2151 results about "Rock sample" patented technology

The invention discloses an intelligent rock weathering detection method based on a multispectral imaging technology, and particularly relates to the field of rock detection.The method comprises the steps that a multispectral imaging device is used for collecting a rock sample image, and then radiometric calibration, geometric correction and image enhancement processing are sequentially conducted on the image. The method comprises the following steps of: preprocessing an image, acquiring spectrum, texture and morphological characteristic parameters from the preprocessed image, collecting samples through a multi-source database, constructing a deep convolutional neural network model, inputting the acquired characteristic parameters into the model to obtain a rock weathering probability vector, judging the weathering degree according to a maximum probability criterion, and outputting a result to a user side. According to the method, multispectral imaging and deep learning technologies are fused, the defects of a traditional detection method are overcome, the rock weathering degree can be detected more accurately and efficiently, nondestructive detection and real-time monitoring are achieved, and the method has important application value in the fields of geological research, engineering construction and the like.

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 discloses a method for determining the lower limit of plugging thickness of a silt rock stratum based on temperature-stress field simulation, which comprises the following steps: judging that the fracture pressure of a shale reservoir is less than the minimum starting pressure of an overlying silt rock stratum, and carrying out the following steps: wrapping the side surface of a roof rock sample with a heat insulation material; arranging heating and stress devices and temperature and strain sensors on the bottom surface of the rock sample, and arranging a plurality of strain sensors on the side surface of the rock sample at set intervals; heating the rock sample by using a heating device until the bottom temperature is the set temperature, applying stress to the bottom of the rock sample from small to large step by step by using a stress device until the set stress, stabilizing the temperature and the stress until the measured values of the sensors are stable, and determining the lowest position where the strain of the rock sample is not higher than the set strain according to the measured values of the sensors; determining the lower limit of top plate plugging thickness according to the distance from the position to the bottom surface; and similarly, determining the bottom plate plugging thickness lower limit. The method can reasonably quantify the lower limit of the plugging thickness of the top and bottom plates of the shale reservoir through joint simulation of the temperature field and the stress field.

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 relates to a rock shear failure whole process prediction method based on acoustic emission monitoring, which comprises the following steps: firstly, collecting a rock sample, processing the rock sample into a plurality of rock test pieces, manufacturing an acoustic emission mold, secondly, installing an acoustic emission test platform, carrying out multiple acoustic emission tests of the rock shear failure whole process by using the acoustic emission test platform, and recording data of the multiple acoustic emission tests, the method comprises the following steps: selecting and calculating calculation parameters of a rock shear failure whole-process prediction model based on experimental data, finally constructing the rock shear failure whole-process prediction model based on an XGBoost algorithm, inputting the calculation parameters of the rock shear failure whole-process prediction method into the model, and outputting a rock shear failure prediction result. According to the method, the stability of the rock mass can be continuously monitored in real time, different stages in the direct shear process of the rock are predicted in a classified mode, and the safety and reliability of rock mass engineering such as tunnel engineering can be improved.

The invention discloses a slope stability evaluation method based on micro-seismic signal double-dominant-frequency mechanism characteristics, and relates to material analysis and application. The method is based on the objective principle that rock acoustic emission dominant frequency characteristics and micro-seismic signal dominant frequency characteristics have consistency and relevance, and the phenomenon of double dominant frequency characteristics existing in acoustic emission tests and micro-seismic monitoring. A rock sample dominant frequency characteristic rule obtained by an acoustic emission test is used for processing micro-seismic signal waveform data obtained by micro-seismic monitoring, so that a dominant frequency characteristic evolution rule of slope rock damage can be obtained through a micro-seismic signal, and the stress condition of the slope rock is more accurately judged based on the dominant frequency characteristic evolution rule; the stability of the slope is evaluated, so that the accuracy of an evaluation result is remarkably improved; the evaluation method combines an acoustic emission test and micro-seismic monitoring, has the advantages of high evaluation accuracy and good universality, and is suitable for large-scale application in monitoring and prevention of geological disasters such as landslide and the like.

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

The invention discloses a method for determining the plugging thickness of a silt rock stratum based on temperature-pressure field simulation, which comprises the following steps: judging that the fracture pressure of a shale reservoir is smaller than the minimum starting pressure of an overlying silt rock stratum, and carrying out the following steps: wrapping the side surface of a roof rock sample by using a heat insulation sealing material; heating and pressurizing devices and temperature and pressure sensors are arranged on the bottom surface of the rock sample, and a plurality of pressure sensors are arranged on the side surface of the rock sample at set intervals; heating the rock sample by using a heating device until the bottom temperature is the set temperature, pressurizing the rock sample by using a pressurizing device until the bottom pressure is the set pressure, stabilizing the temperature and the pressure until the measured values of the sensors are stable, and determining the lowest position where the pressure of the rock sample is not higher than the second set pressure according to the measured values of the sensors; determining the lower limit of top plate plugging thickness according to the distance from the position to the bottom surface; and similarly, determining the bottom plate plugging thickness lower limit. The method can reasonably quantify the lower limit of the plugging thickness of the top and bottom plates of the shale reservoir through joint simulation of the temperature field and the pressure field.

The invention provides a rock damage evaluation method and device, and the method comprises the following steps: carrying out a compression test on a rock sample until the rock sample is damaged; treating the damaged rock sample to obtain a multi-scale damage fractal dimension of the damaged rock sample; based on the multi-scale damage fractal dimension, calculating a weight coefficient of each scale fractal dimension to the damage of the rock sample through an analytic hierarchy process; constructing a multi-scale rock damage evolution fractal model based on the weight coefficient; and evaluating the damage degree of the rock to be measured based on the rock damage evolution fractal model. The defect that the rock damage degree is determined from a single scale is overcome, rock damage can be more comprehensively and accurately quantified, long-term rock damage and stability evolution are effectively predicted, and reference is provided for comprehensively and accurately representing the rock damage degree and long-term evolution.

The invention discloses a mine water recharge reservoir scaling trend prediction, scale removal and permeation enhancement method, and the trend prediction method comprises the steps: carrying out the conventional physicochemical index analysis of the water quality of mine water and a monitoring well according to the hydrogeological information of a recharge reservoir, and calculating the scaling trend of the mine water recharge reservoir based on a Retino index method and the relative saturation R.S. The scaling conditions of carbonate, sulfate and silicate are rapidly judged respectively; when scaling occurs, the ion concentration change on a path is revealed through a Transport module and an Equilibrium Phases module in the PHREEQC software, and verification is carried out through a measured value of a monitoring well; and then according to the mineral dissolution precipitation reaction and the percentage of the reservoir rock sample composition, calculating the reaction dose and the void ratio so as to formulate a mine water recharge reservoir permeation enhancement optimization scheme. According to the method, the scaling trend of the mine water recharge reservoir can be effectively predicted, the recharge process is monitored, and continuous operation of deep well recharge sealing work of mine water is facilitated.

The invention discloses a method for determining the plugging thickness of a complex lithologic layer based on simplified lithologic combination, and the method comprises the steps: determining the vertical superposition relation of a silty rock layer and a shale layer and the total thickness of the silty rock layer and the shale layer according to the lithologic longitudinal distribution characteristics of an overlying stratum; integrally forming and preparing a roof rock sample by combining the properties of siltstone and shale; arranging a plurality of groups of temperature sensors, pressure sensors and strain sensors on the side surface of the rock sample at set intervals; heating the rock sample until the bottom temperature is the set temperature, pressurizing until the bottom pressure is the set pressure, applying stress to the bottom of the rock sample step by step from small to large until the set stress, and stabilizing at the temperature, the pressure and the stress until the measured value of the sensor is stable; determining the lower limit of the roof plugging thickness according to the measured value of each sensor and the up-and-down superposition relationship; and similarly, determining the bottom plate plugging thickness lower limit. According to the method, through simplified lithology and combined simulation of a temperature field, a pressure field and a stress field, the lower limit of the plugging thickness of the shale reservoir complex lithology roof and floor is reasonably quantified.

The invention discloses a method for determining the plugging thickness of a complex lithologic layer based on temperature-pressure field simulation, and the method comprises the steps: determining the vertical superposition relation of a silty rock layer and a shale layer and the total thickness of the silty rock layer and the shale layer according to the lithologic longitudinal distribution characteristics of an overlying stratum in a set range; respectively obtaining formulas for preparing siltstone and shale through experimental fitting; integrally forming and preparing a roof rock sample; arranging multiple groups of temperature sensors and pressure sensors on the side surface of the rock sample at set intervals; heating the rock sample until the bottom temperature is the set temperature, pressurizing the rock sample until the bottom pressure is the set pressure, and stabilizing at the temperature and the pressure until the measured value of the sensor is stable; determining the lower limit of the roof plugging thickness according to the measured value of each sensor and the up-and-down superposition relationship; and similarly, determining the bottom plate plugging thickness lower limit. According to the method, the lower limit of the plugging thickness of the shale reservoir complex lithology top and bottom plates can be reasonably quantified through simplified lithology and joint simulation of a temperature field and a pressure field.

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 present invention describes the development of a laboratory system for testing rock samples with fractures subjected to single-phase flow, using visible fluid and equipment made of material not sensitive to a microtomograph, allowing (i) the quantification of parameters that represent the flow in a fractured medium in the flow simulator and (ii) images that portray the distribution of fluids in the medium, in different injection steps.

The invention discloses a siltstone adjacent layer plugging thickness lower limit determination method of a shale reservoir, which comprises the following steps: judging that the fracture pressure of the shale reservoir is smaller than the minimum starting pressure of an overlying siltstone rock layer, and executing the following steps: arranging heating, pressurizing and stress devices and temperature, pressure and strain sensors on the bottom surface of a roof rock sample; multiple groups of pressure and strain sensors are arranged on the side surface at set intervals; a heating device is used for heating the bottom of a rock sample to a set temperature, a pressurizing device is used for pressurizing the bottom to a first set pressure, a stress device is used for applying stress to the bottom of the rock sample from small to large step by step to a first set stress, and the stress is stable until measured values of all sensors are stable; determining the lowest position where the rock sample pressure is not higher than the second set pressure and the strain is not higher than the set strain according to the measured value of the sensor; determining a roof plugging thickness lower limit; and similarly, determining the bottom plate plugging thickness lower limit. The method can reasonably quantify the lower limit of the top and bottom plate plugging thickness through temperature, pressure and stress field joint simulation.

The invention discloses a rock nanoindentation numerical simulation method based on PFC discrete elements, and relates to an unconventional natural gas reservoir fracturing technology. Comprising the following steps: dynamically loading an iterative matching load-displacement curve based on XRD-SEM-EDS mineral spatial distribution of a rock sample and single mineral nanoindentation experimental data microscopic parameters; in combination with mineral space distribution data, constructing a multi-mineral heterogeneous model by stages, and dynamically loading simulation; based on crack number development, force chain distribution and particle displacement vector characteristics, a regulation and control mechanism of a mineral interface coupling effect and pore stress concentration on a crack propagation path is quantitatively analyzed. According to the invention, a heterogeneity evolution mechanism of force chain development and crack propagation in each stage of loading, load holding and unloading can be analyzed, and a dynamic mechanism that mineral components and pore structures cooperatively regulate and control a crack propagation path and nonlinear load response is disclosed; and a solution path is provided for rock microscopic damage mechanism prediction and heterogeneous material discrete element numerical simulation modeling.

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 compressed air energy storage indoor simulation test device and method, and relates to the technical field of compressed air energy storage. The device comprises a triaxial pressure servo control system, a temperature control system, an air pressure control system and a multi-parameter measurement system, and can cooperatively simulate the real working environment of the underground gas storage. The triaxial system comprises a high-pressure tank body and a loading device and is used for applying triaxial stress to the rock sample; the temperature control system adjusts the temperature of the rock sample; the air pressure system comprises a high-pressure destructive experiment mode and a low-pressure precise simulation mode, the high-pressure destructive experiment mode is used for carrying out a high-pressure test and verifying the critical burial depth under different geological conditions, and the low-pressure precise simulation mode is used for researching the mechanical behavior, the damage mechanism and the leakage mechanism of the gas storage by regulating and controlling the air pressure and the flow and simulating the inflation and deflation process; the multi-parameter measurement system collects rock sample physical response data in real time. Through cooperative work of multiple systems, response characteristics of multiple support sealing systems under different conditions can be accurately reflected, and the system has remarkable simulation precision, experiment efficiency and cost advantages.

The invention provides a new method for calculating the borehole wall collapse pressure of a fractured shale stratum, which comprises the following steps of: 1, preparing an experimental rock sample, and carrying out sound wave characteristic test on bed rock and a fractured rock sample and mechanical experiment test on the rock sample; step 2, calculating an integrity coefficient K upsilon, a geological strength index GSI, a rock mass disturbance coefficient D and a lithology index mi of the rock; 3, a Hoek-Brown strength criterion for evaluating the fractured formation based on sound waves is established; 4, a principal stress expression of the well walls of the inclined well and the horizontal well is obtained through calculation; and 5, establishing a fractured oil shale formation borehole wall collapse pressure calculation model. According to the new method for calculating the well wall collapse pressure of the fractured shale formation, the problem that a conventional homogeneous formation collapse pressure calculation model is not suitable for well wall stability prediction of the fractured shale formation is solved, and a new theoretical basis and technical support are provided for the well wall stability problem in the oil shale exploitation process.

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 discloses a coal rock mass main fracture precursor rock sound information analysis method. The method comprises the following steps: acquiring multiple groups of coal rock samples by adopting a core drilling mode, and processing the coal rock samples to form coal rock standard samples; placing the coal rock standard sample in a loading control system, and receiving an acoustic emission signal in the loading process of the coal rock standard sample through loading of a servo hydraulic machine; extracting a plurality of main frequency characteristic frequency bands in the received acoustic emission signal; analyzing each extracted main frequency characteristic frequency band to obtain the change rate of each main frequency characteristic frequency band; and according to the change rate of each main frequency characteristic frequency band, carrying out early warning grade division on the main fracture of the coal and rock mass. By means of the method, the problems that the sound emission impact number and energy are always located at high values due to mixing of multiple main frequencies, and the report rate is reduced are solved, meanwhile, early warning is conducted according to the main frequency characteristic frequency bands, and the sound emission early warning effect is further improved.

The invention discloses a method for evaluating the mineralization potential of porphyry copper-(gold-molybdenum) ore. The evaluation method comprises the following steps: determining candidate rock masses with relatively high mineralization potential according to an oxygen fugacity value of magma zircon and / or a magma water content value of hornblende in a rock sample in an evaluation area; the aluminum saturation index ASI of the candidate rock mass is measured and calculated, the distribution coefficient and the distribution coefficient ratio of Cu, Au and Mo between fluid and melt are determined according to the ASI, simulation calculation is conducted through a Rayleigh fractionation model according to the distribution coefficient and / or the distribution coefficient ratio, and the content ratio of Au to Cu to Mo to Cu of the candidate ore body is obtained. According to the method, the mineralization potential of the porphyry copper ore and the enrichment degree and grade of Cu, Au and Mo of potential ore bodies can be rapidly and accurately evaluated.

The invention relates to an accurate and intelligent identification method for lithology of surrounding rock of underground engineering, and belongs to the technical field of lithology identification. The method comprises the following steps: S1, preparing a rock test piece: synthesizing a rock sample through field sampling or artificial simulation, and preparing the test piece meeting experimental requirements; s2, an indoor drilling experiment is conducted, and drilling parameters are collected; s3, performing a borehole peeping experiment and storing a peeping image as a data set; s4, carrying out data preprocessing and fusion; s5, carrying out machine learning model training: selecting a graph neural network to carry out training and lithology classification identification; s6, evaluating and verifying the machine learning model; and S7, performing field optimization and application. According to the method, the advantages of the drilling peeping technology and the machine learning technology are combined, the drilling parameters are obtained based on the indoor drilling experiment, the drilling image is obtained through drilling peeping, and accurate and intelligent lithology identification is achieved by coupling data of the drilling image and the drilling parameters.

The invention discloses a method for analyzing a sedimentary basin object source based on the detrital zircon age, and belongs to the field of analysis and detection, and the method comprises the following steps: S1, uniformly sampling in a known well and a potential object source area of a target layer to obtain a rock sample; s2, slicing the obtained rock sample to obtain a plurality of common slice samples and casting body slice samples, then performing component identification on slices, and analyzing identification results; s3, performing statistics on sandstone debris components of the Benxi group sample in the research area, and drawing a lithologic triangular diagram; s4, drawing a Qt-F-L diagram according to the debris component data of the research area; s5, representative samples in the research area are selected for heavy mineral analysis; s6, selecting representative samples in the research area, and measuring major elements and rare earth elements in the representative samples to analyze the material source supply condition of the research area; s7, performing U-Pb chronological characteristic analysis on the fragment zircon of the sample; and S8, performing U-Pb dating analysis on the fragment zircon of the sample.

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.

The invention relates to the technical field of rock sample oil-water saturation determination based on a nuclear magnetic technology, and provides a shale sample oil-water saturation intelligent determination method based on a two-dimensional nuclear magnetic technology, and the method comprises the following steps: collecting volumes, echo signals and signal-to-noise ratios of a preset number of rock samples; marking a target rock sample and a comparison rock sample, and determining a volume influence comprehensive interference degree and a noise amplification coefficient of a target echo signal; obtaining a denoised target echo signal according to the target echo signal, the volume of the rock sample corresponding to the target echo signal and the noise amplification coefficient of the echo signal; according to experiments of rock sample two-dimensional nuclear magnetic oil-water distribution, pore attributes and the like, a two-dimensional nuclear magnetic T1-T2 map is divided into an invalid pore area and an effective pore area of a rock sample corresponding to the two-dimensional nuclear magnetic T1-T2 map and an oil-water distribution area of the effective pore area, a fluid close to reservoir oil-water distribution is adopted to recover a two-dimensional nuclear magnetic spectrum of the rock sample, and the oil-water content corresponding to a nuclear magnetic signal is extracted; and obtaining a rock sample oil-water saturation determination result based on the nuclear magnetic technology.

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.

A rock sample holder, an x-ray system, and methods are disclosed. The rock sample holder may include a body having a cavity extending from a first end of the body to a first position along a longitudinal axis. The first end of the body is open. The body comprises a radiolucent material. A slit is formed through a side wall portion of the body such that the slit extends from the first end to a second position on the side wall portion between the first end and the second end. The rock sample holder may further include a base attached to a second end of the body and a cushion disposed within the cavity proximate to the first position. The body and the cushion form a rock sample chamber within the cavity.