61 results about "Conglomerate" patented technology

The invention discloses a compact glutenite reservoir evaluation method based on a lithofacies-pore throat structure and application. The method comprises the following steps: step 1, establishing a lithofacies division scheme in a compact glutenite reservoir; 2, determining the reservoir performance of different lithofacies in the compact glutenite reservoir; 3, determining reservoir space types and features of different lithofacies in the compact glutenite reservoir; 4, analyzing pore throat structure characteristics of different lithofacies in the compact glutenite reservoir to obtain multi-type pore throat structure parameters; 5, establishing a reservoir performance and pore throat structure parameter database of different lithofacies in the compact glutenite reservoir; step 6, carrying out compact glutenite reservoir clustering by utilizing a Ward system clustering method; and step 7, in combination with productivity conditions and physical characteristics of different lithofacies in the compact glutenite reservoir, proofreading and perfecting a reservoir clustering result, and finally establishing a compact glutenite reservoir classification evaluation scheme. The invention further discloses application of the method in oil exploitation.

The invention discloses a portable sedimentary rock classification system and method based on deep learning, and relates to the technical field of rock identification and geological survey. The system comprises a portable microscopic image acquisition module, a cloud deep learning model and a mobile terminal module. A user shoots macroscopic or microscopic images of sedimentary rocks through a mobile phone, the macroscopic or microscopic images are uploaded to a cloud end and then subjected to feature extraction and classification through the optimized ResNet50 model, and a classification result is fed back to a user end in real time. The innovation points comprise: (1) adopting a macroscopic and microscopic data set training model to significantly improve the classification precision; (2) designing a portable microscopic module to realize rapid acquisition of microscopic images; (3) mobile terminal identification service; and (4) the ResNet50 model based on residual network optimization supports high-precision fine-grained classification (sandstone, conglomerate, siltstone and clay rock). Experiments show that the system classification accuracy reaches 99% or above, and compared with a traditional laboratory method, the efficiency is greatly improved. The method can be widely applied to geological exploration, teaching and scientific research and science popularization scenes.

The invention relates to the technical field of carbon dioxide sequestration simulation experiments, and discloses a simulation test device and method for monitoring activity of a carbon dioxide sequestration fault. The geological similar body sequentially comprises a first fine sand rock layer, a coal layer, a silt rock layer, a conglomerate layer and a second fine sand rock layer from the lower layer to the top layer in the test box body; the first fine sand rock layer, the coal layer, the silt rock layer and the conglomerate layer are filled in the test box body in a staggered manner to form a fault structure; the carbon dioxide injection assembly and the water injection assembly are located outside the test box body, and the output end of the carbon dioxide injection assembly is inserted into the fault position of the silt rock stratum; the output end of the water injection assembly is inserted into the conglomerate layer; real-time monitoring is carried out through a plurality of sensors, and real-time recording and monitoring of stratum mechanical behaviors and environmental thermal state changes in the carbon dioxide injection and storage process are achieved.

The invention relates to the technical field of oil-gas exploration logging interpretation and evaluation, in particular to a compact glutenite reservoir quality determination method based on pore structure factors. The method comprises the following steps: calculating the porosity POR through the density; the method comprises the following steps: performing correlation fitting analysis on permeability and pore structure parameters by using mercury injection data of a compact glutenite reservoir, screening out parameters with high correlation, and constructing a pore structure factor KX; performing rendezvous analysis on the pore structure factor KX and conventional logging data, screening out logging data with high correlation, and constructing a reservoir pore structure factor KX comprehensive classification evaluation model; calculating the shale content Vsh through a neutron-density intersection method; and establishing a reservoir classification evaluation standard by using the pore structure factor KX, the shale content Vsh, the porosity POR and the lithologic factor H, and determining the quality of the compact glutenite reservoir. The method has the advantage of high accuracy.

The invention discloses a subdivided lithologic variable T2 cutoff value effective hole calculation method and system and electronic equipment, and belongs to the technical field of complex lithologic oil and gas reservoir well logging evaluation. Based on a glutenite reservoir of nuclear magnetic resonance well logging information, on the basis of accurate division of lithology, influence factors of rock components and pore structures are comprehensively considered, and the effective holes of the lithologic variable T2 cutoff value are calculated; according to the method, effective porosity calculation models of different nuclear magnetic T2 cutoff values are established according to lithology, a method of fitting a formula according to lithology is adopted, a large amount of nuclear magnetic experiment calibration is not needed, and effective porosity calculation of complex lithology can be realized by utilizing conventional logging, nuclear magnetic resonance T2 spectrum data and experimental pore structure data; compared with a method for calculating the effective porosity through a fixed T2 cut-off value, the method has the advantages that the calculation precision of the effective porosity of the reservoir is greatly improved, key parameters can be provided for reservoir physical property evaluation and saturation calculation, convenience and rapidness are achieved, rapid large-scale application in production is facilitated, and good universality and popularization value are achieved.

The present invention provides a method for quantitatively evaluating the sweet spot quality of conglomerate horizontal wells based on logging-while-drilling (LWD) data. Because some wells lack completion electrical logging data and dipole acoustic wave data, density, P-wave transit time, and S-wave transit time data cannot be directly obtained. LWD and gas logging data must be used to model and effectively model density, acoustic wave, and S-wave transit time. Based on the calculated density, acoustic wave, and S-wave transit time, geological parameters such as porosity, saturation, and permeability can be calculated. Based on S-wave transit time, density, and P-wave transit time, reservoir engineering parameters such as Young's modulus, Poisson's ratio, brittleness index, and maximum and minimum principal stresses can be calculated. The quality of the horizontal well sweet spot can be quantitatively evaluated by comprehensively utilizing the geological sweet spot and engineering sweet spot parameters.

The invention discloses an impeller shell for precisely casting a large-diameter narrow-air-outlet impeller and a shell manufacturing method, and belongs to the technical field of casting. Comprising the following steps: 1) manufacturing a wax mold, assembling a tree and drying; 2) preparing zirconium powder slurry for a first layer; (3) a second layer is sealed after zirconium powder slurry placed for 20-25 h is air-dried; (4) a sand inclusion layer is prepared, specifically, the zirconium powder slurry, zircon sand and mullite sand which are placed for 20-25 h are evenly mixed to prepare mud, air outlets in the periphery of an impeller and holes in the bottom of the impeller are plugged with the mud, and after drying, the mullite sand is poured from the top of the impeller; 5) airing the third layer and the fourth layer by using mullite powder slurry; (6) mullite powder slurry is used for the fifth layer and the sixth layer, a shell cleaning agent is added, and air drying is conducted; (7) sealing the sixth layer to obtain a second sealing layer, and air-drying to obtain the precision casting large-diameter narrow-air-outlet impeller shell. According to the precision casting large-diameter narrow-air-outlet impeller shell, a double-layer sand inclusion process is adopted, the strength is improved, the casting yield is increased, and the casting defects of steel leakage, slag inclusion and insufficient pouring caused by insufficient strength of the shell or existence of gravel clusters and air holes in the shell are overcome.

The invention relates to a low-permeability reservoir CO2 drive gas channeling channel identification method which comprises the following steps: S1, collecting geological data and production dynamic data of a target block well group, and calculating a gas channeling channel discrimination index; s2, calculating the weight of each gas channeling channel discrimination index; s3, calculating an onrush coefficient and correcting a boundary; s4, calculating a membership degree, and standardizing each gas channeling channel discrimination index according to the membership degree to meet the condition that the numerical value is between 0 and 1; s5, static and dynamic index comprehensive discrimination coefficients of the injection wells and the production wells are calculated; s6, calculating comprehensive weights of static and dynamic indexes of each injection well and each production well; s7, calculating a total discrimination coefficient; and S8, determining a three-level classification standard of the gas channeling channel, and judging the development direction of the gas channeling channel. The method solves the problem that an existing gas channeling channel identification method is low in accuracy of gas channeling channel identification due to the fact that the existing gas channeling channel identification method lacks research on a low-permeability conglomerate oil reservoir and does not fully utilize dynamic and static data.

The invention belongs to the field of gravel curtain layer reconstruction, and provides a gravel curtain layer reconstruction method which comprises the steps of stripping, screening, storage, improvement, reconstruction, watering and maintenance, and further provides a soil-stone separation device used in the gravel curtain layer reconstruction method, the soil-stone separation device comprises a separation tank, the top of the separation tank is open, a gravel flow guide bin covers the separation tank, and a sieve plate is rotationally arranged in the separation tank; the sieve plate is arranged in the separation tank and vibrates during rotation, the interior of the separation pipe is divided into a screening bin and a soil receiving bin in an up-down corresponding mode through the sieve plate, and the sieve plate can move upwards through a jacking mechanism so that the sieve plate can be moved out of the separation tank and separated objects can be thrown out all around through centrifugal force. The damaged gravel curtain layer is reconstructed, a crust layer is formed below the gravel layer, the wind erosion resistance can be greatly enhanced, it is guaranteed that strong wind erosion can be effectively resisted for a long time, and meanwhile gravel and original gravel curtain layer soil can be rapidly separated and stacked in a high-quality mode in the gravel curtain layer reconstruction period.

The invention discloses an imaging logging diagram-based glutenite stratum gravel contact form logging evaluation method, which comprises the following steps of: S1, acquiring an imaging logging image of a target well, and extracting and segmenting gravels from the imaging logging image to obtain a segmented binary diagram; s2, the gravel content of the target well is determined according to the segmented binary image, and when the gravel content is smaller than a gravel content threshold value, evaluation is ended; otherwise, entering the step S3; s3, dividing dispersed gravels and contact gravels according to the segmented binary image, and obtaining a binary image of the contact gravels; and S4, gravel contact form parameters are calculated according to the division result of the dispersed gravel and the contact gravel, and the gravel contact form of the target well is evaluated according to the calculation result of the gravel contact form parameters. According to the method, the continuous glutenite stratum gravel contact form of the target well can be accurately obtained according to the imaging logging image.

The present application belongs to the field of oil and gas field development, and particularly relates to a method for characterizing the characteristics of gravel around a horizontal well in a conglomerate reservoir. The method comprises the following steps: (1) using a conglomerate reservoir gravel characteristic identification and analysis software to process FMI imaging logging images and extract gravel parameters; (2) using a multiple linear regression analysis method to carry out sensitivity analysis of the gravel parameters and logging data, and to determine the statistical relationship between the gravel parameters and logging curves; and (3) establishing a model of the logging curves and the gravel parameters, and substituting the logging curve data to measure the gravel characteristics. The present application solves the problem of characterizing conglomerate reservoir gravel, and for the first time realizes the use of conventional logging curves to characterize the gravel parameters around a horizontal well section, thereby providing an optimization direction for multi-cluster volume fracturing technology in a horizontal well section.

The invention belongs to the technical field of unconventional oil and gas development, and particularly relates to a gas-water-rock reaction and particle dissolution-migration in-situ visual quantitative determination method and device based on a micro-fluidic chip. The quantitative determination method comprises the following steps: firstly, designing a chip model containing a real rock core, wherein factors such as a strong heterogeneous structure of the compact conglomerate oil reservoir and strong difference of a pore throat structure are considered at the same time; then, the gas-water-rock reaction and the particle dissolution-migration process are recorded through an optical camera; and finally, analyzing contribution degrees of different minerals to a gas-water-rock reaction and judging different corrosion modes of the conglomerate by combining image processing software and a mathematical model. The method can be used for carrying out in-situ visual quantitative determination on gas-water-rock three-phase reaction, particle corrosion and a secondary migration process in the conglomerate reservoir under the conditions of oil reservoir temperature pressure and fluid chemistry.

The application relates to a method for evaluating a remaining gas sweet spot area of a compact sandstone conglomerate gas reservoir, and belongs to the technical field of oilfield development. The method comprises the following steps: using structures, sedimentary facies and a reservoir model to preferably select a static remaining gas potential area; using a numerical model current pressure and remaining gas abundance to determine a current remaining gas potential area; combining the dynamic and static conditions to preferably select a current remaining gas sweet spot area; carrying out numerical model scheme prediction, using cumulative production, daily production, pressure and remaining gas abundance to determine an optimal scheme; determining a future remaining gas potential area on a pressure and remaining gas abundance diagram predicted by the scheme; combining the dynamic and static conditions to preferably select a future remaining gas sweet spot area; taking the intersection of the current and future remaining gas sweet spot areas to determine a final remaining gas sweet spot area; and deploying a virtual well in the sweet spot area to verify the final remaining gas sweet spot area. The application defines a remaining gas sweet spot area selection method, determines a final remaining gas sweet spot area, and realizes systematic, accurate and rapid selection of a remaining gas sweet spot area of a compact sandstone conglomerate gas reservoir.

The present application relates to a kind of experimental device for studying the influencing factor of water transport rate of sandstone surrounding rock, the experimental device includes base, multifunctional container, three microwave moisture sensors, three micro-pressure transmitters, high-density electrical instrument and data collector.Multifunctional container is equipped with cover and base fence;The front end of base fence is equipped with sample support vertical plate, and the front of sample support vertical plate is equipped with sensor fixed column;Multifunctional container is square hole, and square hole is equipped with sealing buckle;Sealing buckle is inserted with rock sample in contact with square hole;Rock sample is equipped with three sensor layout ports, and is sleeved with three electrode fixed frame, and electrode fixed frame is equipped with copper screw with electrode line;Electrode line is connected with high-density electrical instrument;Three micro-pressure transmitters are in contact with rock sample;Rock sample is uniformly distributed with a plurality of platinum resistance on one side.At the same time, the present application also discloses test method.The present application can realize the influence degree of water transport rate in rock sample under the action of different factors.

The invention belongs to the technical field of sandy conglomerate oil-gas exploration and development, and discloses a sandy conglomerate impurity group content quantitative characterization method and system based on a CT digital core. According to the method, a three-dimensional digital rock core image is obtained through CT scanning and preprocessed, an intelligent large model and a deep learning standard model are constructed, intelligent segmentation and volume content calculation of a miscellaneous base area are achieved, and the geological sweet spot section is judged with the miscellaneous base content, porosity and permeability as parameters. Compared with a traditional slice method, the method has the advantages that the impurity base segmentation IoU is improved to 0.89, the sweet spot / non-sweet spot identification accuracy rate reaches 88.9%, the single sample analysis time is shortened from 72 hours to 8 hours, the problems of low three-dimensional representation precision and poor efficiency are solved, accurate parameters are provided for oil and gas exploration and development, the efficiency is remarkably improved, and the cost is reduced.

The invention provides an electric imaging logging-based dense glutenite micro-crack automatic identification method, which comprises the steps of 1, preprocessing electric imaging logging original data, 2, carrying out interpolation restoration on blank stripes between polar plates in an electric imaging image, 3, carrying out sliding processing on a whole-well-periphery dynamic imaging image, and 4, carrying out sliding processing on the whole-well-periphery dynamic imaging image. The method comprises the following steps of 1, setting a feature extraction algorithm and corresponding different radiuses, 2, marking a training set, 3, setting a classifier, 4, training the classifier, 8, calculating parameters of the microcracks, and 9, generating a result map. The method provides powerful technical support for reservoir evaluation, exploration and development of compact glutenite.

The present invention relates to the technical field of fine velocity modeling of the surface layer in oil geological exploration, and particularly relates to a method for making a time-depth conversion template for shallow conglomerate. The making method includes the following steps: (1) Selecting the time and depth data of the target area as research samples, and performing layering, which are, from top to bottom, a low-velocity layer, a velocity-decreasing layer, and a high-velocity layer; (2) Obtaining the thickness information according to the depth data in step (1), performing regional spatial interpolation, and obtaining and calculating the thickness of the low-velocity layer and the vertical delay time of each sample; (3) Performing normalization correction on the time-depth data of the velocity-decreasing layer; (4) Using a high-order polynomial based on the least squares method to fit the time-depth data of the velocity-decreasing layer corrected in step (3), determining the parameters, and the obtained high-order polynomial is the time-depth conversion template of the velocity-decreasing layer. The present invention has the advantage of high simulation accuracy.

The application relates to the technical field of carbon dioxide storage simulation experiments, and discloses a simulation test device and method for monitoring fault activity of carbon dioxide storage, wherein a geological similar body is filled in a test box body, and the geological similar body comprises, from a low layer to a top layer in the test box body, a first fine sandstone layer, a coal layer, a siltstone layer, a conglomerate layer and a second fine sandstone layer; the first fine sandstone layer, the coal layer, the siltstone layer and the conglomerate layer are misaligned and filled in the test box body to form a fault structure; a carbon dioxide injection assembly and a water injection assembly are respectively located outside the test box body, and an output end of the carbon dioxide injection assembly is inserted into a fault position of the siltstone layer; an output end of the water injection assembly is inserted into the conglomerate layer; the application realizes real-time recording and monitoring of the mechanical behavior of a stratum and the change of an environmental thermal state during carbon dioxide injection and storage by using multiple sensors for real-time monitoring.

The application discloses a kind of special low permeability sandy conglomerate reservoir well bottom flow pressure level keeping prediction method, including the statistical special low permeability sandy conglomerate body oil reservoir core sample's permeability and pressure sensitivity relationship data;Calculate the ratio of the permeability of rock sample under each level net confining pressure condition and the permeability tested under initial net confining pressure condition;Draw the relationship curve of net confining pressure value and permeability change rate;Predict the permeability loss ratio of reservoir near the bottom of production well with the increase of production pressure difference;Calculate production pressure difference, compare permeability classification data, calculate the permeability reduction ratio in the range of salt well bottom and the influence on fluid production rate.The application is mainly aimed at the production characteristics of the production well of special low permeability sandy conglomerate reservoir, explains the internal cause of its change, and provides development theoretical basis;It has guiding significance for the initial development mode, method and production pressure control of special low permeability sandy conglomerate reservoir.

The present application discloses a construction method for large-section rectangular pipe jacking in a cemented conglomerate stratum, comprising the following construction steps: arranging a pipe shed (1) on the outer contour of the top of an excavation cross-section to achieve support of the top of the excavation cross-section; dividing the excavation cross-section into a rock stratum region (2) and a soft soil region (3), arranging positioning drilling holes (4) in the rock stratum region, and arranging positioning grouting reinforcement holes (5) in the soft soil region; performing horizontal drilling in the rock stratum region on the basis of positioning points of the drilling holes, and after drilling of the drilling holes is completed, injecting a bentonite-slaked lime mixed slurry into the drilling holes to fill the drilling holes; performing horizontal high-pressure jet grouting pile construction at the grouting reinforcement holes in the soft soil region to achieve reinforcement of the soft soil stratum; and after treatment of the soft soil region and the rock stratum region is completed, using a pipe jacking machine to perform jacking along a jacking route. The present application enables smooth jacking construction in complex strata having abrupt stratum changes.

The invention discloses a glutenite physical property evaluation method based on XRF element logging. The glutenite physical property evaluation method comprises the steps of rock debris sampling, cleaning, drying and grinding; measuring rock debris element types and rock debris element contents by XRF (X-Ray Fluorescence) elements; establishing a quartz gravel content index based on the quartz gravel characteristic element Si, and calculating the quartz gravel content index; establishing a granite gravel content index based on the granite gravel characteristic elements Na + K, and calculating the granite gravel content index; establishing an interstitial filler content index based on the interstitial filler characteristic elements Ca + Mg and Al + Fe + Ti, and calculating the interstitial filler content index; establishing a glutenite physical property evaluation standard based on the relationship between the quartz gravel content index, the granite gravel content index and the interstitial substance content index of the drilled well and the glutenite physical property; and performing reservoir evaluation by using the established glutenite physical property evaluation standard, and the like. According to the invention, glutenite stratum physical property evaluation can be carried out in real time while drilling.

The invention discloses a compact conglomerate hydraulic fracture initiation and expansion simulation optimization method and system, and the method comprises the steps: based on a compact conglomerate physical model and a hydraulic fracture expansion fluid-structure interaction control equation, inserting a fracture expansion unit considering interface characteristics and a hydraulic fracture initiation expansion finite element criterion; establishing a hydraulic fracture propagation numerical model of the compact conglomerate; based on the dense conglomerate hydraulic fracture expansion numerical model, fracture initiation and expansion characteristic analysis of hydraulic fractures in the dense conglomerate considering interface characteristics is carried out, and a simulation analysis result is obtained; and the simulation analysis result serves as a theoretical basis for optimization of the hydraulic fracturing scheme of the compact conglomerate reservoir, the hydraulic fracturing scheme of the compact conglomerate reservoir is optimized, and the optimized hydraulic fracturing scheme of the compact conglomerate reservoir is obtained. The fracturing initiation and expansion simulation method of the hydraulic fracture in the compact conglomerate considering the interface characteristics is formed, and a theoretical basis is provided for optimization of a compact conglomerate reservoir hydraulic fracturing scheme.

The invention discloses a high-precision complex conglomerate three-dimensional digital model reconstruction method, which comprises the following steps of: sampling a natural conglomerate on site to obtain an enough number of loose single gravels; performing three-dimensional CT scanning on each gravel to obtain a three-dimensional digital model of a single gravel; grouping the single gravels according to shape features, and obtaining grading features of the gravels in the natural conglomerate; performing rotation and scaling operation on each gravel three-dimensional digital model to obtain gravel three-dimensional digital models with different sizes and inclination angles; establishing a three-dimensional rock mass digital model; inserting each group of gravels in the three-dimensional rock mass digital model in batches according to grading characteristics; and establishing and outputting a high-precision complex conglomerate three-dimensional digital model slice. According to the three-dimensional digital model reconstruction method, the high-precision complex conglomerate three-dimensional digital model similar to the natural complex conglomerate in feature can be accurately established, and on the basis, destructive tests of the high-precision complex conglomerate three-dimensional digital model completely consistent in structure under various loading conditions can be carried out.

The invention discloses a compact glutenite lithology identification method and system, electronic equipment and a storage medium, and relates to the technical field of logging, and the method comprises the following steps: according to logging curve measurement data of an uncored well section of a target research area, a model formula of a quasi-skeleton difference factor and a model formula of an argillaceous characteristic factor, obtaining a lithology identification result of the uncored well section of the target research area; calculating to obtain the value of the quasi-skeleton difference factor of each logging sampling point of the uncored well section and the value of the shale characteristic factor of each logging sampling point; and determining the lithology of each logging sampling point of the non-cored well section according to the value of the quasi-skeleton difference factor of each logging sampling point of the non-cored well section, the value of the shale characteristic factor of each logging sampling point and a lithology identification standard. According to the method, the lithology of the non-cored well section can be judged and identified, and the problems of high application cost and low identification precision in the lithology identification process of the deep compact glutenite reservoir in the prior art are solved.

The application provides a conglomerate reservoir reservoir classification method, and belongs to the technical field of oil and gas development exploration, and solves the problem that the existing oil layer classification method cannot accurately predict the oil production and development potential of different wells. A conglomerate reservoir reservoir classification method comprises the following steps: calculating the static Young's modulus of all wells according to the measured longitudinal wave data of all wells, the measured transverse wave data of part of the wells and the measured static Young's modulus of part of the wells; obtaining the fitting relationship between the static Young's modulus and the rock brittleness index according to the measured mineral content data of part of the wells and the measured static Young's modulus of part of the wells; calculating the rock brittleness index of all wells based on the fitting relationship between the static Young's modulus and the rock brittleness index according to the static Young's modulus of all wells; and establishing the four-quadrant classification standard of the reservoir reservoir according to the rating parameters and the rock brittleness index of all wells, so as to determine the reservoir reservoir category.

The invention discloses a glutenite roadbed compaction quality detection method, system and device and a storage medium, and the method comprises the steps: building a nonlinear mapping relation between the compaction degree and actual multi-source information through finite element simulation and a field calibration test; whether the roadbed compactness reaches a preset value or not is judged based on the nonlinear mapping relation; if yes, not marking, and otherwise, marking the under-voltage area. Through finite element simulation and a field calibration test, a nonlinear mapping relation between the compaction degree and actual multi-source information is established, the actual multi-source information obtained during actual work of a road roller can be substituted into the nonlinear mapping relation, and whether the roadbed compaction degree reaches a preset value or not is judged through a calculation result. Therefore, whether the compaction degree of the roadbed is qualified or not can be quickly identified, and the technical problem that the filling quality is difficult to check by using a traditional sand filling method and a traditional water filling method in actual engineering when glutenite is used as a roadbed filling material in related technologies is solved.

The present invention discloses a method, device and electronic equipment for determining the productivity of a complex conglomerate reservoir, characterized in that the method comprises: obtaining array sensing radial invasion characteristic parameters of the reservoir; using the array sensing radial invasion characteristic parameters to characterize the oil content of the reservoir; and solving the problem that the existing productivity determination method for complex conglomerate reservoirs does not take into account the influence of different lithologies on the resistivity curve value, thereby failing to indicate the oil content well.

The invention discloses a method for predicting a glutenite high-quality reservoir stratum, and the method specifically comprises the following steps: S1, seismic data interpretation processing: carrying out the frequency extension of seismic data based on a self-adaptive amplitude-preserving frequency extension technology, and obtaining amplitude-preserved high-resolution seismic data; s2, establishing a lithology identification plate: performing pairwise intersection on conventional logging curves by using a cross plot, performing sensitive factor intersection analysis, establishing the lithology identification plate, searching a sensitive curve capable of identifying a high-quality reservoir stratum, and in order to ensure high correlation between the curve and an earthquake, performing curve reconstruction to obtain a reconstructed characteristic curve; s3, model solving: establishing a low-frequency impedance model and a high-frequency reconstruction characteristic curve model D by using a model difference method; s4, initial reservoir stratum inversion: carrying out glutenite reservoir stratum prediction based on the high-resolution seismic data and the low-frequency impedance model to obtain an initial reservoir stratum prediction result; and S5, iterative inversion: based on the initial reservoir stratum prediction result and the high-frequency reconstruction characteristic curve model, carrying out nonlinear data combination on the initial reservoir stratum prediction result and the high-frequency reconstruction characteristic curve model, and finally obtaining an iterative inversion result. On the basis of the self-adaptive amplitude-preserving frequency-expanding technology, the self-adaptive molecular decomposition time-frequency analysis algorithm is introduced, the resolution of seismic data is improved, meanwhile, the predication method of the glutenite reservoir stratum is optimized, and the predication precision of the glutenite high-quality reservoir stratum is improved. The method is suitable for predicting the glutenite high-quality reservoir stratum.

The invention provides an experimental device and method for liquid injection energization after oil reservoir fracturing failure. The invention relates to a liquid injection energizing experimental device after oil reservoir fracturing failure. The liquid injection energizing experimental device comprises a core holder, a displacement device, a confining pressure device, a back pressure device, a bypass device and a nuclear magnetic resonance spectrometer, the rock core holder is provided with an accommodating cavity which is used for accommodating a rock core sample; the displacement device can inject fluid into the rock core sample, the confining pressure device is used for applying peripheral pressure to the rock core sample, the back pressure device is used for establishing reverse pressure at the second end of the accommodating cavity, and the bypass device is used for releasing the fluid in the accommodating cavity; the nuclear magnetic resonance spectrometer is used for measuring the relaxation time of the rock core sample. The real development process of the ultra-low permeability conglomerate oil reservoir is completely simulated, the reliability of experimental data is guaranteed, the liquid injection energy increasing oil displacement efficiency can be quantified, meanwhile, the utilization rule of crude oil in pores with different pore diameters is determined, and a comprehensive experimental basis is provided for parameter optimization of the liquid injection energy increasing process and screening of injected media.

The invention provides a comprehensive geological modeling method and system based on a steep slope glutenite structure, and the method comprises the steps: S1, building a model which can be compared with steep slope glutenite, and obtaining a comparison model; s2, performing configuration hierarchical structure dissection on the established comparison model; s3, establishing a steep slope glutenite configuration hierarchical structure mode; s4, analyzing a sandy conglomerate deposition mechanism of the abrupt slope zone through the coring well; and S5, establishing a comprehensive geologic model of the steep slope glutenite based on the structural hierarchy. The method can quickly and effectively establish a configuration structure hierarchical model conforming to a glutenite deposition mechanism and morphological characteristics, and provides a model basis for geological recognition and interpretation of glutenite in a steep slope zone.