603 results about "Petroleum exploration" patented technology

The invention provides a preparation method of a multi-lithology interbed shale crossing fracturing simulation rock sample, the rock sample and application, and belongs to the technical field of petroleum exploration and development fracturing engineering. The method comprises the following steps: acquiring a same-layer-series interlayer outcrop sample in a target area; mixing and stirring the base materials to prepare a shale rock plate, and cutting the shale rock plate into required thickness; and placing the shale plate and the interlayer outcrop sample in a mold at intervals to prepare a multi-layer mixed rock sample. The prepared rock sample can simulate target layer shale and interlayer tight sandstone and limestone with the Young modulus within 60 GPa, so that the longitudinal lithology heterogeneity of a shale reservoir is accurately represented, and the similarity and reproducibility are high; a large-size true triaxial cross-layer fracturing crack propagation physical simulation experiment under the condition of layered stress loading is carried out, and the influence of main control factors such as the thickness of the interlayer, the Young modulus ratio of the storage interlayer, the stress difference and fracturing process parameters on longitudinal propagation of the cross-layer fracturing crack can be accurately revealed.

Disclosed in the present invention is a coiled tubing drilling downhole system convenient to move and position. The downhole system comprises a base plate, wherein four through slots run through the bottom of the base plate, four universal wheels are provided at the bottom of the base plate, handlebars are fixed to one side of the top of the base plate, a support frame is provided above the base plate, four square tubes are fixed to the support frame, positioning and stabilizing assemblies are respectively provided inside the four square tubes, a traction roller is rotatably connected inside the support frame, and a first electric motor is fixed to one side of the support frame. The present invention relates to the technical field of oil exploration. The coiled tubing drilling downhole system convenient to move and position, by means of providing automatic soil-ramming mechanisms, automatically rams soil and gravel divided to two sides of the mouth of a borehole, and, by means of cooperation and linkage with automatic soil division assemblies, prevents loose soil and gravel around the mouth of the borehole from slipping into the borehole, thereby improving the drilling efficiency.

The invention relates to the technical field of oil exploration, and discloses a rock mechanical parameter logging intelligent evaluation method considering continental facies shale fabric characteristics. The method comprises the following steps: 1, dividing shale lithofacies, identifying and determining the bedding development thickness of a sample through an optical microscope, determining a granularity experiment of the sample through granularity analysis, and forming mineral composition and bedding factor lithofacies division; 2, constructing a typical logging facies based on a rock electricity response relationship, and dividing the imaging logging facies of the research area according to natural gamma curves of conventional logging and imaging logging, core deposition structure characteristics and imaging logging image characteristics; 3, testing the longitudinal and transverse wave velocities and the porosity of different shale lithofacies, and calculating the dynamic elastic modulus and the Poisson's ratio. Through fine division and description, the method for accurately evaluating the bedding development condition, the particle size characteristics and the mineral components of the shale sample is provided, the testing time is short, the cost is low, and accurate evaluation of shale can be achieved.

The invention provides a method and device for determining porosity through logging interpretation and image recognition, and relates to the technical field of oil exploration and development, and the method comprises the steps: obtaining the structure parameters of a shale sample through logging interpretation and image recognition; the structure parameters comprise TOC content, mineral content and porosity data; determining a first linear relationship based on a first type of structural parameters obtained by logging interpretation, and determining a second linear relationship based on a second type of structural parameters obtained by image recognition; the first linear relationship and the second linear relationship respectively represent mapping relationships between the porosity data and the TOC content and between the porosity data and the mineral content under the macroscopic level and the microscopic level; and combining the first linear relationship and the second linear relationship by using the Bayesian theorem to obtain a target linear relationship corresponding to the porosity data. By acquiring the logging data and the scanning electron microscope image, the porosity characteristics of the shale are comprehensively analyzed from the macroscopic level and the microcosmic level, and the accuracy and comprehensiveness of porosity calculation are improved.

The invention discloses a fluid production profile dynamic interpretation method based on microorganism DNA sequencing diagnosis in the technical field of oil exploration and exploitation, and the method comprises the steps: obtaining stratum microorganism baselines with high-resolution characteristics of different stratums through sampling and DNA sequencing of fluid production and rock debris of different well types; by comparing five evaluation indexes of accuracy, precision, recall rate, F1-score and calculation time of three clustering methods of naive Bayes, random forest and bp neural network, the random forest algorithm is optimized and improved, a liquid production profile interpretation model based on the stratum and liquid production strain feature PSO-random forest algorithm is constructed, and the liquid production profile of each stratum can be accurately described. The fluid production profile interpretation method is high in calculation precision and short in time consumption, production does not need to be stopped in the testing process, operation is easy, no pollution is caused to the stratum, and meanwhile the purpose of long-term effective dynamic monitoring of the oil reservoir can be achieved by sampling the produced fluid at different stages.

The invention relates to the technical field of petroleum drill rods, and discloses a petroleum exploration drill rod which comprises a hollow rod body, internal threads are arranged at the upper end of the rod body, and external threads matched with the internal threads are arranged at the lower end of the rod body; a grabbing cage is arranged on the inner side of the lower end of the rod body, a lifting column sliding in the axial direction is arranged on the inner side of the upper end of the rod body, the upper end of the lifting column is rotationally connected with a grabbing assembly, and the grabbing assembly comprises a plurality of angle-adjustable grabbing hooks for grabbing the grabbing cage. A traction rope is connected between the grabbing cage and the lifting column; an elastic telescopic piece is arranged in the middle of the traction rope; the drill rod threaded connector is prevented from being separated and falling off, and the drill rod can also be prevented from being broken and falling off; in a normal state, the grabbing cage and the grabbing assembly are located on the inner side of the rod body, regular appearance of the rod body is guaranteed, and entering and exiting of drill rods from fingerboards and storage are not affected. And compared with a bolt reinforcing structure, operation is more convenient, and the influence on drill rod assembling and disassembling work is small.

The invention discloses a formation resistivity determination method and device for a post-casing transient electromagnetic logging curve, equipment and a medium, and relates to the technical field of oil exploration and development, and the formation resistivity determination method comprises the following steps: obtaining a post-casing electromagnetic logging curve, and carrying out time sequence conversion and data preprocessing to obtain time sequence data; converting the data into frequency domain data by adopting wavelet transform, and performing multi-scale refinement splitting to obtain low-frequency features and high-frequency features; fitting the low-frequency features and the high-frequency features by using a symbol regression method to obtain a nonlinear high-dimensional symbol regression formula for the low-frequency data and a nonlinear high-dimensional symbol regression formula for the high-frequency data, and generating a post-casing electromagnetic logging curve nonlinear fitting formula; the mapping relation between the post-casing transient electromagnetic curve and the formation resistivity is determined through the post-casing electromagnetic logging curve nonlinear fitting formula, the formation resistivity is obtained, the uncertainty of manual selection of model parameters is avoided, the capacity of processing nonlinear problems is improved, and the accuracy and reliability of high-dimensional relation mapping and nonlinear fitting are improved.

The invention relates to the technical field of oil exploration and development, and particularly provides a numerical simulation method for CO2 storage and oil displacement development effect evaluation. The method comprises the following steps: constructing a flow state physical model after CO2 enters a reservoir; according to the flow state physical model, a seepage model of CO2 entering the reservoir is established by combining the Darcy seepage theory and the mass conservation theory, and an oil phase formula, a water phase formula and a CO2 gas phase formula are obtained in a radial one-dimensional cylindrical coordinate system; dividing a calculation area into differential grids according to an oil phase formula, a water phase formula and a CO2 gas phase formula to obtain a limited number of grid nodes, and replacing a continuous solution domain with the limited number of grid nodes; according to the solution domain, calculating to obtain a relation expression of CO2 saturation changing along with radius and time; a prediction model is formed through the change relational expression, the CO2 storage or oil displacement state is predicted, the CO2 storage and oil displacement process is accurately simulated, and the CO2 emission reduction effect and potential can be effectively improved.

The invention provides a surface wave information-based near-surface formation longitudinal wave velocity inversion method. The surface wave information-based near-surface formation longitudinal wave velocity inversion method comprises the following steps of: 1, extracting surface wave frequency dispersion data through a phase shift method; 2, according to the frequency dispersion curve, direct inversion is carried out to obtain the near-surface shear wave speed and thickness; step 3, calculating a W-D curve and a W / D-D curve; and 4, adding the W-D data and the W / D-D data into an objective function, and carrying out longitudinal wave velocity direct inversion. According to the near-surface formation longitudinal wave velocity inversion method based on the surface wave information, direct inversion of the near-surface formation longitudinal wave velocity can be achieved, information such as the transverse wave velocity, the formation thickness, the longitudinal wave velocity and the Poisson's ratio is obtained in the inversion process, and powerful research basis and support are provided for application of the surface wave information in oil exploration and engineering exploration.

The invention relates to the field of oil exploration, and particularly discloses a karst area oil exploration target optimization and resource quantity prediction method based on three-dimensional geological modeling. The method comprises the steps that firstly, seismic data, logging data and a rock core analysis result of a karst area are collected, data normalization and time-depth conversion are carried out, and a three-dimensional geologic model fusing structural constraints and physical property constraints is constructed; then multi-attribute indexes such as a coherent body, curvature, amplitude attenuation, deep lateral resistivity and interval transit time are selected, and karst development indexes are calculated through principal component analysis; in combination with parameters such as reservoir thickness, porosity, permeability, trap integrity and oil and gas display, utilizing a multi-index weighted scoring method to screen exploration favorable blocks; and finally, calculating reserves according to a volumetric method to obtain resource quantity prediction results of different target areas. According to the method, three-dimensional fusion modeling, multi-index quantitative optimization and chained calculation of multi-source data are realized, and quantifiable and traceable technical support is provided for oil exploration deployment in a karst area.

The invention belongs to the technical field of oil exploration, and discloses an oil exploration method adopting an intelligent oil exploration robot system. The method comprises the steps of collecting geological information data; analyzing the geological information data, and constructing a three-dimensional geological model; planning an exploration path based on the three-dimensional geologic model; according to the exploration path, controlling the exploration robot to perform drilling operation, and collecting drilling data; the drilling data are analyzed, and petroleum resources are evaluated; according to the invention, automation and intelligentization of the oil exploration process can be realized, the efficiency and accuracy of oil exploration are obviously improved, the operation risk and cost are reduced, systematic evaluation of the whole oil resource is realized, and a reliable basis is provided for subsequent development and utilization of oil.

The invention provides a fracturing digital twin platform construction method and device and a twin platform system. The method comprises the steps of obtaining fracturing equipment data to construct a fracturing equipment model library; acquiring scene data of a construction site, and constructing a fracturing scene model based on the scene data and the fracturing equipment model library; and importing fracturing real-time data into the fracturing scene model to form the fracturing digital twinborn platform. According to the method provided by the embodiment of the invention, digital and visual transformation can be carried out on the fracturing production process, transparency, visualization and virtual-real mapping of the whole fracturing production process are realized, and a complete virtual digital twinning service is provided. Furthermore, in cooperation with remote operation and maintenance and visual management of a user, the management level and control capability of an enterprise are improved, a fracturing remote management decision is improved to a new height, application and popularization of a digital technology in the field of oil exploration and development are promoted, and digital transformation and upgrading of oil exploration and development are promoted.

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 belongs to the technical field of oil exploration seismic data processing, and discloses a data-driven pseudo three-dimensional imaging method. Carrying out demigration, data matching and three-dimensional gridding, sparse data inter-channel interpolation, data driving inclination angle weight factor constraint data reconstruction and data driving step-by-step iterative interpolation on the two-dimensional post-stack migration data to obtain a pseudo three-dimensional data volume, and establishing a pseudo three-dimensional velocity field through multi-information constraint; performing post-stack migration on the pseudo three-dimensional data volume by using the pseudo three-dimensional velocity field to obtain a migration result, and performing post-stack modification and high-resolution processing on the migration result to realize data-driven pseudo three-dimensional imaging; the invention also discloses a data-driven pseudo three-dimensional imaging device, equipment and a storage medium. The method is suitable for pseudo three-dimensional imaging of the old two-dimensional data, the utilization rate of the old two-dimensional data is greatly improved, the closing problem of different two-dimensional data is solved, and a more visual and convenient data body is provided for interpretation personnel.

The invention discloses a shale oil heterogeneity evaluation method based on imaging logging and related equipment, and belongs to the field of oil exploration logging. Based on the characteristics of high resolution and high coverage rate of micro-resistivity imaging logging, the shale oil heterogeneity evaluation method can be used for evaluating shale oil heterogeneity through resistivity data in a static image; four heterogeneity quantitative characterization parameters including a vertical heterogeneity index, a horizontal heterogeneity index, a comprehensive heterogeneity index and a heterogeneity coefficient are constructed, and a heterogeneity parameter classification evaluation standard is constructed in combination with historical oil testing data of a research area; and finally, evaluating and predicting the heterogeneity of the new well shale bed series by utilizing a heterogeneity parameter classification evaluation standard. The evaluation result obtained by adopting the method is not influenced by other intermediate parameters and factors and is only related to the logging original acquisition quality, and the method is consistent in calculation standard and high in precision.

The invention belongs to the technical field of oil exploration and development, and discloses a rapid detection method and device for multiple characteristics of mud shale movable oil, and the method comprises the following steps: sampling and preparing rock slices; selecting a detection area of the rock slice and taking a microphotograph; performing first scanning to obtain a first crude oil three-dimensional distribution image data volume; flushing the rock slices and collecting flushing fluid; scanning for the second time to obtain a second crude oil three-dimensional distribution image data volume; obtaining the movable oil content through the first crude oil three-dimensional distribution image data body and the second crude oil three-dimensional distribution image data body; and obtaining the carbon number range of the movable oil and the content of each component. The shale reservoir movable oil volume content can be determined, a movable oil distribution three-dimensional image, a movable oil pore number distribution diagram and a movable oil pore volume distribution diagram can be obtained, and technical support is provided for well drilling tracking, shale quality real-time evaluation, development scheme compiling, economic benefit evaluation and the like.

The utility model relates to a deslagging device for oil exploration, which comprises a deslagging box, a sealing box door is hinged to the front end of the deslagging box, a plurality of pairs of concave sliding grooves are symmetrically formed in the left side wall and the right side wall in the deslagging box, and a screening assembly is slidably connected in each pair of concave sliding grooves. A plurality of knocking assemblies acting on the screening assembly are installed on the side wall of the slag removal box, a screening barrel is rotationally connected to the lower end in the slag removal box, and a rotating power assembly detachably connected with the screening barrel is installed at the bottom end of the slag removal box. The petroleum crude oil residue removing device has the advantages that the screening assembly is matched with the knocking assembly, the rotary power assembly drives the screening barrel to rotate, filtering and residue removing are conducted on petroleum crude oil, and the residue removing efficiency is high; chippings and impurities are left in the feeding barrel and the screening barrel, leakage is avoided during treatment, and the working environment is prevented from being polluted; the screening assembly and the screening barrel are convenient to mount and dismount, and disintegrating slag is convenient to treat.

The invention relates to the technical field of geology research in oil exploration and development, and provides a shale oil reservoir pore space quantitative characterization method and system, and the method comprises the steps: carrying out the statistics of micron-order equivalent pore structure parameters of a shale oil reservoir; carrying out statistics on nanoscale organic pore structure parameters of the shale oil reservoir; performing standardization treatment on the micron-scale equivalent pore structure parameters and the nano-scale organic pore structure parameters to obtain theoretical volumes of standardized pore structures in different intervals under different resolutions of the reservoir sample; respectively calculating the volume fraction of the theoretical volume in the standardized total pores and the volume fraction of the theoretical volume in the reservoir sample; and establishing a full-scale pore distribution curve according to the volume fractions, and representing the pore volume proportions of different apertures of the shale oil reservoir. According to the method, CT scanning and FIB-SEM are organically combined in the shale oil reservoir space quantitative characterization process, and visual quantitative characterization of a shale sample from micron-scale bedding seams to nano-scale apertures is achieved.

The invention relates to a battery or battery pup joint fault detection method and device, computer equipment, a medium and application, and the battery or battery pup joint fault detection method comprises the following steps: obtaining the propagation time and signal amplitude of an ultrasonic pulse wave transmitted through the interior of a battery; and according to the propagation time and the signal amplitude of the ultrasonic pulse wave, comparing the preset propagation time with the preset signal amplitude, and judging whether the battery fails or not. According to the battery fault detection method, whether the battery fails or not is judged through the propagation time and the signal amplitude of the ultrasonic pulse waves in the battery in combination with an ultrasonic non-destructive detection technology, the detection process and the analysis process are simple, convenient and rapid, internal defects and potential hazards of the battery can be pre-judged and detected, and the detection efficiency is improved. In addition, the battery in use can be detected, and the practical economic practice value is achieved. The device is especially suitable for the technical field of oil exploration and development, and is especially suitable for detecting a high-temperature lithium battery short section used by a measurement-while-drilling instrument in the technical field of measurement-while-drilling instrument detection.

The invention discloses a horizontal well while-drilling method and system suitable for ultra-deep oil and gas reservoir development, and belongs to the technical field of oil exploration and development. (2) accurate target entering is guaranteed through a marker bed control method and a stable inclination top detection method; and 3) predicting the position of the drill bit after target entering to guide the adjustment of the horizontal well. The horizontal well track is adjusted in real time by measuring stratigraphic layering and well deviation data during drilling, the drilling rate of a reservoir can be effectively increased, and an effective technical means can be provided for efficient development of deep oil and gas reservoirs.

The invention relates to an oil-containing rock sample batch freezing device, an analysis system and an analysis method, and relates to the technical field of oil exploration. A plurality of samples can be placed on the sample plate provided with the plurality of sample cavities at a time, and the sample plate can be quickly frozen by introducing the refrigerating fluid into the first flow channel in the sample plate, so that low-temperature storage of all the samples is realized. The heat preservation box is of a split structure, the heat preservation box is kept in a closed state when the samples do not need to be taken, and the heat preservation box is temporarily opened under the action of the driving mechanism when the samples need to be taken, so that the samples are always in a low-temperature state, and the analysis result is prevented from being influenced by loss of light hydrocarbon components. The oil-containing rock sample batch freezing device is arranged on the pyrolysis instrument, the manipulator of the pyrolysis instrument can grab samples in the sample cavity nearby and send the samples to the detection mechanism for analysis, the time for exposing the samples in the air is short, the analysis efficiency is high, and the result is accurate.

The invention belongs to the technical field of oil-gas exploration and development, and provides a deep learning quantitative characterization method and system for the oiliness of a CT scanning oil layer. The method comprises the following steps: determining CT scanning parameters through an oil layer digital intelligent model to obtain an oil layer three-dimensional grayscale image, and comparing the oil layer three-dimensional grayscale image with an electron microscope image to establish a standardized three-dimensional digital model; establishing a deep learning standard model by using a convolutional neural network on the basis, and extracting parameters such as oil content and oil saturation; a judgment standard is determined according to sample experiments and analysis, evaluation standards and digital three-dimensional models of different types of oil layers are constructed, and then dominant target layer sections are screened out. The system comprises a data acquisition module, a model construction module, a parameter extraction module and an evaluation decision module and is used for realizing the method. According to the method, the problem of inaccurate existing measurement is solved, the authenticity and the accuracy of quantitative prediction of the oiliness of the oil layer are improved, the petroleum exploration and development efficiency is improved, and the cost is reduced.

The invention relates to the technical field of oil exploration and development, in particular to a method for quantitatively determining the completion probability of water-drive oilfield development and production allocation. The method comprises the steps of selecting a target water-drive oil field and determining a target research area, analyzing uncertainty factors influencing the yield scale of the target water-drive oil field and extracting key indexes, and counting historical development data of batch wells in the current year in the target research area, quantitative characterization is carried out on the key indexes, expected yield values of the target water-driven oil field under different probability conditions are calculated, the risk degree range of the production allocation yield of the target water-driven oil field is obtained, and a risk assessment model of the production allocation yield of the target water-driven oil field is established according to the range; and reasonably predicting the yield of the next target water-driven oil field to complete the task according to risk analysis and evaluation of the model on the production allocation yield of the target water-driven oil field. According to the method, the feasibility target of the target water drive oil field is formulated through scientific guidance, the yield risk is avoided in time, and planning deployment is adjusted in time.

The invention belongs to the technical field of oil exploration and development, and discloses a three-dimensional geological modeling method, which comprises the following steps of: firstly, dividing the transformation degree of an oil and gas reservoir development seepage field, and classifying and matching data at different stages divided by the transformation degree of the oil and gas reservoir development seepage field; according to different stages divided according to the transformation degree of the oil and gas reservoir development seepage field, a dynamic rock physics experiment is carried out, law statistical analysis and staging fitting are carried out according to the result of the dynamic rock physics experiment, dual-path modeling and fusion are carried out according to the obtained law statistical analysis, and a final dynamic model is obtained. Performing multi-parameter difference analysis calculation on the dynamic model; the invention further discloses a three-dimensional geological modeling device and equipment and a storage medium. The dynamic model established according to the method conforms to the actual oil and gas reservoir exploitation stage, is suitable for oil reservoir and energy storage reservoir construction with the recovery efficiency improved through various oil reservoir exploitation measures, and improves the model establishment precision.

The invention relates to the technical field of oil exploration and development, in particular to an intelligent field geological outcrop crack identification method based on a fusion algorithm, namely, a Canny edge detection algorithm is adopted to identify a crack distribution result in a field geological outcrop image; obtaining the size of a crack bounding box in the field geological outcrop image by adopting a YOLOv5 algorithm; and obtaining the crack length and the crack width according to the crack bounding box size. According to the method, the Canny edge detection algorithm and the YOLOv5 algorithm are fused to carry out field geological outcrop crack distribution identification and crack size calculation, so that the labor cost is greatly saved, the operation is simple, the identification is accurate, and the efficiency is improved for accurately describing the field geological outcrop crack.

The invention relates to a pressure-controlled drilling formation pressure calculation and control method and system based on multi-field coupling, and belongs to the field of oil exploration and development. The method comprises the steps that 1, an industrial personal computer is connected with a logging instrument, and basic data needed by calculation are obtained in real time; 2, shaft-stratum space domain grids are divided, and drill rod and annulus temperature distribution and stratum temperature distribution at different distances from a borehole are calculated; 3, considering the thermal-fluid-solid multi-field coupling influence, and calculating well circumference stresses at different well depth positions in elastic-plastic regions; 4, solving a real-time formation pore pressure profile after multi-factor coupling correction; 5, calculating real-time stratum fracture pressure profiles and collapse pressure profiles at the well walls at the different well depth positions after multi-factor coupling correction in the elastic-plastic areas; and 6, determining a bottom hole pressure control standard, calculating in real time based on a shaft hydraulic parameter calculation model, and controlling the wellhead back pressure in real time through an industrial personal computer. The method can effectively improve the calculation precision of the formation pressure during the pressure-controlled drilling period.

The present invention provides a method, system, equipment and storage medium for chemical phase division of lacustrine mud shale, which belongs to the field of petroleum exploration and development geology. Element data is obtained by collecting lacustrine mud shale samples, and the element data is processed to remove trace elements that are greatly affected by terrigenous debris. The principal component analysis (PCA) method is used to screen the features that have a greater impact on the chemical phase division to construct a feature vector, and the clustering algorithm is used to perform cluster analysis on the feature vector to obtain the chemical phase type. The chemical phase prediction model is trained using the random forest algorithm to automatically and efficiently perform the chemical phase division of lacustrine mud shale, and finally the chemical phase division results are applied to the exploration and development of shale oil and gas to identify and evaluate the oil and gas resource potential in lacustrine mud shale.

The invention relates to the field of petroleum geology in the petroleum exploration industry, in particular to a foreland thrust zone development and evolution method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining rock physical parameters of a to-be-determined region; performing biaxial experimental numerical simulation on the rock physical parameters to obtain microscopic parameters of different lithology or different stratums of the to-be-determined area; setting boundary conditions for the established geologic model, and carrying out a numerical simulation experiment according to regular changes of control variables of the geologic model to obtain a numerical simulation experiment result; and constructing extrusion according to a numerical simulation experiment result to obtain development and evolution of the foreland thrust zone of the to-be-determined area. By integrating limited geological and geophysical data, a geometric model and a geologic model can be established for a research area, and the forward modeling of the development and evolution process of the foreland thrust zone can be carried out by regularly adjusting partial parameters or anomalous bodies with relatively low cognition degrees.

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 embodiment of the invention relates to the technical field of oil exploration and development, in particular to a shale reservoir compressibility calculation method, device and equipment, and the method comprises the steps: obtaining a rock sample of a shale reservoir on a construction site; calculating the bedding development index of the rock sample; the bedding development index represents the bedding structure development degree of the rock sample; performing a triaxial compression experiment on the rock sample under the simulated shale reservoir environment to obtain a brittleness index of the rock sample; the brittleness index represents the strain degree of brittle fracture of the rock sample; scanning the rock sample after the triaxial compression experiment to obtain a fractal dimension index of the rock sample; the fractal dimension index represents the space structure complexity of the three-dimensional crack in the rock sample; and calculating the compressibility of the shale reservoir according to the bedding development index, the brittleness index and the fractal dimension index. According to the embodiment of the invention, the compressibility of the shale reservoir can be accurately and quickly evaluated on the construction site by integrating the bedding structure development degree, the fracture strain degree and the space structure complexity of the rock sample.