97 results about "Sedimentary rock" patented technology

A pore pressure prediction method for fine-grained hybrid sedimentary rock based on variable P-wave velocity includes: carrying out a P-wave velocity test of rock under different effective stresses, determining a function form of the relationship between acoustic velocity and effective stress, fitting the parameters in the function by optimization, and establishing an evaluation model of effective stress influence term by lithology. According to the measured formation pressure data and the effective stress influence term model, the acoustic velocity background value is deduced, the logging curve is preferred, and the acoustic velocity background value logging evaluation model is established. According to the logging curves of DT and DEN, combined with the lithology identification results, the acoustic velocity background value is calculated, and then the effective stress of the formation is obtained, and then the pore pressure is determined according to the overburden pressure.

The invention relates to a method, a device and equipment for analyzing in-situ formation fracture porosity of mixed rock. Comprising the steps of obtaining original data of a plurality of layers in a target block; taking out a first rock core sample from each layer of the target block, and performing experimental analysis on the first rock core sample of each layer to determine a target layer; taking out a second core sample from the target horizon, and performing a triaxial compression test on the second core sample to obtain a stress index; according to the original data and the stress index, the stratum fracture porosity of the target layer is calculated, the stratum fracture porosity is used for guiding workers to evaluate the real underground in-situ fracture porosity of the reservoir, and therefore an oil and gas reservoir exploitation plan of the target layer is made. The stratum fracture porosity calculated by the method represents the fracture porosity of the target horizon in the target block and represents in-situ characteristics in the stratum, so that the accuracy of reservoir evaluation is improved. A worker can formulate an oil and gas reservoir exploitation plan according to the formation fracture porosity, and the oil and gas reservoir yield is improved.

The invention discloses a lithology generality joint feature classification model construction method, which relates to the technical field of intelligent geological prospecting, introduces a cross-scale feature alignment mechanism, and utilizes scale transformation factors to dynamically match the resolutions of macroscopic, mesoscopic and microscopic features, thereby avoiding feature distortion caused by direct fusion; for example, in a volcanic rock and sedimentary rock mixed area, rough texture of a remote sensing image originally conflicts with smooth response of a logging curve, but through alignment processing, the model can automatically balance credibility of different data sources, and misjudgment is reduced; inter-scale dependence modeling is further enhanced through introduction of the feature association graph, vertical sequence association of a thin interbed is captured through a graph structure, the boundary of a millimeter-level thin layer is made clear, and the problem of fuzziness caused by neglecting of interlayer interaction in an existing scheme is solved.

The invention discloses a method for depicting the boundary of a sedimentary system through a heavy mineral combination based on an intelligent sensing system, and relates to the technical field of geological exploration, and the method comprises the steps: obtaining the heavy mineral content data of a sedimentary rock sample collected by a target layer section and a peripheral exposed section of the target layer section in a research area through the intelligent sensing system; carrying out statistics on the contents of various heavy minerals in the collected samples, calculating the percentage of each heavy mineral, and carrying out data arrangement to form a data table; and importing the heavy mineral content data into data analysis software, carrying out Q-type clustering analysis, and classifying according to the similarity between samples. According to the method, the heavy mineral content data of the sedimentary rock sample is obtained through the uniformly distributed sampling points, compared with traditional single-point sample analysis, the spatial distribution characteristics of a material source system in a research area can be more comprehensively reflected, the boundary of a sedimentary system can be accurately divided, the recognition precision of sedimentary facies distribution is improved, and the analysis accuracy of the sedimentary facies is improved. And more detailed basic data are provided for geological research and resource exploration.

The invention relates to the technical field of intelligent sensing systems, and provides a cross-well earthquake and VSP-based VTI anisotropic parameter inversion method, which comprises the following steps: acquiring first arrival information and speed information recorded by a zero well spacing VSP in a target exploration area, and establishing a near-well initial vertical speed model; acquiring first arrival information of excitation points at different depths of an inter-well earthquake in the area, and calculating to obtain the transverse velocity of a VTI anisotropic medium at each depth; solving the anisotropic medium value of each depth VTI; obtaining a VTI anisotropic medium delta value; and performing interpolation smoothing along a geologic horizon by using the epsilon value and the delta value of the VTI anisotropic medium to obtain an epsilon field and a delta field of the VTI anisotropic medium so as to form a VTI anisotropic body. The objective of the invention is to solve the problem of low accuracy of sedimentary rock feature analysis caused by poor matching of a velocity model and anisotropy parameters in traditional VTI anisotropy research.

A method for evaluating geological hydrogen source rock in a region is provided. The method includes: collecting magnetic susceptibility data from a plurality of subsurface locations in the region; receiving geophysical survey data of the region, wherein the geophysical survey data comprises geophysical data collected from above ground; tying the magnetic susceptibility data of the plurality of subsurface locations to the geophysical survey data; generating a geologic map of igneous rock, metamorphic rock, or mafic mineral- or iron-rich sedimentary rock within the region based on the magnetic susceptibility data using a model; and determining, based on the geologic map, a target zone of the geological hydrogen source rock with a potential for hydrogen production or with the potential for hydrogen accumulation.

The invention discloses a test platform for a deep sedimentary rock soil layer in an extreme environment and a building method. The test platform comprises a vacuum base, a hollow transparent cover, a vacuum top plate, a first temperature control assembly, a second temperature control assembly, a plurality of sample loading assemblies and a plurality of gas filling pipes, one end of the hollow transparent cover is fixed on the vacuum base, and the other end is fixed on the vacuum top plate to construct a vacuum environment; the first temperature control assembly is fixed to the top face of the vacuum base, the second temperature control assembly is fixed to the bottom face of the vacuum top plate, the multiple sample loading assemblies are sequentially stacked between the first temperature control assembly and the second temperature control assembly till the target height is reached, and each sample loading assembly is filled with a corresponding simulated rock-soil sample. Confining pressure is applied to the simulated rock-soil sample through the inflation pipe, so that the deposition state of a deep rock-soil layer on the surface of an extraterrestrial planet is truly simulated, a test platform is provided for a ground simulation drilling test, and the feasibility of a deep drilling technology is verified.

The present invention discloses a method for identifying ancient glacial till based on nitrate trioxygen isotopes, comprising the following steps: performing a first crushing on an ancient sedimentary rock sample to obtain 60-mesh sample particles; ultrasonically cleaning and drying the sample particles with ultrapure water, and performing a second crushing to obtain a 200-300-mesh sample powder; extracting nitrate from the sample powder by soaking in ultrapure water to obtain a supernatant containing nitrate; first taking out V1 volume of supernatant from the supernatant containing nitrate, measuring the nitrate content in V1 volume of supernatant, and obtaining an optimal supernatant sampling volume V2 for testing the sample on a machine based on the nitrate content in V1 volume of supernatant; taking out V2 volume of supernatant from the remaining supernatant for testing on a machine, obtaining nitrate nitrogen and oxygen isotope data results of the sample to be tested, and then obtaining an ancient glacial till identification result. The present invention realizes the identification of ancient glacial till based on the non-mass effect of nitrate oxygen isotopes.

This invention relates to a method for characterizing the distribution of primordial water in rocks and its application. The method includes: preparing particles from fresh rock cores as fresh samples and particles from dried rock cores as dried samples; calculating the scattering length density of the rock to be tested based on the dried sample, and preparing a deuterated toluene contrast-matching fluid with the same scattering length density as the rock to be tested; immersing the fresh sample and the dried sample in the deuterated toluene contrast-matching fluid respectively to obtain immersion samples; performing small-angle neutron scattering (SANS) experiments on the dried sample and the immersion samples respectively; obtaining pore structure information before and after immersion based on the experimental results; and determining the distribution of primordial water in the rock to be tested based on the pore structure information. This invention, based on SANS experiments, provides a novel experimental technique for characterizing the distribution and water saturation of primordial water in sedimentary rocks, with advantages such as being non-destructive, efficient, time-saving, and highly accurate.

The invention discloses a multi-information constraint complex lithology interpretation method and device. The method comprises the following steps: establishing a symbiotic relationship among various lithologies to be explained according to coring data, logging data and logging data in a research area based on the orderliness of vertical superposition and spatial distribution of sedimentary strata; on the basis of the current symbiotic relationship, the logging data is corrected, an intersection chart between the lithology and the sensitive logging curve is drawn, and the intersection chart is used for being combined with the symbiotic relationship to achieve lithology interpretation in the research area. According to the method, multiple information is integrated, multiple to-be-explained symbiotic relationships among lithology are used as constraints, and logging data are reasonably corrected, so that the prediction precision of the rendezvous chart between the lithology and the sensitive logging curve is higher; the method can be used for lithology interpretation of complex lithology, such as sedimentary rock, intrusive rock and intrusive rock overlying and underlying metamorphic rock co-development areas.

This application provides a method, apparatus, equipment, and storage medium for quantitative evaluation of oil layers in mud-class reservoirs, belonging to the field of oil and gas exploration and development technology. In this method, based on the parameter values ​​of multiple logging parameters of a first reference block in the target block, the fine-grained sedimentary rock reservoirs in the first reference block, the effective reservoirs within the fine-grained sedimentary rock reservoirs, and the distinction between industrial and non-industrial oil flow layers within the effective reservoirs can be made, thereby determining a set of quantitative evaluation thresholds. These multiple logging parameters include natural gamma, resistivity, spontaneous potential, total organic carbon content, compensated density, NMR porosity, and NMR saturation. This set of quantitative evaluation thresholds is used to identify industrial oil flow layers in the target block. The quantitative evaluation thresholds determined by the above method can efficiently and accurately identify industrial oil flow layers in the target block, thus providing a reliable basis for subsequent oil and gas exploration and development, and improving the efficiency of oil and gas exploration and development.

The invention provides a sandstone reservoir porosity quantitative prediction method under a double-height and double-depth background, and relates to the technical field of oil-gas exploration and development, and the method comprises the steps: obtaining a rock sample of a target stratum of a research region; determining lithofacies types of sedimentary rocks in the research area; obtaining particle size distribution histograms of different lithofacies types through particle size analysis; measuring the pore size and the pore distribution type in the rock sample; determining the diagenesis type of the research area; establishing a statistical relationship between the porosity and the ground temperature gradient through the pore distribution type and the pore size; constructing a pressure field of the research area to obtain a pressure coefficient of the research area; and performing fitting superposition through the porosity, the lithofacies type, the particle size distribution histogram, the statistical relationship, the pressure coefficient and the diagenesis type, and predicting the porosity distribution range of the sandstone reservoir. By comprehensively considering multiple factors such as formation temperature, pressure, burial depth, diagenesis and the like, high-precision prediction of the reservoir porosity is realized.

The invention belongs to the technical field of sedimentary geology research, and discloses a quantitative sedimentary rock classification evaluation method and system based on biological disturbance. The method comprises the following steps: acquiring a high-resolution image of a unit area of a field outcrop or core sample; identifying a relics fossil or a biological disturbance area in the high-resolution image, and obtaining a biological disturbance quantity percentage of the high-resolution image by using a unit grid method; identifying the belonging number of the relics fossils in the high-resolution image; measuring to obtain the diving hole diameter of each relics fossil, and obtaining the diving hole diameter of the maximum relics fossil; obtaining the natural layer thickness of the field outcrop or rock core sample and the average particle size of the surrounding rock; calculating to obtain a biological disturbance coefficient; and based on the biological disturbance coefficient of the field outcrop or rock core sample, evaluating to obtain a classification evaluation result of the sedimentary rock. When a researcher performs classification evaluation on the same or similar sedimentary rock samples, a relatively consistent result can be obtained, and the repeatability and comparability of evaluation are enhanced.

The invention provides a method for determining oil and gas reservoir forming period based on monazite in-situ U-Pb dating, which comprises the following steps: collecting sedimentary rock and metamorphic rock samples of a petroliferous basin, screening out authigenic monazite particles with an annulus structure from the samples of the petroliferous basin, and carrying out in-situ U-Pb dating on the authigenic monazite particles to determine the oil and gas reservoir forming period. Acquiring initial U-Pb age data of the sample; verifying the preliminary U-Pb age data of the sample by combining with a standard sample to obtain the accurate age of the sample; the method comprises the following steps: analyzing a monazite annulus structure, identifying a multi-stage fluid flow event, establishing a mapping model of a basin thermal evolution history and an oil and gas reservoir forming period, and determining the basin oil and gas reservoir forming period according to the mapping model of the basin thermal evolution history and the oil and gas reservoir forming period. The breakthrough of the oil and gas reservoir forming period from'indirect inference 'to'direct dating' is realized, and the dating precision of the oil and gas reservoir is improved.

The invention discloses a pulveryte lithofacies identification method based on deep learning, and relates to the technical field of deep learning and sedimentary rock lithofacies identification, and the method comprises the steps: collecting lithofacies curve data and microstructure image data, screening feature parameters, and generating a standardized multi-modal feature set through an exclusive analysis engine; calling a specific model to perform hierarchical feature extraction on the microstructure image to obtain a deep microstructure feature vector; inputting the two types of features into an exclusive network, and outputting a preliminary recognition result through cross-modal attention weight distribution; and performing inversion correction and dynamic adjustment on the preliminary result by adopting a specific algorithm, and constructing a lithofacies classification system in combination with feedback information to complete accurate division. According to the method, through multi-source feature deep fusion, cross-modal correlation enhancement and multi-link collaborative optimization, efficient and accurate identification of the lithofacies of the pulveryte rock is realized, complex lithologic features are adapted, and support is provided for technical application in related fields.

The application discloses a fine-grained sedimentary rock facies identification method based on deep learning, relates to the technical field of deep learning and sedimentary rock facies identification, and comprises the following steps: collecting facies curve data and microstructure image data and screening characteristic parameters, generating a standardized multi-modal feature set through a special analysis engine; calling a specific model to perform hierarchical feature extraction on the microstructure image to obtain a deep microstructure feature vector; inputting the two types of features into a special network to output a preliminary identification result through cross-modal attention weight distribution; and adopting a specific algorithm to perform inversion correction and dynamic adjustment on the preliminary result, combining feedback information to construct a facies classification system to complete accurate division. Through multi-source feature deep fusion, cross-modal correlation enhancement and multi-link collaborative optimization, the application realizes efficient and accurate identification of fine-grained sedimentary rock facies, adapts to complex lithological characteristics, and provides support for technical application in related fields.

The present invention discloses a high-precision uranium-lead ratio testing system and method for apatite, which relates to the technical field of uranium-lead dating. The testing system includes a Resolution LR-S155 193nm ArF excimer laser ablation system and a Thermo Scientific iCap TQ inductively coupled plasma mass spectrometer; the testing system follows the standard methods commonly used in laboratories. The testing method includes the following steps: S1. Pretreatment: cutting, cleaning, drying, and target preparation of the apatite sample; S2. Instrument analysis: including instrument debugging, pre-ablation of the sample, and data processing; S3. Data processing: obtaining the U-Pb age calculation result of the apatite sample according to the data results obtained in the instrument analysis in step S2 and the corresponding age calculation method. The testing system and method of the present invention can meet the limitation that the dating method has no age time range, and solve problems such as the lack of suitable absolute dating techniques for the early Cenozoic strata and the rarity of absolute dating of late Miocene sedimentary rocks and fossils.

The invention discloses a sediment source tracking method for numerical simulation of clastic sedimentary rock deposition, and the method comprises the following steps: S1, data collection: the geological data of a research area are widely collected, the topographic data cover a high-precision digital topographic measurement result, and the accurate mastering of topographic relief is ensured; geochemical data of the rock sample are obtained through an advanced analysis instrument in a professional laboratory, and the accuracy of element analysis is guaranteed; deposited layer thickness data are explored by means of various exploration means. According to the established numerical model, various factors in the sediment carrying and depositing process are comprehensively considered, the movement track of the sediment can be simulated more truly, the tracking precision is improved, refined tracking of the sediment source is achieved through multi-level tracer system construction and tracer dynamic updating management, and the tracking precision is improved. The source and movement history of the sediment can be better reflected, and the advantages of the method in the aspects of accuracy, efficiency and reliability are ensured through strict effect evaluation.

A method for evaluating geological hydrogen source rock in a region is provided. The method includes: collecting magnetic susceptibility data from a plurality of subsurface locations in the region; receiving geophysical survey data of the region, wherein the geophysical survey data comprises geophysical data collected from above ground; tying the magnetic susceptibility data of the plurality of subsurface locations to the geophysical survey data; generating a geologic map of igneous rock, metamorphic rock, or mafic mineral-or iron-rich sedimentary rock within the region based on the magnetic susceptibility data using a model; and determining, based on the geologic map, a target zone of the geological hydrogen source rock with a potential for hydrogen production or with the potential for hydrogen accumulation.

The invention provides an ancient coastal sand dam prediction method and device, equipment and a medium, and relates to the technical field of oil-gas exploration. Comprising the following steps: acquiring fluctuation data of an ancient landform in a region, wave mark parameters in sedimentary rock, sediment particle diameter and sediment density; according to the fluctuation data of the ancient landform, determining the gradient of the ancient landform of the region; determining the sedimentary paleo-water depth according to the wave mark parameter, the sediment particle diameter and the sediment density in the sedimentary rock; and the thickness of the ancient coastal sand dam is determined according to the paleo-terrain gradient and the sedimentary paleo-water depth. According to the method, the thickness of the paleo-coastal sand dam is determined by analyzing the paleo-terrain gradient and the sedimentary paleo-water depth in the area, the potential reservoir in the area is rapidly identified in the early stage of exploration, and a basis is provided for well drilling deployment.

The invention relates to the technical field of geology and sedimentary data analysis, in particular to a sedimentary rock particle analysis method and system based on an opencv visual library. The method comprises the following steps: firstly, acquiring a high-resolution digital image of a sedimentary rock sample, and preprocessing to enhance the characteristics of clastic particles; processing the image by using an opencv library, automatically identifying and segmenting a single debris particle, and calculating the equivalent diameter of the single debris particle; finally, an analysis report containing particle distribution and particle size statistical information is automatically generated. According to the method, image acquisition, processing, analysis and report generation are integrated into a continuous automatic process, a traditional manual microscope observation and manual measurement mode is replaced, the analysis efficiency is remarkably improved, and the method is suitable for large-scale sample processing. Recognition and measurement are executed through a standardized algorithm, subjective errors are effectively reduced, objectivity and consistency of analysis results are guaranteed, and an efficient and reliable technical means is provided for sedimentary rock granularity analysis.

The invention discloses a granular bio-organic fertilizer based on seabed sedimentary rock and a production process thereof, and relates to the technical field of organic fertilizers, the granular bio-organic fertilizer comprises 50-70 parts of seabed sedimentary rock powder, 20-40 parts of agricultural waste, 10-20 parts of animal waste, 3-5 parts of humic acid, 0.3 part of a composite bacteria solution, 5-10 parts of biochar, and 1-2 parts of phosphate minerals; a physical porous structure can pass through; a chemical element library; a cross-scale collaborative network is formed by biological interface reaction, microorganisms, humic acid and agricultural wastes, and the problems of soil degradation, crop bottlenecks and environmental risks are systematically solved.

A method comprises identifying a depositional form of a mineral phase in a sedimentary rock sample based on a measurement of a parameter indicative of a size of crystallites of the mineral phase in the rock sample.

The present invention provides a method for evaluating the composition and structure of ancient lake biomes, relating to the fields of paleoecology and oil and gas geology, and comprising the following steps: S1, obtaining two rock samples from lacustrine fine-grained sedimentary rocks; S2, performing kerogen separation and enrichment on one rock sample, and determining the major categories of ancient lake organisms under microscopic observation; S3, based on the major categories of organisms, performing gas chromatography, gas chromatography-mass spectrometry, and isotope mass spectrometry analysis on the other rock sample to identify the composition and content of biomarker compounds with biogenic significance and to identify the organism type; S4, based on the preservation efficiency of the identified biomarker compounds in the environment and the quantitative generation relationship between the biomarker compounds and their parent sources, restoring the original content of the compounds and determining the structure of the ancient lake biomes. The present invention has the following beneficial effects: accurate conclusions, high feasibility, and solves the problems of multi-source interpretation of the same type of biomarker compounds and restoration of the original content of the biomarkers.

The application discloses a method for quantitatively analyzing mercury in different occurrence states in sedimentary rocks, belongs to the technical field of geological rock analysis, extracts kerogen from whole rock, respectively determines the mercury content and the organic carbon content of the whole rock and the kerogen, then carries out high-temperature thermal desorption analysis on equal quality of the two, obtains a thermal desorption curve, divides the release stages of different mercury occurrence states according to the thermal desorption curve, and calculates the content and proportion of mercury in each stage, and finally combines the total mercury content of the whole rock, the mercury content of the kerogen and the mass ratio, and obtains the inorganic mercury content through mass balance calculation. The method divides mercury into organic matter combined state (in kerogen) and inorganic combined state through physical separation and high-temperature pyrolysis, overcomes the multi-solution problem of traditional correlation fitting, significantly improves the accuracy and reliability of mercury as a volcanic activity tracer, and verifies the experimental data through mass balance calculation, avoiding the misjudgment of a single fitting method.

The invention discloses an automatic extraction device for solid insoluble organic matters in sedimentary rocks, which is characterized in that a sample sealing treatment system is arranged, and a sealing box is used for isolating acid gas generated in the extraction process of the solid insoluble organic matters, so that the pollution to the surrounding environment is avoided, and the health of experimenters is not influenced; the sample circulating tray system is arranged, a sample tray is driven by a motor to rotate in a stepping mode so as to be automatically in butt joint with the power liquid changing system, during liquid feeding, a liquid feeding assembly can be in butt joint with different sample cups in sequence, and liquid is injected into the sample cups; the liquid discharging assembly can be in butt joint with different sample cups in sequence and discharge liquid in the sample cups; by arranging the PLC automatic control unit, automation of the solid insoluble organic matter extraction process can be achieved, manual participation is not needed in the whole process or manual participation can be greatly reduced, all the process steps are strictly executed according to the set standard, and efficiency can be improved. The invention further discloses a method for automatically extracting the solid insoluble organic matter in the sedimentary rock.

The present invention discloses a microscopic image analysis method for fine-grained sedimentary rocks based on ImageJ, which includes taking pictures of shale thin sections containing siltstone under a polarized light microscope and saving the pictures; decomposing and converting the microscopic images into 8-bit images according to the three primary colors of red, yellow, and blue, respectively adjusting the color thresholds that can reflect the siltstone minerals and organic matter, and converting the 8-bit images into binary images; constructing a two-dimensional coordinate system for the binary images, statistically analyzing the target areas of the siltstone minerals and organic matter in the binary images, and determining the image area ratio occupied by the target areas and the distribution trend of the target areas; the present invention can automatically statistically identify the proportion of coarse-grained minerals and organic matter content in the microscopic images of fine-grained rocks such as shale and siltstone, and can obtain the mineral particle size distribution, average particle size data, image area ratio of the rocks, and the mineral distribution trend of the rocks.

The present invention belongs to the technical field of oil and gas resource exploration and discloses a classification method, system, medium, equipment, and terminal for fine-grained sedimentary particles. Based on multi-scale, multi-field scanning electron microscopy identification technology, the microstructural images of fine-grained sedimentary rocks are spliced ​​and identified using FE-SEM. The identified images are then grayscale processed using ImageJ software to determine the microstructural characteristic parameters of the fine-grained sedimentary particles. Nanoindentation experiments are used to measure the micromechanical properties of the fine-grained sedimentary particles, including hardness and elastic modulus. A five-unit characterization method is constructed using particle size, flatness, angularity, elastic modulus, and hardness to determine the characteristics of the fine-grained sedimentary particles. Based on the principle of the five basic properties of fine-grained sedimentary particles, the combination types of fine-grained sedimentary particles are classified. The novel image analysis technology of the present invention is more comprehensive and intuitive than local observation under a scanning electron microscope, providing new ideas for quantitative characterization and qualitative analysis of microstructures.

The invention discloses high-pressure jet grouting pile equipment for a sedimentary rock pebble bed and a construction method of the high-pressure jet grouting pile equipment, and belongs to the field of foundation construction.The high-pressure jet grouting pile equipment comprises a crawler provided with a guide rail stand column and a mounting mechanism, a rotary chuck and a positioning mechanism are arranged on the guide rail stand column in a sliding mode, and a drill rod is detachably connected with a power head arranged on the rotary chuck; the positioning mechanism is used for limiting and driving a protective sleeve arranged on a drill rod in a sleeving mode, the protective sleeve is formed by sequentially connecting sleeve units end to end, the mounting mechanism is used for mounting the sleeve units to be mounted to be coaxial with the drill rod, the mounting mechanism comprises a base, a supporting frame and a hydraulic cylinder, and the base is arranged above the positioning mechanism; the lower end of the supporting frame is rotationally arranged on the base, the upper end of the supporting frame is used for temporarily fixing a sleeve unit to be installed, one end of the hydraulic cylinder is rotationally arranged on the base, and the other end of the hydraulic cylinder is rotationally connected with the supporting frame. When the sleeve units are installed, non-stop operation can be achieved, each sleeve unit limits the drill rod, and the perpendicularity of the drill rod is guaranteed.

This application provides an experimental method for testing the permeation efficiency of mixed sedimentary rock cores, including: cutting the mixed sedimentary rock core into thin sections for clay mineral analysis; weighing a standard core and recording the weight as m1; performing a displacement experiment on the standard core and saturating it with oil; immersing the standard core in oil and aging it in a constant temperature chamber, then weighing it and recording the weight as m2; measuring the T2 spectrum of the standard core at its spatial location and calculating the peak area S1; weighing the heat-shrink tubing and recording the weight as m0; wrapping the standard core circumferentially with heat-shrink tubing, placing it in a hanging ring and suspending it on an electronic balance, immersing it in the permeation fluid, and recording the weight data at permeation equilibrium as m3; measuring the T2 spectrum of the standard core at its spatial location and calculating the peak area S2; calculating the permeation efficiency based on the gravimetric method; calculating the permeation efficiency using the nuclear magnetic resonance peak areas before and after the permeation experiment; and calculating the permeation efficiency of the mixed sedimentary rock core. This method can accurately guide the effective development of mixed sedimentary rock reservoirs.