902 results about "Rock core" patented technology

The invention relates to the field of digital core modeling, in particular to a stomatal basalt three-dimensional digital core reconstruction method, which comprises the following steps: extracting target characteristic parameters from CT (Computed Tomography) scanning gray volume data of a stomatal basalt sample, the target characteristic parameters comprising porosity, cluster number, cluster size statistics, spatial uniformity index and simplified compactness; generating an initial three-dimensional digital core model according to the target characteristic parameters; carrying out iterative optimization on the initial three-dimensional digital core model by utilizing a self-adaptive Markov chain-Monte Carlo algorithm so as to enable cluster features of the optimized three-dimensional digital core model to approach target feature parameters; and performing curvature smoothing post-processing on the optimized three-dimensional digital core model to obtain the pore basalt three-dimensional digital core model. The model not only is highly matched with real pore basalt in the aspect of macroscopic statistical characteristics, but also shows natural and smooth curved surface characteristics in the aspect of microscopic pore boundary morphology, and provides a reliable digital basis for subsequent rock physical property analysis.

The invention provides a core photograph automatic correction and cutting method based on YOLOv8-seg and perspective transformation, and belongs to the technical field of image processing, and the method comprises the steps: S1, collecting a core box image; s2, polygonal point sequence labeling; s3, obtaining an optimal segmentation model; and S4, cutting. Aiming at the problems of much manual intervention, low efficiency and poor adaptability in the existing core photograph processing, the invention provides a set of full-automatic end-to-end solution without preprocessing, realizes rapid and stable correction and cutting of the core photograph in a complex scene, relieves the mechanical labor burden of geological personnel, focuses on the core exploration work, and improves the core exploration efficiency. And the practical application requirements of large-scale geological exploration projects are met.

The invention relates to the technical field of oil field reservoir research, in particular to a fracturing fracture imaging physical simulation method and system combined with non-uniform contact electrodes, and the method comprises the steps: carrying out the resistance modal detection at the current time step through a low-frequency excitation signal in the fracture propagation simulation process, and obtaining a corresponding electric signal; obtaining a conductive fluid distribution result of the rock core fracturing test piece at the current time step by using the conductive fluid distribution inversion model; and fitting and comparing the electric field distribution result of the current time step with the conductive fluid distribution result of the current time step, and outputting the fracture parameters and the conductive fluid distribution result of the rock core fracturing test piece at the current time step based on the fitting and comparison result. According to the method, the electrical property change caused by the natural fracture and the fluid contained in the natural fracture is directly sensed in situ, the electrical signal is acquired, the response delay is reduced, the conductive fluid distribution inversion model is constructed by combining prior knowledge and deep learning, and the precision and reliability of conductive fluid distribution inversion are effectively improved.

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

The invention discloses a method and system for evaluating rock drillability in real time, and the method comprises the steps: determining a well section with logging data and element logging data at the same time in a target area, and obtaining a rock drillability grade value through the logging data; selecting element types conforming to geological characteristics of a current target area from the element logging data to form optimal element combination data of a corresponding stratum matched with the optimal element types, and based on the optimal element combination data, performing data fitting on a preset multiple regression model in combination with rock drillability levels to obtain a drillability level calculation model; the current drillability grade value calculation model is corrected by utilizing a rock core taken from a target stratum to obtain an experimental rock drillability grade value; and optimal element combination data of a target stratum is obtained in real time in the drilling process, and a dynamic rock drillability grade value is obtained by using the corrected drillability grade value calculation model, so that a rock drillability real-time evaluation result is obtained. According to the invention, real-time evaluation of the drillability of the rock is realized.

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 relates to a thermochemical energy-storage heat-preservation coring device and method for oil and gas coring, magnesium sulfate heptahydrate is preset in an interlayer of a heat-preservation cylinder of the coring device, the underground temperature is stored by utilizing dehydration and heat absorption of the magnesium sulfate heptahydrate, and then the stored heat energy is released by utilizing water absorption and heat release of the magnesium sulfate to carry out core heat preservation. The thermochemical energy storage thermal insulation structure comprises a thermal insulation cylinder and a thermal insulation trigger device, wherein a thermochemical energy storage material and reactant water are placed in an interlayer in the thermal insulation cylinder; the heat preservation trigger device comprises a trigger probe, a self-trigger and a trigger spring. The underground temperature is stored through dehydration and heat absorption of the magnesium sulfate heptahydrate, the stored heat energy is released through water absorption and heat release of the magnesium sulfate for rock core heat preservation, and extra energy supply is not needed; meanwhile, the magnesium sulfate heptahydrate is non-toxic and stable in property, can store different heat in different temperature stages, and is suitable for heat preservation coring of different reservoir depths.

The invention discloses a multi-dimensional comprehensive evaluation method for permeability resistance of overlying strata of a working face, and belongs to the technical field of mine engineering and geological safety evaluation. 12 types of core factors such as rock strength, rock core quality, physical and mechanical properties of rock mass, hydrological properties and mining influence characteristics are integrated; a full-process evaluation framework of data acquisition, index system construction, weight distribution, comprehensive modeling and verification optimization is constructed, an analytic hierarchy process and an entropy evaluation method are coupled to determine index weights, a dynamic evaluation model is constructed in combination with a fuzzy mathematics theory, and accurate classification and risk early warning of the permeability resistance of the overlying strata are realized. According to the method, through comprehensive analysis of a plurality of factors, the accuracy of overlying strata permeability resistance evaluation can be improved, so that the underground water permeation path and the permeation amount are predicted more accurately, the uncertainty is reduced, the comprehensiveness and the accuracy of evaluation are remarkably improved, and a scientific basis can be provided for mine water disaster prevention and control and safe mining.

The invention discloses a method and a device for determining water blocking damage degrees of different pore sizes of a rock core. Comprising the following steps: acquiring physical property data of a target rock core and simulated formation water; vacuumizing, pressurizing and saturating the target rock core to obtain a saturated water state rock core, and obtaining a first transverse relaxation spectrum and a first longitudinal and transverse relaxation correlation spectrum through nuclear magnetic resonance; performing displacement treatment on the rock core to obtain a water-bound state rock core, and obtaining a second transverse relaxation spectrum and a second longitudinal and transverse relaxation correlation spectrum; determining a pore size range, and establishing a water blocking damage identification chart to define a characteristic interval between bound water and saturated water; carrying out difference operation to obtain a difference spectrum matrix, extracting pore space areas of bound water and saturated water in the matrix, and calculating an area ratio; and determining the water blocking damage degrees of different pore sizes by combining the porosity, the permeability and the ratio. According to the method, the pore scale can be accurately divided, the damage of each scale can be quantified, the development efficiency can be optimized, and a reliable basis is provided for formulating a reservoir unblocking scheme.

The invention discloses a shallow shale gas self-sealing reservoir formation identification method, which comprises the following steps: firstly, carrying out dual-energy CT scanning on a shale full-diameter core sample to obtain DEI values, and the difference of the DEI values embodies different lithologic (physical property) longitudinal change rules, i.e., different shale lithologic grain interlayer interlayers, different shale lithologic grain interlayer interlayers, different shale lithologic grain interlayer interlayers, different shale lithologic grain interlayer interlayers, different shale lithologic grain interlayer interlayers, and different shale lithologic grain interlayer interlayers; the development of the top and bottom plates of the high-quality shale reservoir enables the shale gas to have a self-sealing reservoir forming characteristic; then simulating the adsorbability of the shale gas through laboratory thermal cracking to obtain a shale gas adsorbability rule, and identifying whether the shale gas has a self-sealing reservoir forming characteristic or not. And finally, measuring the distribution rule of the microscopic porosity and the pore diameter through a scanning electron microscope, judging whether the shale layer is a non-or ultra-low permeability layer under the formation temperature and pressure condition or not, and identifying whether the shale gas has the self-sealing reservoir forming characteristic or not. According to the method, the self-sealing reservoir forming of the shale gas is identified in multiple aspects, and the method provides effective technical support for evaluating the favorable layer section of the shale and is of great significance in improving the exploration and development effect of the shale gas.

The invention discloses a mine working face water inflow prediction method based on mining water yield comparison. The method comprises the steps that 1, the development height of a water flowing fissure zone is calculated; 2, counting the sandstone equivalent thickness, the sand-to-ground ratio, the core recovery rate, the brittle-plastic rock thickness ratio, the unit water inflow and the permeability coefficient in the development height of the water flowing fractured zone as multivariate data; 3, determining the comprehensive weight of each evaluation index in the multivariate data; 4, drawing a contour map of mining area mining water yield indexes; 5, giving a fitting equation of the water inflow of the working face and the water yield index, and predicting the water inflow of the working face; according to the method, the contour map of the mining water yield index of the mining area is formed by coupling all the parameters, the correlation equation of the mining water yield index and the water inflow is constructed, the water inflow of the working face to be mined can be predicted based on the known mining water yield index through the equation, and the method is easy to operate and high in practicability. And the method is of great significance to the construction of mine water disaster prevention and treatment and mine water treatment facilities.

The invention discloses a formation collapse pressure prediction method based on a feature marking physical information neural network, and relates to the technical field of oil exploration and development. The method comprises the following steps: collecting multi-scale data of logging, earthquakes, cores and the like, and constructing a physical constraint framework in combination with a well track stress field model; a data enhancement module combining expert knowledge and a Beta distribution mixed strategy is utilized to carry out interpolation on missing values and generate an enhanced data set conforming to geological laws; a multi-head self-attention encoder comprising a feature word segmentation device and a Transform is constructed, original parameters are converted into embedded vectors, and deep interaction features are mined; a physical consistency measurement function based on a collapse pressure mechanism is introduced, and a total loss function containing data loss and physical loss is constructed for joint optimization. According to the method, the problem of geological sample scarcity is effectively solved, it is ensured that the prediction result meets the rock mechanics equilibrium condition, and the prediction precision and robustness of the complex formation collapse pressure are remarkably improved.

The invention relates to the technical field of hydraulic fracturing numerical simulation, aims at solving the problem that in the prior art, shale reservoir multi-scale natural fractures are difficult to simulate, and provides a shale reservoir multi-scale fracture numerical simulation method, a computer device, a readable storage medium and a program product. The method comprises the following steps: S1, preparing a standard shale core; s2, acquiring natural fracture distribution information of the standard shale core; s3, generating a natural fracture unit based on the obtained natural fracture distribution information; s4, generating a rock matrix unit; s5, embedding a global cohesion unit; based on the distribution information of the multi-scale natural fractures, random expansion numerical simulation of the multi-scale fractures of the shale reservoir is achieved through the cohesion unit, the technical problem that the multi-scale natural fractures of the shale reservoir are difficult to simulate is solved, the multi-scale natural fractures in the shale reservoir can be effectively activated, and the expansion form of the hydraulic fracture can be accurately predicted; the method can be used for supporting hydraulic fracturing reservoir transformation and fracturing construction optimization and adjustment.

The invention provides an earthquake quantitative prediction method for the compaction effect intensity of carbonate rocks, and the method comprises the following steps: (1) carrying out the statistics and analysis of logging data and core analysis data of a compacted stratum in a to-be-analyzed region, and building a fitting relation between the apparent compaction rate and the longitudinal wave speed; (2) performing phase-control frequency-division inversion in combination with the seismic response characteristics, and then calculating and analyzing the actual longitudinal wave speed of the to-be-analyzed region; and (3) determining the distribution of the apparent compaction rate according to the fitting relation between the apparent compaction rate and the longitudinal wave speed obtained in the step (1) and the actual longitudinal wave speed obtained in the step (2). According to the carbonate rock diagenesis strength earthquake prediction method based on the apparent compaction rate, the problem that quantitative prediction of the carbonate rock compaction strength is difficult is solved, the distribution characteristics of different compaction strength in space are defined, and the exploration and development success rate can be improved.

The invention discloses a coal mine porosity calculation method for improving sequential Gaussian simulation under multi-source data fusion. On the basis of logging data preprocessing, logging curves of natural gamma, density, three-lateral resistivity and the like are synthesized, the high-organic-matter stratum is accurately discriminated, a volume physical model is constructed to explain the porosity of the rock stratum, a linear regression model is constructed to explain the porosity of the high-organic-matter stratum, and the porosity of the high-organic-matter stratum is accurately discriminated. After the two results are spliced and combined, abnormal sudden change points on a curve are eliminated through a curve smoothing algorithm, then the porosity curve, rock core data and the water temperature experiment result are normalized and mapped into a geological grid model, variation function analysis and parameter selection work are carried out, improved sequential Gaussian simulation and post-processing are carried out on the basis, and the geological grid model is obtained. And the reliability of the porosity attribute model is improved.

The invention belongs to the technical field of oil and gas reservoir rock data identification, and particularly relates to a three-dimensional multi-mineral digital core modeling method. According to the method, a 2D-3DGAN algorithm is provided, a three-dimensional data volume can be generated only by using a single two-dimensional picture, the advantages of a 2D-3DGAN method and an AMICS method are combined, a modeling method of 'AMICS + 2D-3DGAN' is provided to establish a multi-mineral, high-precision and efficient three-dimensional multi-mineral digital core, the representative two-dimensional ore scanning image is obtained by using the 2D-3DGAN method, and the three-dimensional data volume can be generated only by using a single two-dimensional picture. And generating a three-dimensional multi-mineral digital image by using the obtained two-dimensional mine scanning image as a training image. The built model not only contains multiple minerals, but also gives consideration to accuracy and economical efficiency, can represent reservoir rocks, and provides a firm basis for subsequent diagenesis simulation based on multi-mineral digital cores and research on electrical, acoustic and mechanical properties of reservoirs.

The invention discloses a fluid identification method based on earthquake-electromagnetic combination, and aims to improve the identification precision of underground fluid, and the method comprises the steps: firstly, constructing and calibrating a forward model based on well data and a rock core experiment, and guaranteeing the theoretical support for the physical property of a stratum; afterwards, AVO inversion is carried out to obtain stratum elastic parameters, and meanwhile, electromagnetic inversion is utilized to obtain spatial distribution of resistivity. Afterwards, the elastic parameters and the resistivity obtained through inversion are substituted into a rock physical model, a joint objective function is constructed, and the difference between observation data and model prediction is quantified. And finally, through combination of global and local optimization algorithms, successive approximation to an optimal solution and inversion, lithology, porosity and fluid property parameters are obtained, fluid saturation is further deduced, and high-precision identification of the underground fluid is realized. The method can be widely applied to the geological engineering fields of oil-gas exploration, underground water resource evaluation and the like, and provides effective theoretical and practical support for accurate estimation of fluid saturation.

The invention belongs to the technical field of vein recognition, and particularly relates to a metal vein recognition method and system based on a rock core image, and the method comprises the steps: carrying out the gray conversion, enhancement and filtering processing of a collected RGB rock core image, and building a gray reference image; analyzing the gray similarity of a pixel point space neighborhood, and calculating a local texture width index to measure the physical width of the texture; gaussian mapping is carried out based on the index, and the matching weight of the multi-scale candidate window is adaptively acquired; in combination with the matching degree and gradient information, a vein index is calculated through multi-scale texture fusion and a nonlinear fracture suppression model, so that a real vein and a natural fracture are distinguished; and obtaining a binary vein distribution map by using an Otsu method and morphological operation. According to the method, the problems of complex background interference, inaccurate fixed window feature extraction and fracture misrecognition are reduced, and the vein recognition precision is improved.

The invention relates to the technical field of oil and gas well wall stability and fracturing yield increase development, in particular to a deep high-temperature rock statistical damage constitutive model construction method which comprises the following steps: performing mineral component and microstructure analysis on a deep rock core by adopting XRD (X-Ray Diffraction) and SEM (Scanning Electron Microscope) technologies, and performing quantitative statistics on mineral content to obtain a deep high-temperature rock statistical damage constitutive model. The method comprises the following steps: acquiring rock brittleness and plasticity characteristic basic data, performing a triaxial compression test by adopting a high-temperature triaxial compressor, and establishing a constitutive model capable of reflecting deep high-temperature rock damage; according to the mechanical characteristics of the deteriorated rock due to temperature rise, the provided model is verified to accurately simulate stress-strain curves of a sample in each stage of a single axis and a conventional three axis under different temperatures and confining pressures, the rationality of indexes is verified, and the deep high-temperature rock statistical damage constitutive model is obtained. The method solves the problem that in the prior art, a statistical damage constitutive model capable of accurately reflecting stress-strain characteristics of the deep high-temperature rock at each stage of a single axis and a conventional three axis under different temperatures and confining pressures is lacked.

The invention relates to the technical field of ultra-deep geological exploration engineering, and discloses an ultra-deep horizontal hole full-hole coring and trajectory cooperative control system, which integrates a high-precision sensor and professional monitoring equipment through a geological data acquisition module to construct a multi-dimensional data monitoring system; the geological data transmission module adopts a dual backup scheme of drill rod built-in optical fiber and mud pulse transmission, is connected with the geological data acquisition module and the geological data analysis module through an industrial Ethernet, is carried with a 5G industrial module, and supports remote data access and instruction interaction of each functional module; the geological data analysis module comprises a processing unit and an analysis unit, the processing unit preprocesses the acquired data, and the analysis unit extracts the preprocessed data to calculate a trajectory deviation value and a rock core recovery rate; and the decision feedback module sends out feedback processing according to the calculation results of the trajectory deviation value and the core recovery rate. The system solves the problem of insufficient accuracy of traditional track evaluation.

The invention relates to the technical field of coal reservoir development, in particular to a well-seismic data collaborative inversion and reservoir prediction method based on a rock physical model. The method comprises the following steps: acquiring well logging data and seismic data of a target reservoir, preprocessing the data, and ensuring the matching consistency of the data in time and depth; a dynamic rock physical model is constructed, reservoir heterogeneity parameters are introduced into the model, and the heterogeneity parameters are represented through rock core experiments or reservoir physical property analysis and used for describing the dynamic relation between the porosity, the permeability and the water saturation and the elastic parameters; on the basis of the dynamic rock physical model, well logging constraint and seismic reflection information in a well are jointly optimized by adopting an adaptive collaborative inversion algorithm to obtain three-dimensional distribution of longitudinal wave velocity, transverse wave velocity and density; by introducing a dynamic rock physical model, an adaptive collaborative inversion algorithm and a multi-scale convolutional neural network and combining well-seismic data joint processing, the prediction precision and resolution of reservoir physical properties can be improved.

The invention discloses a method for constructing a three-dimensional digital core model of irregular concave-convex particles, and the method comprises the following steps: S1, generating regular small balls with the same radius distribution based on the radius distribution and shape characteristics of actual rock particles; s2, constructing a single particle with an irregular concave-convex shape based on a single regular small ball; s3, by setting modeling parameters of different regular small balls, on the basis of a construction method of a single particle with an irregular concave-convex shape, constructing a plurality of irregular concave-convex particles by the regular small balls with different sizes; and S4, simulating deposition and compaction diagenesis processes of a plurality of irregular concave-convex particles in a three-dimensional space to obtain digital core models with different pore structures. The modeling principle and process have the advantages of being easy to understand, controllable in concave-convex shape, diverse in result and the like, and a model foundation is laid for oil and gas reservoir rock physical analysis and modeling work.

A method for evaluating contribution of each component to shale oil reservoir resistivity at high temperature and high pressure is applied to the field of oil exploration and development. The method comprises the following steps: (1) analyzing the volume percentage of each clay mineral, the pore water content and the mineralization degree of the shale oil reservoir pressure-maintaining closed core; (2) when the fluid pressure is greater than 23MPa, measuring the resistivity of the pressure-maintaining closed rock core at each temperature point; (3) carrying out water balance treatment on pure clay minerals, namely kaolinite, montmorillonite, illite and chlorite, and measuring the resistivity at each temperature point when the fluid pressure is greater than 23MPa; (4) when the fluid pressure is greater than 23MPa, measuring the resistivity of each temperature point of the solution consistent with the mineralization degree of the pore water; and (5) constructing a resistivity evaluation model, and evaluating the contribution of each component to the resistivity of the shale oil reservoir under the condition of high temperature pressure.

The invention belongs to the technical field of coal bed gas detection, and discloses a coal bed exploration logging gas reservoir identification method, which comprises the steps of data acquisition, data preprocessing, gas reservoir preliminary identification, multi-dimensional cross validation, and gas content and development value evaluation. According to the coal seam exploration logging gas reservoir identification method, firstly, association of logging, a rock core and three-dimensional seismic data is established by means of well-seismic calibration on the basis of multi-source data acquisition, then a three-dimensional cross validation closed loop is formed through rock core logging point verification and well-seismic space verification, and the precision of single well local identification is guaranteed through rock core experimental data; according to the method, seismic data are used for checking the spatial suitability of a gas reservoir, a structure height part and a fracture area, the boundary of the gas reservoir is corrected in combination with wave impedance abnormal characteristics, the limitation of traditional single rock core verification is eliminated, it is ensured that the recognition result is highly consistent with a geological structure rule, and accurate parameters are obtained through fusion of rock core actual measurement and logging inversion.

The invention relates to the technical field of deep space detection equipment, in particular to an extraterrestrial celestial body rock coring drill and a coring and breaking method thereof. The coring drill comprises an attachment mechanism, a rotary impact sliding table mechanism and a coring and core breaking mechanism which are sequentially connected, the attachment mechanism is used for being anchored to the surface of celestial rock, and the rotary impact sliding table mechanism is used for providing drilling rotation, impact power and axial feeding motion; the coring and breaking mechanism comprises an outer drill bushing, an eccentric coring pipe assembly mounted in the outer drill bushing and a drill bit connected to the front end of the outer drill bushing; the eccentric coring pipe assembly comprises a coring pipe and a driving shaft for driving the coring pipe to rotate, and the coring pipe and the driving shaft are eccentrically arranged; the driving shaft can be controlled to synchronously rotate in the same direction with the outer drill bushing or independently rotate in the opposite direction relative to the static outer drill bushing. Active anchoring and multiple buffering are combined, the sample integrity, the operation success rate and the automation degree of extraterrestrial hard rock coring are remarkably improved, and lossless capture and mechanical reliable breaking of a rock core are achieved.

The invention provides a mineralization domain spatial distribution prediction method and system based on geological priori knowledge, and relates to the technical field of mineral exploration, and the method comprises the steps: obtaining drilling core test analysis data and magnetic measurement data of a target mining area; processing the geochemical data to obtain an element concentration data set, and performing potential field conversion on the magnetic measurement data to generate a magnetization direction data set; identifying geochemical anomaly information from the concentration data set by using a fractal algorithm, determining an anomaly range, fusing the anomaly range and the magnetization direction data set, performing three-dimensional visual modeling, and constructing a three-dimensional geologic model; and finally, extracting feature data in the three-dimensional geologic model, and inputting the feature data into a machine learning prediction model for processing to obtain a distribution diagram representing the existence probability of the mineralization domain in the mining area space. According to the invention, the accuracy of blind mineralization domain spatial position prediction is improved.

The invention provides a method and a device for measuring oil-water seepage capacity and comprehensive flow capacity of a sandstone reservoir, and relates to the technical field of petroleum and natural gas development, and the method comprises the following steps: measuring basic parameters of a core model, and obtaining an oil-water relative permeability curve; respectively carrying out CT scanning to obtain a reference CT value, saturating the rock core with water, and then carrying out CT scanning; utilizing oil-displacing water to establish a bound water state and performing CT (Computed Tomography) scanning; injecting water into the rock core for displacement, and performing CT scanning at different injection rate nodes to obtain a real-time image; and calculating oil-water saturation distribution at each position according to the CT image, carrying out grid division on the rock core, reading a corresponding relative permeability value for each grid, and calculating the phase permeability and the comprehensive flow capacity of each grid. According to the method, the macroscopic relative permeability curve and the microcosmic saturation field are subjected to data fusion, quantitative partition evaluation of the flow capacity of different areas of the heterogeneous reservoir is achieved, and the evolution rule of the flow capacity of the reservoir along with the development process can be dynamically tracked.

This invention provides a method, system, and computer equipment for predicting the maturity of shale and mudstone reservoirs through well logging. By analyzing the total porosity and total organic carbon content of shale and mudstone cores from different regions, this invention obtains a mathematical relationship between relative porosity and total organic carbon content. This mathematical relationship reflects the porosity-enhancing efficiency of organic matter and reveals a close relationship between this efficiency and vitrinite reflectivity, which reflects the thermal maturity of organic matter. As maturity increases, the porosity-enhancing efficiency of reservoir organic matter decreases. Therefore, the maturity of shale and mudstone reservoirs can be predicted and evaluated based on the porosity-enhancing efficiency of organic matter. Based on this, this invention establishes a "three-parameter" chart using data on total porosity, total organic carbon content, and vitrinite reflectivity of shale and mudstone from different regions. By processing the data in the area to be tested, the mathematical relationship between relative porosity and total organic carbon content of the shale and mudstone reservoir is obtained. Combined with the "three-parameter" chart, the organic matter maturity can be determined, providing a reference for reservoir evaluation and prediction.

The utility model discloses an automatic rock core cutting machine which comprises a rack, a cutting assembly fixedly connected to the rear side of the top of the rack, a table top connected to the top of the rack in a sliding mode and clamping assemblies fixedly connected to the two sides of the top of the table top. The rock ballast shielding mechanism comprises a fixing plate, the bottom of the left side of the fixing plate is fixedly connected with an expansion piece, the output end of the expansion piece is fixedly connected with a vertical rod, the front face and the back face of the vertical rod are fixedly connected with protruding rods, the outer side of the left side of each protruding rod is fixedly connected with a transmission pin, and the surface of each transmission pin is sleeved with a rectangular block. According to the cutting machine disclosed by the utility model, the phenomenon that rock ballast is sputtered to the outer side in the traditional rock core cutting process is changed, and the shielding frame cover is adopted for shielding the processing part of the table top, so that the crushed slag is prevented from being sputtered to surrounding workers, and the safety of the workers is prevented from being not guaranteed.

This invention provides a method for characterizing sedimentary microfacies distribution based on comprehensive geological and seismic analysis. By studying the sedimentary environment and surrounding tectonic background of the entire block, this invention calculates the cumulative percentage of channel and shoal body types based on sedimentary microfacies and grain size analysis. Based on a comprehensive analysis of the lithofacies of drill cores and corresponding well logging curves and seismic response characteristics, it establishes a comprehensive response model of the main sedimentary facies-well logging facies of the target stratigraphic group in the study area. Furthermore, based on the fusion of seismic attributes, it characterizes sand bodies in seismic profiles. By integrating the sand body characterization results, the comprehensive response model of sedimentary facies-well logging facies, and the sedimentary microfacies types, a method for characterizing sedimentary microfacies distribution in tight sandstone reservoirs using comprehensive seismic and geological analysis is established.