146 results about "Reservoir type" patented technology

The invention relates to the technical field of shale oil phase state evaluation, in particular to a nanometer space shale oil in-situ phase state and shale oil reservoir type intelligent evaluation method which comprises the steps that a pressure maintaining rock core is obtained from a shale target layer series; the method comprises the following steps: taking out a blocky frozen-state pressure-maintaining rock core, quickly crushing, putting into a pyrolysis device sample boat, feeding into a pyrolysis furnace, acquiring pyrolysis data at each acquisition moment in a pyrolysis process, determining a comparison interval coefficient at the current moment, and constructing an accumulated comparison coefficient for adjusting control parameters so as to adjust the pyrolysis temperature; the method comprises the following steps: preparing a pressure-maintaining rock core, rapidly heating a heat release sample, separating the sample into various monomeric compounds to obtain a pressure-maintaining rock core pyrolysis gas chromatography spectrogram, calculating the content of each component, using simulation software and combining thermodynamic parameters of oil and gas components to obtain a shale oil P-T phase diagram, and further determining a nano space shale oil in-situ phase state and a shale oil reservoir type. The accuracy, efficiency and convenience of shale oil phase state and oil reservoir type evaluation are improved.

The invention discloses a well logging water saturation calculation method and device, equipment and a medium, and relates to the technical field of oil and gas field exploration and development geological research, and the method comprises the steps: preprocessing a well logging curve of a crack and pore composite compact sandstone reservoir, and calculating the parameter information of a crack according to the processed curve; correcting the deep lateral resistivity value in the processed curve to obtain a corrected resistivity value; calculating a target exchange coefficient and a resistance increase rate of the rock core; determining a logging cementation index according to the parameter information of the fracture and the target exchange coefficient, dividing reservoir types, and fitting the core water saturation and the resistance increase rate of different reservoir types to obtain fitting results; obtaining a logging saturation index and a logging lithologic coefficient according to an Archie formula and a fitting result, and determining the logging water saturation based on the corrected resistivity value, the logging cementation index, the logging saturation index and the logging lithologic coefficient. And the logging water saturation can be accurately calculated.

The invention provides a construction method of a horizontal well reservoir interpretation model, and relates to the technical field of shale oil-gas field development, and the construction method comprises the following steps: obtaining a target oil testing result and a target parameter corresponding to a fractured section of a target horizontal well; performing correlation analysis on the target parameters according to the target oil testing result, and determining sensitive parameters sensitive to oil-water characteristics in the target parameters; constructing a target relation model according to the sensitive parameters; and establishing a comprehensive interpretation model for interpreting the reservoir type of the horizontal well. According to the method, the target relation model for calculating the lithology index, the oiliness index and the pore structure index is established, and the comprehensive interpretation model for interpreting the reservoir type of the horizontal well through the three indexes is established, so that the characteristics of multiple aspects such as lithology, oiliness and pore structure of the reservoir can be more comprehensively reflected; therefore, the precision of reservoir type interpretation is improved, and accurate data support can be provided for horizontal well fracturing staged clustering.

The invention provides a fractured reservoir type evaluation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining conventional logging information of a fractured reservoir, and solving the total porosity PorT, matrix porosity PorB and fracture porosity PorFra of the reservoir according to a conventional method; calculating a fracture reservoir development index RECP, and defining reservoir development levels (class I, class II and class III) through the RECP value; calculating a reservoir type main control factor index ZKYS, and defining fracture development characteristics (a high angle, a low angle and a medium-high angle) through the ZKYS; and establishing a reservoir type evaluation method through a cross plot technology. According to the method, quantitative evaluation of the fracture type is achieved by applying a conventional logging method, the coincidence rate is high compared with imaging logging, the logging interpretation evaluation level of the fractured reservoir is improved, and the application range and prospect are quite wide.

The invention provides a pumped storage reservoir leakage parameterization investigation and arrangement method based on reservoir type classification, and the method comprises the steps: dividing a pumped storage power station reservoir into a plurality of reservoir types according to the position of the reservoir and the landform characteristics of a reservoir region; setting reservoir leakage investigation key parts; outputting a parameterized reservoir leakage exploration and drilling workload scheme by adopting a reservoir leakage exploration and drilling scheme parameterization algorithm according to the reservoir type, topographic features and reservoir leakage exploration key parts of each reservoir type; training and identifying library type classification, and constructing a library type data source; and carrying out reservoir leakage parameterized investigation arrangement based on the reservoir type. According to the invention, for leakage investigation elements emphasized during the investigation and design of the pumped storage power station, pumped storage reservoir type classification and leakage parameterization investigation are combined through intelligent identification and parameterization arrangement rules, the investigation and arrangement efficiency is improved, manual field climbing point selection is greatly reduced, and the working efficiency is improved. And the efficiency and the accuracy of reservoir leakage investigation arrangement work are improved.

The invention provides a shale reservoir grading evaluation method. The shale reservoir grading evaluation method comprises the following steps: acquiring petrology, geochemistry and pore structure parameters of different shale reservoirs by utilizing at least two experimental test methods; calculating a multi-scale fractal parameter of the pore structure of the shale reservoir; according to the obtained petrology, geochemistry, pore structure and multi-scale fractal parameters, reservoir evaluation is conducted, and shale reservoir grading is completed. According to the method, shale reservoir petrology, geochemistry and pore structure parameters are obtained by comprehensively utilizing multiple means, pore structure multi-scale fractal parameters are calculated, reservoir characteristics are evaluated by combining multiple types of parameters, and reservoir grading evaluation is completed; the problem that a single test method or a single calculation method cannot systematically analyze the pore structure of the reservoir, divide the type of the reservoir and carry out reservoir evaluation is avoided, and the accuracy, effectiveness and comprehensiveness of grading evaluation of the shale reservoir are improved.

The invention discloses a continental facies shale condensate gas reservoir horizontal well productivity numerical simulation method which comprises the following steps: 1) obtaining production characteristic related data of related wells in a continental facies shale condensate gas reservoir research area, and comparing and analyzing the production characteristics of the wells; 2) carrying out gas reservoir modeling according to the production characteristic related data, and establishing a matrix and crack system multiphase multicomponent model; 3) solving the gas reservoir numerical model according to fluid-rock physical property parameters, well and production plan related data and initial condition related data; 4) on the basis of the established gas reservoir numerical model, fitting production history of each well, analyzing fluid phase state characteristics, and fitting phase state parameters of the gas reservoir numerical model; 5, productivity simulation is carried out through the optimized gas reservoir numerical model, development dynamic prediction is carried out on all wells, and a corresponding reasonable production allocation plant.The model established through the method is more suitable for the gas reservoir type of shale condensate gas reservoirs.

The invention discloses a method for predicting a high-quality reservoir of deep-buried matrix type tight sandstone. The method comprises the following steps: acquiring production data and reservoir physical property parameters of a target work area; drawing a porosity cumulative frequency and cumulative probability distribution diagram and a permeability cumulative frequency and cumulative probability distribution diagram according to the production data and the reservoir physical property parameters; respectively determining a porosity inflection point, a first permeability inflection point and a second permeability inflection point according to the porosity cumulative frequency and cumulative probability distribution diagram and the permeability cumulative frequency and cumulative probability distribution diagram; selecting a plurality of samples of the target work area, and determining a permeability upper limit point according to the plurality of samples; according to the porosity inflection point, the first permeability inflection point, the second permeability inflection point and the permeability upper limit point, reservoir types are divided, and a high-quality reservoir is determined. The method not only provides scientific basis for tight sandstone gas prediction, but also provides theoretical guidance for exploration and development of tight sandstone gas with similar geological backgrounds, and has important practical value for exploration and development of deep-layer and ultra-deep-layer tight sandstone gas.

The invention relates to the technical field of oil-gas exploration, and discloses a gas reservoir numerical simulation method based on a gas storage, which comprises the following steps: establishing a geological simulation model based on the geological characteristics of the gas storage and the type of a gas reservoir, establishing a numerical simulation model based on the geological simulation model, and realizing gas reservoir production dynamic history fitting with a set time span. The geological simulation model and the numerical simulation model are corrected and perfected, and the corrected and perfected geological simulation model and the corrected and perfected numerical simulation model are used for production tracking of the gas injection well and the gas recovery well of the gas storage; wherein the correction refers to error data correction, and the perfection refers to data supplementation. According to the method, the problems of low multi-cycle injection-production pressure and yield fitting precision and the like in the prior art are solved.

The present application relates to a kind of carbonate buried hill oil reservoir reconstruction gas storage evaluation method and device, the method comprises: the cap rock sealing property and fault sealing property of carbonate buried hill oil reservoir are evaluated, and the trapping sealing property evaluation result is obtained;Attribute data body is obtained by multi-window dip scanning to time domain seismic data, and based on attribute data body, coherent attribute body, curvature attribute body and ant body attribute body are generated, and coherent attribute body, curvature attribute body are respectively fused with ant body attribute body, and the favorable reservoir characterization result is obtained;Reservoir space in the oil-gas-water three-phase saturation under the condition of reconstruction gas storage is calculated, and the capacity parameter evaluation result is obtained;Based on the trapping sealing property evaluation result, favorable reservoir characterization result and capacity parameter evaluation result, buried hill oil reservoir reconstruction gas storage evaluation result is generated.The present application method is suitable for the evaluation of reservoir type reconstruction gas storage, and provides good technical support for the design of gas storage scheme.

The invention relates to the technical field of gas well reservoir identification methods, in particular to a method and device for eliminating coal seam interference in gas well reservoir accurate identification, and the method comprises the following steps: determining the existence of a coal seam by using a while-drilling gamma curve, a resistivity curve and a rock debris logging coal dust proportion; calculating a dynamic influence factor; on the basis of a gas survey data correction formula, obtaining a gas survey correction value of any depth point, and on the basis of a resistivity correction formula, obtaining correction resistivity; and determining the reservoir type by combining the gas logging correction value, the correction resistivity, the gas logging humidity ratio and the interval transit time. According to the method, firstly, the gas logging data and the logging resistivity are corrected, the influence of the coal seam on the gas logging data and the resistivity data is eliminated, the abnormal interference of the coal seam on the gas logging data and the logging data is effectively removed, and then the gas logging correction value obtained after correction, the correction resistivity, the gas logging humidity ratio and the interval transit time are combined, so that the gas logging data and the logging resistivity are obtained. According to the method, the precision and the efficiency of gas reservoir identification are improved.

The embodiment of the invention discloses a mudstone and shale reservoir type identification method and device, equipment and a medium. The method comprises the following steps: acquiring a target proportion of a target pore in a storage space of a test sample; the test sample is made according to a rock sample, the rock sample is obtained from a target stratum, the target stratum is a mudstone or shale reservoir, and the target pores are organic pores, inorganic pores and cracks; determining a target area corresponding to the target proportion of the target pore in a triangular chart; different areas in the triangular chart correspond to different proportions of target pores, and different areas correspond to different reservoir types; and determining the reservoir type corresponding to the target area as the reservoir type of the target stratum. According to the technical scheme, after the reservoir types are quantitatively divided, the reservoir types of the target stratum can be accurately recognized, and guidance and reference are provided for quantitative evaluation, exploration and development of oil and gas reservoirs.

The invention belongs to the technical field of oilfield development, and discloses an oil and gas reservoir modeling processing system based on clastic rocks and a use method of the oil and gas reservoir modeling processing system. The data processing system is used for processing fault and logging data, geological stratification data and well perforation data, the grid management system is used for dividing and encrypting grid types, the model building system is used for building a digital-analog model and an oil-gas reservoir relation model, and the digital-analog management system is used for outputting the built model. And the established digital model is convenient to modify and reconstruct, so that the digital model pretreatment work requirement of complex oil and gas reservoir types is met, the historical fitting speed of subsequently realizing numerical simulation is improved, and the modeling treatment of clastic rock oil and gas reservoirs is facilitated.

The invention discloses a complex riverway geologic modeling method based on automatic pickup of multiple object source directions, and belongs to the technical field of oil-gas exploration and development, and the method comprises the following steps: S1, obtaining the plane and longitudinal distribution characteristics of a riverway; s2, establishing a three-dimensional space distribution model of the river channel body in different periods, and processing boundary data of the river channel in different periods; s3, calling azimuth angle data to establish a sand body distribution model in the river channel in different periods; s4, single well reservoir types are divided, and reservoir type distribution models in the river channels in different periods are established; and S5, discretizing the porosity curve of the single well, calling azimuth angle data to establish porosity models under different reservoir types, and establishing permeability models under different reservoir types. According to the built river channel sand body and physical property parameter model, the situation that reservoir physical property distribution is controlled by river flow direction variability material sources is truly represented, the method is suitable for scenes with large work areas and complex river channel distribution, and modeling timeliness and accuracy can be improved.

The present application relates to a kind of thin interbed type deposit high-quality reservoir prediction method, comprising: obtaining the geological data, seismic data and well logging data of the region to be analyzed, well seismic combination tracking interpretation oil group top, bottom interface;With the oil group top, bottom interface as constraint, utilize the three-dimensional seismic data acquisition three-dimensional seismic inversion data;With the oil group top, bottom interface as constraint, according to the three-dimensional seismic inversion data and the well logging data are combined, obtain oil group internal relative isochronous sedimentary interface;According to the oil group internal relative isochronous sedimentary interface, based on three-dimensional seismic inversion data, each small layer reservoir plane distribution in oil group is solved;According to the three-dimensional seismic inversion data, based on the information of actual drilling well, sandstone probability body seismic data is solved;Utilize actual drilling well information to construct reservoir classification standard, realize single well reservoir type division;According to the sandstone probability body seismic data, with single well reservoir type as constraint, carry out high-quality reservoir space distribution prediction.

This application provides a method and apparatus for seismic physical simulation of reservoirs. The method includes: fabricating a corresponding reservoir physical model based on the obtained reservoir type to be simulated; preparing an oil-water emulsion in a corresponding proportion based on the obtained oil saturation to be measured; immersing the reservoir physical model in the oil-water emulsion and using a vacuum method to ensure that the reservoir physical model is fully filled with the oil-water emulsion to obtain a saturated reservoir physical model; encapsulating the saturated reservoir physical model in an epoxy resin layer to form a seismic physical model; immersing the seismic physical model in a pre-set water tank and acquiring seismic experimental data; and selecting target characterization attributes sensitive to oil saturation from the seismic experimental data. This allows for the acquisition of seismic experimental data corresponding to different oil saturations in the reservoir, and further optimization of target characterization attributes sensitive to oil saturation.

This invention discloses a method and system for predicting reservoir types, comprising: obtaining a cross-interpretation chart of sandstone and mudstone transverse and longitudinal wave impedances based on the lithological distribution information, P-wave impedance curves, and S-wave impedance curves of the target layer in the target well; constructing new elastic impedance curves for distinguishing sandstone and mudstone based on P-wave and S-wave characteristics using principal component analysis based on the sandstone and mudstone transverse and longitudinal wave impedances in the cross-interpretation chart; constructing a new three-dimensional elastic impedance data volume based on the new elastic impedance curves and the three-dimensional inversion data volume of transverse and longitudinal wave impedances; and predicting the reservoir type of the entire well section of the target well based on the new three-dimensional inversion data volume of elastic impedances. This invention can construct elastic impedance attributes more suitable for reservoir identification based on transverse and longitudinal wave impedances, and can realize reservoir interpretation using a single parameter, overcoming the problem of low sandstone identification accuracy under impedance overlap, and improving the accuracy and efficiency of sandstone reservoir identification.

The application provides a method and system for calculating the conductivity of a sand-acid fracturing reservoir simulation system, which comprises the following steps: constructing a simulation parameter combination set around sand-acid fracturing operation parameters for reservoir types with sand-acid fracturing requirements; analyzing fracture acid erosion data of different reservoirs by using a preset fracture acid erosion calculation model, and analyzing the embedding depth and deformation data of the proppant in combination with the injection rate parameters and the proppant data; further analyzing the sand concentration of sand-acid fracturing, and setting a rough body simulation distribution coefficient in combination with the injection rate, so as to form a reservoir fracture model that presents a real fracturing state; analyzing the permeability state of the reservoir fracture model after fracturing based on the rough body simulation distribution coefficient and the reservoir closure pressure; and further calculating the corresponding conductivity in combination with the fracture width calculated according to the fracture acid erosion data, the embedding depth and deformation data of the proppant. The method solves the problem that the sand-acid fracturing conductivity cannot be quantitatively analyzed, and provides support for field acid fracturing design and productivity prediction.

The invention discloses a bottom water oil and gas reservoir horizontal well yield increase and water control method, and relates to the field of bottom water oil and gas reservoir development, the method comprises the following steps: dividing land and offshore scenes through multi-scene reservoir parameter dynamic coupling, and obtaining comprehensive coupling parameters through parameter normalization and dynamic weight calculation; in combination with perforation-fracturing parameter mutual feedback, construction parameter adaptation is achieved through multi-parameter linkage calculation; a high-yield water section is identified through distributed optical fiber sensing, and a degradable plugging agent is directionally injected to complete meter-scale segmented water control; matching a productivity prediction sub-model corresponding to the oil reservoir type, and optimizing the prediction precision through deviation correction; production data is collected based on dual-mode transmission, a regulation and control instruction is generated through processing and fusion, period optimization is carried out, and a closed-loop regulation and control system is formed. Meanwhile, an emergency treatment and recovery process is set, and construction safety is guaranteed. According to the method, core technologies such as dynamic coupling, parameter mutual feedback and accurate water control are integrated, and the problems that bottom water coning is fast, yield increasing and water control collaboration is poor, and cross-scene adaptation is insufficient are solved.

The present application provides a method and device for discriminating shale reservoir types, relating to the technical field of geological exploration and development, including: performing pyrolysis and total organic carbon content analysis on pressure-maintained sealed cores of shale oil reservoirs in the study area, and determining the genetic type of crude oil accumulation corresponding to the shale oil reservoir based on the hydrocarbon generation potential discrimination method; microscopically analyzing and determining the crude oil storage space corresponding to the shale oil reservoir based on the laser confocal method; obtaining the geological data and crude oil storage space corresponding to the shale oil reservoir in the study area, and determining the reservoir type corresponding to the shale oil reservoir according to the geological data; and determining the shale reservoir type based on the reservoir type and crude oil accumulation genetic type corresponding to the shale oil reservoir. By discriminating shale reservoir types mainly based on the differences in shale oil genesis, the present application can reliably reveal the characteristics of shale reservoirs, provide a reliable evaluation basis for subsequent reservoir resource analysis, and improve the effectiveness of subsequent reservoir exploration deployment and development plan selection.

This invention relates to the field of shale gas content monitoring technology while drilling, and provides a method, apparatus, electronic equipment, and storage medium for obtaining shale gas content while drilling. The method includes: establishing a reservoir type classification standard based on porosity and total gas content; determining the total gas content range corresponding to each category of the reservoir type classification standard according to the standard; establishing a scatter plot of the organic carbon content versus total gas content; and obtaining the organic carbon content corresponding to each category of the reservoir type classification standard based on the total gas content range, thereby establishing a shale reservoir type classification standard based on organic carbon content. This invention enables the determination of total gas content in shale gas while drilling. Compared to traditional, precise but costly methods using closed core sampling laboratories to analyze gas content, this method eliminates the need to send core samples to a laboratory, significantly reducing costs and enabling large-scale on-site evaluation during drilling.

This invention discloses a method, system, and medium for optimizing parameters of complex tight oil and gas reservoirs. The method includes: determining reservoir sections based on logging curves; selecting test sections based on these sections; obtaining the number, location, and calcium content of natural fractures based on the logging and imaging curves of the test sections; classifying reservoir types according to the number, location, and calcium content of natural fractures; including porous reservoirs, fractured reservoirs, and mixed reservoirs; determining perforation locations using different perforation determination methods for different reservoir types; optimizing the scale of proppant addition and fluid usage using different stimulation techniques and parameters; optimizing the pump sequence using different fracturing methods; and completing the proppant addition and fluid usage in stages. This invention overcomes the problems of abnormal construction and poor matching between fracturing parameters and reservoir conditions in conventional proppant fracturing methods in complex reservoirs, enabling full utilization of complex reservoirs and increasing single-well production.

The invention discloses a method and system for judging the type of an oil and gas reservoir, and the method comprises the steps: calculating a plurality of component content characteristic indexes at different positions according to the logging gas logging distribution data of a test well in a target work area; according to the multiple component content characteristic indexes, constructing an oil and gas reservoir type identification chart; and according to the actual drilling gas logging value of the drilling well or the drilling well to be completed in the target work area, the oil and gas reservoir type identification chart is utilized to determine the oil and gas reservoir type of the corresponding position. The accuracy of determining the type of the oil and gas reservoir before well completion is improved.

This invention provides a method and application for reservoir type classification, evaluation, and production capacity prediction, relating to the field of oil and gas development technology. The method includes the following steps: obtaining geological and engineering characteristic parameters of the study wells in the block; based on the aforementioned geological and engineering characteristic parameters, statistically determining the maximum and minimum values ​​of each parameter of the study wells in the block, and normalizing all parameter data; establishing a multi-level evaluation system for factors affecting horizontal well reservoirs using the modified hierarchical method, establishing reservoir classification standards, and dividing the reservoirs; and establishing a reservoir stimulation production capacity prediction model using the modified hierarchical method. This method can quantitatively evaluate the fracturing development effect of horizontal wells and guide well and section selection for stimulation. This method has advantages such as simple calculation and strong operability, and has broad application prospects, playing an important guiding role in fracturing optimization design.

The embodiment of the invention discloses a reservoir type identification method and device, equipment and a medium. The method comprises the following steps: acquiring a target ratio of a target space to a storage space in a casting body sheet; the casting body sheet is manufactured according to a rock core sample, the rock core sample is obtained from a target reservoir, the target space comprises primary pores, secondary pores and other pores, and the other pores are cracks or holes; and determining the reservoir type corresponding to the target ratio as the reservoir type of the target reservoir based on a predetermined corresponding relationship between the ratio of the target space to the reservoir space and the reservoir type. According to the technical scheme, after the reservoir types are quantitatively classified, the reservoir type of the target reservoir can be conveniently and accurately determined according to the target ratio, guidance and reference are provided for quantitative evaluation and exploration and development of the oil and gas reservoir, and on the other hand, a basis is provided for development of the oil and gas reservoir towards the direction of big data and artificial intelligence.

The invention relates to the technical field of gas-bearing property monitoring of shale gas while drilling, in particular to a method and device for acquiring gas-bearing property of shale gas while drilling, electronic equipment and a storage medium, the method for acquiring gas-bearing property of shale gas while drilling comprises the following steps: establishing a reservoir type classification standard based on porosity and total gas content; according to the standard, obtaining a total gas content range corresponding to each type of the reservoir type classification standard; and establishing a scatter diagram of the organic carbon content and the total gas content, and obtaining the organic carbon content corresponding to each type of the reservoir type classification standard according to the total gas content range corresponding to each type of the reservoir type classification standard, thereby establishing the shale reservoir type classification standard based on the organic carbon content. According to the method, the total gas content of the shale gas while drilling is obtained, and compared with a traditional accurate and high-cost method for analyzing the gas content in a closed coring laboratory, the method does not need to send the rock core to the laboratory, so that the cost is greatly reduced, and large-scale field evaluation while drilling on a production field is realized.

The invention discloses a low-permeability oil and gas reservoir identification method and device, a medium and electronic equipment. The method comprises the following steps: acquiring reservoir parameters, wherein the reservoir parameters comprise reservoir abundance, permeability, porosity, effective sand body thickness, oil saturation and starting pressure gradient; determining the comprehensive weight of the reservoir parameters according to the identification degree of the reservoir parameters on the low-permeability oil and gas reservoir; determining a reservoir level identification interval according to the reservoir parameter comprehensive weight; and based on the reservoir level identification interval, identifying the low-permeability oil and gas reservoir. The accuracy of identifying the type of the low-permeability oil and gas reservoir can be improved.

This invention belongs to the field of shale oil production prediction technology, and discloses a method for shale oil production prediction and parameter optimization based on physical information constraints. It constructs a training database by designing samples using Latin hypercube sampling and simulating them using an integrated geological engineering model. A neural network model integrating physical information constraints is built, including a fracture volume prediction model and a production prediction model, and trained by combining data-driven loss and physical law loss in the loss function. Using the trained model as a surrogate model, and combining it with the NSGA-II multi-objective optimization algorithm, iterative optimization of fracture volume, single-well production, and net present value of the entire area is performed in three levels to obtain differentiated fracturing operation parameter schemes for different reservoir types. This invention effectively improves the accuracy and physical interpretability of production prediction under small sample conditions, and can efficiently optimize fracturing parameters, significantly improving the economic benefits of shale oil extraction.

The invention relates to a method for identifying a clastic rock low-resistivity oil layer in a salt lake sedimentary environment, and belongs to the technical field of oil exploration and development. The identification method for the clastic rock low-resistivity oil layer in the salt lake sedimentary environment comprises the following steps: determining an identification standard of a dry layer and a production layer in a target layer of a research area based on a corresponding relation of porosity data, permeability data and reservoir types of the target layer encountered by a standard well in the low-resistivity research area; based on the corresponding relation of the irreducible water saturation, the movable water saturation and the reservoir type of the standard well drilling encountering target layer in the research area, the identification standards of the oil layer, the same oil-water layer and the water layer in the production layer in the target layer in the research area are determined. According to the method for identifying the clastic rock low-resistivity oil reservoir in the salt lake sedimentary environment, the reservoir seepage characteristics are considered, the Archie formula is corrected, and the movable water saturation is introduced, so that the identification accuracy of the low-resistivity oil reservoir can be effectively improved.

The invention relates to the technical field of oil and gas field development, and discloses a chemical system determination method, system and device for a multi-layer oil reservoir and a medium. The method comprises the steps that the current high-permeability layer seepage resistance of a chemical system existing in a core of the multi-layer oil reservoir is obtained; based on the seepage resistance of the current high-seepage layer and a first preset threshold value, whether the chemical system plays a resistance adjusting role or not is determined; under the condition that the chemical system exerts the resistance adjusting effect, the actual injection amount of the chemical system is obtained; determining whether the actual injection amount of the chemical system is greater than or equal to the set injection amount; under the condition that the actual injection amount is greater than or equal to the set injection amount, acquiring a small layer utilization coefficient; and under the condition that the small-layer utilization coefficient is smaller than or equal to a second preset threshold value, determining that the current chemical system is an effective chemical system of the multi-layer oil reservoir. The method is suitable for various reservoir types through the seepage capacity of different chemical systems in the reservoir and the requirements of all layers of the multi-layer oil reservoir for different seepage resistance systems.