving the problem that using a machine learning method to reconstruct pores in a rock image requires relatively high mathematical or computer science expertise, involves high labor and economic costs, and is difficult to apply to small-scale rock pore reconstruction projects. The method comprises: step 1: grouping slice images of each rock sample into one set, and performing preprocessing; step 2: performing grayscale processing, histogram equalization and normalization processing on an image; step 3: using a Harris corner detection algorithm to perform corner detection, sorting Harris response values, selecting key points by setting the number of key points, and using a non-maximum suppression method to screen the selected key points; step 4: segmenting the boundaries of pores in the image by means of an adaptive threshold selection method, and extracting pore features; and step 5: using a marching cubes algorithm to construct a three-dimensional pore reconstruction model. The present invention is used for three-dimensional reconstruction of pores in a rock image.

The invention discloses a method and a system for predicting the lumpiness of open-air throwing blasting, and relates to the technical field of rock blasting engineering. The invention discloses a new calculation relation about a lumpiness similarity proportion, relates to the technical field of open-air loose blasting mining, and can predict blasting lumpiness of projects such as mines, tunnels and the like by scaling a lumpiness distribution proportion. The method comprises the following steps: firstly, acquiring a rock sample from a blasting site, measuring parameters such as rock density and fracture toughness, and acquiring blasting parameter information of a to-be-blasted area; and then, a numerical simulation model under an open-air throwing blasting similar material is constructed by using a numerical simulation method, the change rule of blasting fragmentation lumpiness along with explosive unit consumption in a scale model test is studied, and the blasting lumpiness in a field blasting area is predicted according to the blasting lumpiness similarity ratio. According to the method, the change rule along with the unit consumption of the explosive is analyzed, the utilization rate of crushing energy of the explosive in surface blasting engineering is improved, reference is provided for blasting lumpiness control, and prediction of field blasting lumpiness before blasting is achieved.

The invention belongs to the technical field of mineral resource exploration, and provides a multi-source remote sensing data and AI combined copper ore exploration method and system, and the method comprises the following steps: obtaining multi-source remote sensing data of a target region through a plurality of remote sensing devices; preprocessing the multi-source remote sensing data to obtain fusion data; the fusion data are analyzed through an AI algorithm, and mineralization alteration areas and geological structure information are obtained through recognition; performing overlay analysis on the mineralization alteration area and the known geochemical anomaly area, analyzing the spatial relationship between the mineralization area and the structure in combination with the geological structure information, and judging the favorable mineralization part of the copper ore to obtain an analysis result; performing field investigation on the potential copper ore area determined by the analysis result, collecting rock samples for laboratory analysis, and verifying the accuracy of the analysis result; according to the method, the multi-source remote sensing data and the AI technology are comprehensively utilized, the target area is rapidly analyzed, the potential copper ore area is positioned, the workload of blind exploration is reduced, and the exploration efficiency is improved.

The invention discloses a rock damage assessment method fusing wave velocity and microscopic fracture, and belongs to the technical field of rock damage assessment, and the rock damage assessment method comprises the following steps: arranging a wave velocity testing device on a rock sample, and respectively making an unloaded rock sample and a damaged snapshot rock sample under different stress loading; microcosmic fracture information of the damaged snapshot rock sample is identified, a three-dimensional wave velocity model of the damaged rock sample under different stress loads based on a wave velocity test is constructed, and then a macro-micro scale fusion multi-dimensional data set is constructed; based on the macro-micro scale fusion multi-dimensional data set, constructing and training a rock damage identification model; and inputting the characteristic parameters of the rock sample to be evaluated into the rock damage identification model, identifying the damage distribution characteristics of the rock sample on the spatial scale, and evaluating the rock damage degree. According to the method, accurate prediction and evolution process evaluation of the rock damage degree and spatial distribution can be realized, and a reliable technical means is provided for disaster early warning, stability evaluation and risk prevention and control in complex rock mass projects such as deep mines and tunnels.

The invention discloses an underground space surrounding rock excavation damage area testing method, which belongs to the technical field of rock mass damage testing, and comprises the following steps: sampling rocks with different depths, carrying out ultrasonic testing, and determining rock sample attenuation characteristics and wave velocity; determining a comprehensive damage index range of the rock samples with different damage grades; then, sensors are arranged in the excavation process to collect ultrasonic and acoustic emission data; then, an initial calculation model is constructed, and a surrounding rock three-dimensional wave velocity model is obtained through inversion of collected data; and finally, determining a damage grade according to the comprehensive damage index, and marking in the model to realize damage area testing. According to the method, the mapping relation between the damage degree and the wave velocity change is established, the comprehensive damage index range threshold value of different subareas is provided, quantitative and gradable classification is achieved, the three-dimensional wave velocity model is inversed based on test and monitoring data, and three-dimensional presentation and grading labeling of the damage area are achieved.

The invention discloses a deep well rock mass instability failure time accurate forecasting and early warning system, and relates to the technical field of deep well rock mass failure early warning, and the deep well rock mass instability failure time accurate forecasting and early warning system comprises the following steps: collecting a plurality of deep well rock samples to carry out a uniaxial compression experiment, and collecting acoustic emission signals in real time based on an acoustic emission sensor to obtain original acoustic emission signal data; carrying out self-adaptive preprocessing, and carrying out data classification and integration to obtain rock sample acoustic emission parameter data; constructing an original damage forecasting model, and performing model training and verification optimization based on the rock sample acoustic emission parameter data to obtain a rock damage forecasting model; collecting an acoustic emission signal of the deep well rock mass, and predicting the instability failure time of the deep well rock mass in real time based on the rock failure forecasting model; the method is used for solving the problems that when an existing deep well rock mass damage early warning technology carries out early warning on rock mass instability damage through acoustic emission monitoring, single or few characteristic parameters are manually processed and analyzed, and the early warning reliability and timeliness are not high.

The invention provides a high and low temperature true triaxial fracturing, seepage and microscopic monitoring experiment system and method. The system comprises a three-dimensional model and a reaction kettle module, the triaxial stress loading module is arranged at the bottom and the periphery of the cavity of the three-dimensional model and reaction kettle module; a fracturing module; a temperature control module; and a crack monitoring module. Through internal and external integral temperature control, large-range temperature adjustment and stable control of-15 DEG C to 130 DEG C are realized; monitoring points such as acoustic emission, resistivity and the like are carried to explain and analyze the dynamic change rule of the crack in real time; through the innovative structural design of the device, the functions of kettle body sealing, high-stress-difference triaxial synchronous loading, radial uniform seepage and the like are achieved, the experimental requirements of hydrate in-situ generation and decomposition, large-size rock sample saturation, high-stress-difference fracturing experiments and the like are met, the true-triaxial large-physical-model experimental application scene is expanded, and the experimental efficiency is improved. And technical support is provided for fracturing transformation process optimization, scheme design and the like of unconventional oil and gas resources such as deep shale gas and hydrates.

Provided are a thermal-hydrological-mechanical-chemical coupling exploitation experimental device for a deep oil and gas reservoir, and a simulation system. The device includes a loading bin, a sample holding bin, a true triaxial pressure loading mechanism arranged on the loading bin, a temperature control system arranged on the true triaxial pressure loading mechanism, and a monitoring system having a detection element arranged in the rock sample and the sample holding bin. A sample entry port is formed in one side surface of the loading bin. The sample holding bin has one end slidably arranged in the sample entry port, can be sealed and connected with the sample entry port, and is configured for placing and fixing a rock sample. Multiple through holes are uniformly formed on an outer end cover of the sample holding bin and are configured for detecting and adding water, gas, and oil.

The invention provides a bedding structure rock finite element model reconstruction method based on a rock core digital image, and belongs to the technical field of digital rock cores, and the method comprises the following steps: S1, obtaining a gray level image of a rock sample; s2, calculating a transverse mean value of the analysis area to obtain a longitudinal gray level distribution curve; s3, applying moving average filtering and smooth filtering to obtain a smooth gray curve; s4, first-order difference is carried out on the smooth gray level curve, the position with the absolute difference value larger than a threshold value is taken as an initial stripe boundary candidate, and starting and stopping pixels, the width and the average gray level of each stripe are determined; s5, mapping each clustering label interval into a physical interval based on FEM grid partition; and S6, constructing a sample finite element model, and generating a reconstructed finite element model with real partition information. According to the method, the macrostructure features of the rock can be efficiently recognized and extracted by directly utilizing the pictures and combining gray profile analysis, and efficient and low-cost reconstruction of the finite element model of the bedding structure rock is achieved.

The invention relates to the technical field of underground engineering and pipe jacking construction, in particular to a large-diameter long-distance reservoir crossing rock pipe jacking design method. The method comprises the following steps: collecting parameters of a hard rock sample, and carrying out rock mass-underground water coupling stress field modeling to obtain a rock mass-underground water stress field distribution diagram; calculating a rock-water stress field density coefficient according to the rock mass-groundwater stress field distribution diagram; performing multi-parameter crossing path planning according to the rock-water stress field density coefficient to obtain a crossing path scheme set; calculating a path crossing resistance index according to the crossing path scheme set; determining an optimized crossing path scheme according to the path crossing resistance index; and performing segmented jacking force dynamic analysis according to the optimized crossing path scheme to obtain segmented resistance characteristics and a jacking configuration parameter scheme. According to the method, safe and efficient implementation of large-diameter long-distance reservoir crossing rock pipe jacking engineering is achieved by combining rock mass characteristic analysis, path optimization planning and jacking force dynamic control.

The invention belongs to the technical field of mechanical property testing, and particularly discloses and provides a coal rock sample mechanical property intelligent testing system and method.The coal rock sample mechanical property intelligent testing system comprises a consistency verification module, a test piece dividing module, a density testing module, a triaxial testing module and a report generating module; standardized screening is carried out on the size, morphology and structural integrity of the test piece, physical characteristics are ensured to be unified, individual difference interference is avoided, then density and triaxial testing are integrated, density, triaxial compressive strength and shear strength parameters are synchronously obtained, a multi-dimensional data system is constructed, the problem that in the prior art, parameters are single is solved, and the test efficiency is improved. The method comprehensively supports comprehensive evaluation of coal rock mechanical properties, and meanwhile, by outputting a structured report containing a measured value, an adaptive threshold value, a judgment result and an unqualified item and clearly marking the unqualified item, the limitation that manual secondary processing is needed in the prior art is solved, seamless connection of testing, evaluation and engineering application is achieved, and the engineering application value is improved.

Disclosed is a physical simulation experiment system for vapor-liquid multiphase seepage in an underground gas storage facility in a depleted gas reservoir, including: a rock sample sealing, heating, and insulation system, a triaxial stress and confining pressure loading system, an oil-gas-water injection and pore pressure supply system, a vapor-liquid-solid three-phase separation and measurement system, an optical micro / nanofiber gas detection and monitoring system, a distributed fiber optic sensing system, and a gas supply and leakage alarm system, where the rock sample sealing, heating, and insulation system is used for accommodating and heating a rock sample; and the oil-gas-water injection and pore pressure supply system performs oil-gas-water injection into the rock sample and pore pressure maintenance. The present application aims to overcome the bottleneck problem of evaluating the dynamic sealing integrity of underground gas storage under alternating loads caused by injection and withdrawal.

The invention provides a method for analyzing the dynamic stability of a slope containing a mining cavern group under the action of dynamic and static loads, and belongs to the technical field of analysis of the dynamic stability of the slope containing the mining cavern group. In order to solve the technical problem that complex mechanical behaviors of a slope containing a mining cave group under the dynamic and static load coupling effect are difficult to accurately consider because most of existing slope stability analysis aims at single static load or dynamic load working conditions, the technical scheme adopted by the invention comprises the following steps: collecting end slope mining coal pillars and rock samples of rock stratums overlying the end slope mining coal pillars, and testing physical and mechanical parameters of the rock samples; the physical and mechanical parameters of all the rock stratums are finally selected in combination with related production materials of the mining area; calculating a shear strength parameter of the rock mass after the rock is damaged under the action of cyclic blasting vibration; calculating shear strength parameters of the end slope mining area-evolved weak layer under the action of blasting vibration; the stability of the slope containing the mining cavern group under the blasting vibration effect is calculated; the method is applied to the stability analysis of the power of the slope containing the mining cavern group.

The invention discloses a quantitative evaluation method for complexity of shale oil and gas horizontal well reservoir reconstruction cracks, which comprises the following steps: determining a crack development strength factor representing reservoir inherent crack development potential by calculating a mineral heterogeneous coefficient based on rock sample mineral component data at each perforation cluster position in a target fracturing section; determining the optimal fracture length by combining reservoir numerical simulation, determining the total fracturing fluid amount, performing non-uniform distribution according to the heterogeneity of each cluster, and determining a fracture propagation complexity factor representing the dynamic propagation complexity of the hydraulic fracture; weighting the two factors to obtain a crack complexity index for comprehensively evaluating the reservoir transformation effect, and performing grading; according to the method, static geological evaluation and dynamic engineering evaluation are combined, quantification of inter-cluster transformation differences is achieved, the defects that a traditional method is one-sided in evaluation and low in precision are overcome, and a reliable quantitative basis is provided for optimal design of a shale oil and gas reservoir fracturing scheme and accurate evaluation of the transformation effect.

The invention discloses a machine vision-based automatic identification and calculation method for pore change of a rock section under an SEM (scanning electron microscope), and the method comprises the steps: obtaining original image data of the rock section through a scanning electron microscope, transmitting the original image data to a machine vision SEM pore intelligent quantification cloud platform, and dividing the original image data into a plurality of image sub-regions which are not overlapped with each other; calling a special threshold inversion model to analyze the gray information of each sub-region, and determining a dual-phase pore segmentation threshold; carrying out edge extraction on the sub-regions after threshold processing by adopting a pore edge gradient enhancement algorithm; performing topological structure analysis on the intermediate image data by using a biphase pore topological inversion model, constructing and optimizing a pore space topological network, and eliminating false pore structure data; and according to the optimized pore space topology network, integrating calculation results of all the sub-regions to obtain a pore change identification calculation result of the whole rock section. The method improves the pore identification precision and processing efficiency, and adapts to different types of rock samples.

The invention provides an in-situ real-time monitoring method and system for a rock microscopic fracture mechanism and stress evolution. The method comprises the following steps: S1, standardized preparation and pretreatment of a rock sample; s2, in-situ loading and multi-modal data synchronous acquisition are carried out; s3, crack dynamic tracking and stress-strain field joint calculation; s4, constructing a microscopic-macroscopic quantitative correlation and damage model; and S5, performing multi-dimensional dynamic visualization and engineering output. The in-situ scanning electron microscope and the mechanical loading device are integrated, so that cross-scale synchronous monitoring and quantitative analysis of micro crack evolution and macroscopic stress-strain response are realized. A low-disturbance clamping device and a conductive anti-charge sample are treated, and in-situ testing is ensured; combining DIC and deep learning to quantify a crack propagation path, a local strain field and energy characteristics; through DIC strain inversion and finite element calculation, a non-contact stress cloud picture is generated in real time, and finally quantitative correlation between a microscopic fracture mechanism and macromechanical response is established.

The invention discloses a roadway roof damage time prediction method and system, and belongs to the technical field of mine rock mechanics and safety engineering. Comprising the following steps: recognizing a roof rock stratum structure and lithology of each layer through drilling peeping, and drilling a representative rock sample; determining the crack initiation strength and peak strength of the rock sample through a uniaxial compression test; selecting a plurality of stress levels between the axial strain and the acoustic emission signal to carry out a creep test, synchronously monitoring the axial strain and the acoustic emission signal, and determining an accelerated creep starting moment as the damage time under the stress according to the abrupt change characteristics of the axial strain and the acoustic emission signal; establishing a stress-failure time relation model of each lithology; finally, selecting a corresponding model to predict the damage time of rocks at different layers of the roof according to the actual rock stratum structure and ground stress state of the roadway; according to the method, accurate and reliable time prediction of the progressive damage process of the roadway roof is realized.

The invention belongs to the technical field of testing, and particularly discloses a comprehensive evaluation method for rock damage and fracture acoustic emission events. The method comprises the following steps: collecting an acoustic emission full-waveform signal released by a rock sample in a damage and fracture process, and separating an independent acoustic emission event from a full waveform by utilizing peak identification time, impact identification time and impact locking time; respectively extracting a time domain characteristic parameter and a frequency domain spectrum parameter for each independent event; entropy weight quantitative analysis is carried out on various extracted parameters based on an information entropy theory, and a comprehensive evaluation index of the acoustic emission event is constructed on the basis. According to the method, synchronous extraction and fusion of multiple time domain and frequency domain parameters of the acoustic emission event are realized, objective weight distribution is performed in combination with an information entropy theory, and a rock damage and fracture comprehensive evaluation index capable of comprehensively representing global features of the acoustic emission event is established. The limitation that a traditional method only depends on single time domain or frequency domain parameter analysis is effectively solved.

The embodiment of the invention provides a monitoring device and method for strain transmission from a crack to an optical fiber in a fracturing experiment, and belongs to the technical field of experimental physical simulation. In the device, a pressure medium injection module injects fracturing fluid into a sealed liquid injection shaft arranged on a rock sample until a fracturing crack generated by the rock sample meets the fracturing experiment purpose; the triaxial pressurization module applies confining pressure conforming to the stress condition of the experimental object to the rock sample; and the data processing module receives and processes the optical fiber strain signal acquired by the optical fiber so as to invert the transmission characteristics of the optical fiber strain in the fracturing experiment. Wherein the rock sample is provided with a plurality of penetrating holes; the optical fiber is wound around the rock sample along two or more of the plurality of through holes to acquire the optical fiber strain signal. The device can accurately position the three-dimensional expansion direction and the inclination angle of the crack in the fracturing process, so that researchers are helped to finely analyze a theoretical model of crack stress transfer.

Methods and systems are provided for predicting thermal properties of a subsurface rock formation. A training dataset is derived from petrophysical properties of a plurality of formation rock samples and thermal properties of the plurality of formation rock samples. The training dataset is used to train a machine learning model that predicts label data representing the predefined set of thermal properties given input data representing the predefined set of petrophysical properties of an arbitrary formation rock sample. The machine learning model can be validated and deployed for use in predicting thermal properties of subsurface rock formations.

The invention relates to a rock rough interface nonlinear seepage visualization test device and method. The device is characterized in that a fissure surface digitalization module generates a digitalized fissure model by obtaining natural rock sample fissure three-dimensional point cloud data through noise reduction, feature extraction and parametric modeling; the crack test piece preparation module is used for preparing a photosensitive resin crack test piece by adopting photocuring 3D printing based on the digital crack model, and then carrying out surface silicon dioxide nanoparticle spraying treatment to obtain the crack test piece; the multi-field flow field acquisition module is used for acquiring flow field information of the crack test piece by applying a microscopic flow field visualization measurement technology; and the seepage modeling analysis module identifies a seepage interface and extracts a dominant flow path based on the flow field information, and fits a nonlinear seepage curve in combination with a Forchhe immer equation to finally obtain a three-dimensional correlation model representing fracture seepage characteristics. The device can accurately reproduce the physical characteristics and seepage environment of the natural rough fracture, and effectively capture the nonlinear seepage rule under the multi-field coupling condition.

The invention discloses a carbon dioxide seepage dominant channel judgment and permeation enhancement effect evaluation method and system, and the method comprises the following steps: obtaining three-dimensional image data through the three-dimensional CT scanning of a rock sample before and after a CO2 mineralization storage experiment reaction, extracting a crack network as a topological structure center line skeleton, calculating the topological indexes of a network structure, and calculating the permeability enhancement effect of the network structure; a fracture network topological structure model constructed based on a graph theory is coupled with a discrete fracture network model for CO2 flow simulation, an equivalent permeability tensor is obtained, an improved Dijkstra shortest path algorithm is adopted, spatial distribution of CO2 seepage dominant channels is obtained, dominant channel characteristics before and after transformation are compared with the equivalent permeability tensor, the seepage enhancement effect is quantitatively evaluated, and the CO2 seepage enhancement effect is obtained. And changing injection conditions to perform multi-group simulation under different working conditions, calculating the seepage enhancement effect and the mineralization reaction rate under different injection conditions, establishing a quantitative evaluation model of the mineralization sealing permeation enhancement effect, and realizing sealing effect prediction and seepage enhancement effect evaluation.

The application discloses a lithology identification method, device and system based on a vibration signal and a storage medium. The method comprises the following steps: acquiring a vibration signal sample of a drill bit when the drill bit is used to drill a rock sample in a work area, and extracting a signal characteristic parameter from the vibration signal sample; establishing a probability distribution relationship model between the lithology of the rock sample and the signal characteristic parameter of the vibration signal of the drill bit according to a corresponding relationship between the lithology of the rock sample and the signal characteristic parameter of the vibration signal sample; acquiring a vibration signal generated when the drill bit breaks the rock during drilling in the work area, and extracting a signal characteristic parameter from the vibration signal; and according to the signal characteristic parameter of the vibration signal, the lithology of the stratum in the work area drilled by the drill bit is inferred by using the probability distribution relationship model between the lithology of the rock in the work area and the signal characteristic parameter of the vibration signal of the drill bit.

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 discloses a construction method of a synthetic rock mass digital model containing a three-dimensional master control fracture, and belongs to the technical field of rock mass numerical simulation. The method comprises the following steps: collecting a complete rock mass and a crack-containing rock sample on site, and preparing a coal rock sample; reconstructing a rock core through CT (Computed Tomography) scanning and Avizo software, and segmenting a mineral matrix and fractures; based on a Fisher statistical distribution method, performing standardization processing on the orientation characteristic parameters of the three-dimensional fracture of the rock; carrying out grouping and dominance analysis on the fractures; the method comprises the following steps: carrying out coal sample fracture analogue simulation by adopting a DFN in software 3DEC, and generating a DFN-Voronoi block model; a DFN-Voronoi SRM model is manufactured; carrying out a compression experiment on the model to monitor stress and strain; and carrying out DFN-Voronoi SRM model parameter sensitivity analysis based on a single-factor experimental method, and proposing a parameter calibration method. According to the method, the mechanical property and the dominant fracture group of the rock sample are considered, and a parameter acquisition and calibration method of the model is completely given in the aspect of model calibration; fracture network construction and model synthesis are optimized, and DFN-Voronoi SRM model parameter sensitivity analysis and calibration are summarized.

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 discloses a method and a system for improving carbon dioxide mineralization and storage efficiency. The method comprises the following steps: building a microfluidic experiment platform integrated with an online CO2 mineralization and storage monitoring system; on a microfluidic experimental platform, simulating a formation temperature and pressure condition to carry out a CO2 mineralization corrosion experiment to obtain pore scale reaction kinetic parameters and a pore structure evolution rule; macromineralization efficiency data are obtained through an indoor physical simulation mineralization reaction experiment of the core scale; a CCM-GEM reaction flow numerical model is constructed; determining a Pareto optimal solution set by using a CMG-GEM reaction flow numerical model; and based on the pore scale reaction kinetic parameters, the pore structure evolution law, the macromineralization efficiency data and the Pareto optimal solution set, determining a CO2 mineralization storage efficiency improvement path of the target rock sample. According to the method, global sensitivity analysis and automatic optimization of multiple parameters are rapidly completed, the research and development period is shortened, the economic cost and the time cost are reduced, and the research efficiency is improved.

The invention provides a three-axis six-direction impact test simulation method and system based on an F-DEM, and the method comprises the steps: building a full-size model frame, coupling the F-DEM, carrying out the dynamic solving of a model, and carrying out the post-processing of automatic data. The invention further provides a triaxial six-direction impact test simulation system based on the F-DEM, a three-dimensional full-scale numerical model is established based on basic parameters of a waveguide rod and a rock sample in a TEHB test system, and the three-dimensional full-scale numerical model comprises a discrete element rock sample model and a finite element waveguide rod model. According to the method, efficient coupling modeling of the finite element waveguide rod and the discrete element rock sample is achieved, the method has good stress wave propagation precision, the dynamic response behavior of the rock sample under triaxial six-direction loading can be accurately simulated, and efficient and verifiable technical support is provided for impact response analysis and engineering application research of the rock mass in a complex stress environment.

The invention provides a high-precision space positioning method and device considering rock anisotropy degradation sound signals, and relates to the technical field of geotechnical engineering. Aiming at the problems of heterogeneity of a rock mass structure and anisotropy in acoustic signal propagation in the prior art, a novel wave velocity attenuation model considering initial wave velocity anisotropy and anisotropy fracture process evolution is provided, so that more accurate acoustic emission space positioning is realized. According to the method, an acoustic emission sensor is arranged on a rock sample, seismic source waveform data are collected, a total stress-strain curve is obtained through a true triaxial experiment, and a function model of damage and wave velocity is established. And through an optimization algorithm, constructing a seismic source positioning objective function and carrying out iteration, and finally determining the position of a seismic source. According to the method, the energy and the damage mechanism of the acoustic emission signal can be analyzed, and the high-precision quantitative characterization of the damage position, the micromechanism and the released energy in the anisotropic rock mass fracture process is realized.