71 results about "Facies" patented technology

The invention discloses a salt lake carbonate rock multi-parameter quantitative classification and reservoir evaluation method, and relates to the technical field of oil-gas exploration. The method comprises the following steps: selecting a key well in an exploration block, collecting a plurality of salt lake carbonate rock samples, preparing an analysis sample under an anhydrous condition, quantitatively measuring a salinity parameter, a mixing index and a diagenesis strength parameter by utilizing the analysis sample, and determining a salinity code, a mixing code and a diagenesis phase code. And naming the salt lake carbonate rock based on the salinity code, the mixed product code and the lithogenous phase code, directly evaluating the salt lake carbonate rock reservoir according to a naming result, and performing single well comprehensive evaluation on the salt lake carbonate rock reservoir. According to the method, the influence of salinity, mixed accumulation and diagenesis strength on formation and evolution of the salt lake carbonate rocks is fully considered, accurate division of the types of the salt lake carbonate rocks is achieved, the reservoir naming result is directly associated with reservoir evaluation, and technical support is provided for standardized evaluation of the salt lake carbonate reservoir.

The invention relates to a construction method, device, equipment and medium of a complex geological reservoir model, and relates to the technical field of oil exploration and development. Comprising the following steps: combining obtained riverway scale parameter data obtained by field actual measurement, a three-dimensional digital outcrop profile of an outcrop profile of a research area, a geological knowledge database of configuration units at all levels of a sub-facies reservoir of the research area, and sedimentary microfacies distribution of the outcrop profile of the research area obtained by combining the riverway scale parameter data to obtain X, Y, Z, Z, Z and Z; performing two-dimensional training image slicing in three directions of Z and Z; and performing three-dimensional training image simulation on the two-dimensional training image slices by using an s2Dcd-DS coupling algorithm, and performing three-dimensional geological modeling by using a multi-point geostatistics modeling algorithm to obtain a three-dimensional geological model. According to the construction method provided by the invention, the complex geological conditions and structural characteristics of the complex geological reservoir such as the plains of the braided river delta can be effectively represented, and oil and gas distribution, well location deployment and remaining oil excavation of the braided river reservoir can be guided.

Methods and systems are configured for accessing a three-dimensional (3D) facies model including a set of layers, each layer including boundaries data representing initial facies boundaries for a set of facies represented in that layer; accessing geological constraints data representing facies trends for the set of facies represented in the facies model; for each layer: for each facies type in the layer, determining, for a portion of the layer, a distance from the portion of the layer to a facies boundary for that facies type in the layer; and based on the distance for each facies type and the facies trends represented in the geological constraints data, determining a facies probability value; stacking the layers each including facies probability values for each facies type represented in that layer; simulating facies trends for each facies type; and generating a 3D facies trend model including the simulated facies trends.

A method for recognizing a dominant carbonate rock reservoir in a complex facies zone, comprising: determining a lithologic type and lithologic physical properties of a study section (S100); carving out a development pattern configuration of a special geologic body in the lithologic type (S200); on the basis of the development pattern configuration, using an iterative modeling method to construct an inversion low-frequency model under a phase controlled constraint (S300); using the inversion low-frequency model to perform multi-parameter pre-stack inversion of the study section to obtain an inversion parameter data volume of the study section (S400); and using a multi-parameter intersection method to predict a dominant reservoir distribution in the inversion parameter data volume (S500). Also provided are an apparatus for recognizing a dominant carbonate rock reservoir in a complex facies zone, and an electronic device. By means of the phase controlled constraint, a configuration attribute representing geomorphic facies and lithologic inversion representing lithologic facies are comprehensively considered, and the attribute lateral resolution and the inversion longitudinal resolution are combined, thereby achieving high-precision recognition of a dominant carbonate rock reservoir in a complex facies zone.

The invention provides a sedimentary diagenesis facies seismic geology combined prediction method. The prediction method comprises the steps that S1, reservoir parameters and reservoir diagenesis facies types corresponding to reservoir core slices are determined; s2, determining pore structure types of multiple types of lithogenous phases; s3, classifying the sedimentary diagenetic facies, and dividing the sedimentary diagenetic facies into favorable sedimentary diagenetic facies and secondary favorable sedimentary diagenetic facies; s4, establishing a linear multivariate discriminant function of the sedimentary lithogenous phase; s5, determining the distribution characteristics of the sedimentary diagenesis facies on the single well; s6, rock physical elastic parameters of various wells are calculated; step S7, screening sensitive elastic parameters capable of distinguishing favorable sedimentary diagenesis phases and secondary favorable sedimentary diagenesis phases; and S8, determining the spatial distribution range of the favorable sedimentary lithogenous phase and the secondary favorable sedimentary lithogenous phase. And a foundation is laid for application of sedimentary diagenesis phase distribution characteristics in oil-gas exploration.

The invention discloses a phase control prediction method for a tight sandstone breaking joint body based on pre-stack and post-stack combined constraint, and relates to the technical field of geophysical exploration. According to the method, delamination processing is carried out on the post-stack data, multi-attribute collaborative analysis is utilized, and the macroscopic boundary of the fracture zone is accurately described to serve as the geological constraint; under the boundary constraint, advantage features of multiple pre-stack fracture prediction results are intelligently fused through the fuzzy competitive neural network, full-scale three-dimensional representation of a fracture system is achieved, the accuracy, reliability and geological consistency of fracture prediction are improved, and a more accurate and reliable decision basis is provided for oil-gas exploration and development of complex reservoirs.

The invention relates to the technical field of strata facies type identification, in particular to a method and device for rapidly identifying shale strata facies, and the method comprises the following steps: obtaining a to-be-detected strata-containing shale sample; the method comprises the following steps: scanning a to-be-detected shale sample containing the strata by using a portable handheld X-ray fluorescence spectrometer, constructing a measuring point position, and measuring elements in the sample point by point at the measuring point position to obtain the mass percent content of the elements; performing contrast microscopic analysis, selecting corresponding part of point positions at the element measuring point positions to prepare rock slices, and identifying the exact lamina phase type of the rock slices under a microscope; according to the method, the element content in the to-be-detected shale sample containing the lamina is measured through the portable handheld X-ray fluorescence spectrophotometer, the lamina phase type is judged and identified through the element content, identification of a single lamina can be completed within one minute, identification of the lamina phase type can be rapidly completed in a field environment in a lossless and low-cost mode, and the identification accuracy is high. And the identification efficiency of the lamina phase type is improved.

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 application relates to the geological exploration and oil and gas exploration technical field, specifically relates to a kind of based on geology-geophysical analysis's beach facies dolomite distribution prediction method.The present application first obtains the vertical development characteristics of dolomite in target interval of single well in study area, then determines the vertical seismic reflection characteristics of dolomite, carries out forward modeling on the basis of the vertical seismic reflection characteristics of single well, obtains the lateral seismic reflection characteristics of single well, then different lithology is decomposed by waveform decomposition technology, finally, by comparing waveform component and the vertical development favorable facies zone single well geology and seismic reflection characteristics, the distribution of dolomite is determined.The identification method provided by the present application is not only simple to operate, and in the distribution of dolomite reservoir which is difficult to accurately identify under conventional seismic data, the distribution of dolomite reservoir of different types, different thicknesses and different development positions can be quickly identified, which provides reliable basis for the exploration and development of beach facies dolomite gas reservoir.

The invention discloses a high-precision recovery marine facies compact limestone sedimentary environment and oil-gas dessert area prediction method. The method comprises the steps that S1, an argillaceous limestone phase, an argillaceous limestone phase, a mud-powder crystal limestone phase and a paste limestone phase are divided through X-ray diffraction and slice identification; s2, utilizing a chemical weathering index CIA, a Sr / Ca salinity index and delta 13Corg organic carbon isotope to synergistically recover paleo-climate and paleo-hydrological conditions; s3, combining total organic carbon TOC, organic matter maturity Ro, terrestrial input Al and Ti content and nanopore development degree, and establishing an organic matter-rich high-quality lithofacies evaluation standard; and S4, according to an evaluation standard, well drilling, well logging and seismic data are fused to predict the oil and gas sweet spot area. Through the four steps of lithofacies division, paleoenvironment recovery, evaluation standard establishment and dessert area prediction, high-precision recovery of the marine facies compact limestone sedimentary environment is realized, the dessert area prediction success rate is improved to 78%, and efficient technical support is provided for oil-gas exploration.

The invention discloses a logging rock facies clustering method, system and device, a medium and a program product, and relates to the field of geological rock facies clustering, the method comprises the following steps: obtaining a sampling sequence formed by a plurality of sampling segments of each well, each sampling segment comprising a plurality of logging channel items; carrying out image conversion on the logging channel item of each sampling segment by utilizing a Grubm angle field function to obtain a three-dimensional tensor image of each sampling segment; extracting a first depth feature of the three-dimensional tensor image of each sampling segment, and performing linear transformation on the first depth feature according to a preset feature mapping vector to obtain a second depth feature of each sampling segment; calculating a cosine similarity between any two sampling segments according to the second depth feature, constructing a similarity distance matrix between the two sampling segments according to the cosine similarity, and aggregating the similarity distance matrix to obtain a clustering tree; and clustering the logging curve of the to-be-logged well based on the clustering tree to obtain a clustering result of the logging lithofacies.

The application discloses a river facies sand body connectivity quantitative prediction method based on a characteristic factor master control, and belongs to the field of oil and gas field exploration and development and geophysical technology. The method is based on the data of drilled wells in a target area, carries out sand body connectivity analysis, and screens out typical sand bodies with reliable connectivity. Then, the horizontal gradient and waveform change index attributes of the screened sand bodies are extracted to construct a master control characteristic factor. Meanwhile, a plurality of seismic attributes reflecting sand body connectivity are extracted, and high sensitivity attributes are reserved as auxiliary characteristic factors through optimization processing. Finally, based on a depth forest algorithm, a mapping model between a multi-factor combination and sand body connectivity is established through machine learning, and the corresponding factor combination of a to-be-predicted sand body is input into the model, so that the quantitative determination of the connectivity can be realized. The application has high accuracy and timeliness in processing the river facies sand body connectivity prediction problem, and provides a new idea and method for the sand body connectivity research under similar complex geological conditions.

The present application belongs to the technical field of oil and gas exploration, and particularly relates to a kind of exploration method of restricted tidal flat facies carbonate rock gas reservoir. Based on rock, logging data, seismic data, experimental test analysis data, through microfabric analysis, macro and micro combination approach, through rock fabric and mineral identification, restricted tidal flat facies rock development characteristics and regional scope are identified and defined; wherein the rock samples include pore development samples and samples with lithology of dark mudstone and argillaceous carbonate rock; frequency spectrum analysis method, weighted average method, organic matter mass balance method and coherent technology method are used to construct high-frequency sequence lithology-electricity interpretation model and multi-scale through-source fault transport pattern; thus, restricted tidal flat facies carbonate rock gas reservoir accumulation mode is obtained to explore restricted tidal flat facies carbonate rock gas reservoir. The present application innovatively explores restricted tidal flat facies carbonate rock gas reservoir, and solves the technical problems of identification and fine description of this type of gas reservoir.

The invention provides a continental facies shale interlayer bedding seam activation capability evaluation method and device and a medium, and belongs to the technical field of oil and gas reservoir development. The method comprises the following steps: establishing a continental facies shale three-dimensional cohesion unit method multi-cluster fracturing model, performing multi-factor simulation analysis by using the model to obtain fracturing crack propagation forms under different factors and activation conditions of a shale interlayer bedding interface, and drawing an interlayer bedding interface activation chart. According to the method, the three-dimensional cohesion unit method multi-cluster fracturing model is adopted to describe the three-dimensional multi-cluster fracturing fracture form of the continental facies shale, the fracture expansion form and the bedding interface opening condition can be accurately evaluated, and the model can consider the mutual disturbance effect among the multi-cluster fractures and the stress interference effect of the adjacent bedding interfaces; the activation condition of each bedding interface under the conditions of different clusters, crack initiation positions, displacements and liquid viscosities is obtained through variable analysis, and help is provided for the fracturing construction process, segment cluster division optimization and construction parameter optimization.

This application discloses a lithofacies analysis system and method based on a shale geological-mechanical coupled lithofacies classification system, relating to the field of shale lithofacies analysis. The system construction module determines the geological-mechanical coupled lithofacies classification system based on information data from the data acquisition module; the prediction module determines single-well lithofacies prediction information; the feedback adjustment module adjusts the single-well lithofacies prediction information based on set rock mechanics and geostress parameter ranges to obtain adjusted information; the three-dimensional model construction module uses a genetic algorithm to perform seismic attribute embedding and integrated inversion based on seismic attribute data and adjusted information, and uses a co-kriging method to construct a three-dimensional model of well-seismic co-modeling of geological-mechanical coupled lithofacies; the parameter model determination module uses a layer-control-facies dual-control method to control constraints and determine the heterogeneity of the geological-mechanical characteristics of shale layers in three-dimensional space, providing a basis for establishing production areas for the exploration and development of artificial oil and gas reservoirs.

The application discloses a method for identifying lithofacies of carbonate rocks, and particularly relates to the technical field of rock analysis, and comprises the following steps: S1, digital processing of rock slices; S2, analysis of diagenetic sequence characteristics; S3, spatial modeling of lithofacies characteristics; S4, optimization of dynamic determination rules; and S5, attribution of carbonate rock lithofacies. According to the method, backscattering images are collected and subjected to digital processing, the geometric morphology of rock fabric and the element ratio of cements are uniformly quantified, and multiple diagenetic indicators such as pressure solution suture line curvature and top-bottom structure frequency are fused to construct a multi-dimensional characteristic space defined by sedimentary fabric and diagenetic modification. According to the distribution of special phenomena such as bird eye structure, the weight of key parameters and the determination critical value can be dynamically adjusted, and finally, the automatic attribution of lithofacies is realized, and the objectivity and accuracy of the identification of complex carbonate rock lithofacies are effectively improved.

The present application relates to the field of basin forming dynamics and oil exploration technology, in particular to a method for structure-multiple attribute tectonic palaeogeographic reconstruction of deep buried area of superimposed basin, establishing outcrop area and drilling stratum sequence framework and sedimentary facies model; determining vertical structure-stratigraphic unit of deep buried area of superimposed basin; determining spatial distribution of unconformity structure of deep buried area under single tectonic movement; determining main palaeoactive fault and magmatic activity of deep buried area; identifying and determining spatial distribution of seismic stratigraphic characteristics and attributes in single structure-stratigraphic unit; reconstructing tectonic palaeogeography of deep buried area of superimposed basin under single tectonic movement, using outcrop data, drilling and logging data, etc. to carry out comprehensive geology and geophysical analysis, using basin structure and geophysical multiple attributes in different periods to restore tectonic palaeogeography of deep buried area, and providing scientific, reliable and high-precision evidence for cognition and resource exploration of deep and ultra-deep layers under the double conditions of mutual constraint of palaeostructure and palaeogeography.

The invention belongs to the field of petroleum and natural gas exploration and development, and discloses a sea level rising and falling analysis method of a sea-land transition mixing system and a related device. The method comprises the following steps: acquiring drilling coring data, and establishing a semi-quantitative sequence interface recognition model of a sea-land transition mixed phase region; carrying out isochronous sequence division by utilizing a semi-quantitative sequence interface identification model, building an isochronous sequence framework, analyzing the development position of each rock, and summarizing a sequence filling model; and based on the sequence filling model, semi-quantitative analysis is carried out on lifting of the sea level by using the limestone distribution range, and a sea level lifting curve is drawn. According to the method, the geological principle is cut into argumentation, overall semi-quantification is achieved, and the common sequence stratigraphic related problems of the sea-land transition mixed facies area such as layering difficulty and no basis for sea level lifting are well solved. Therefore, the research on the deposition law, reservoir development main control factors and the like is promoted, and a key support is provided for limestone sedimentary facies evolution of a sea-land transition mixed system and an effective reservoir development distribution law.

A method may include obtaining well data regarding a geological region of interest. The method may further include obtaining a geological process model for the geological region of interest. The method may further include determining a simulation region of the geological process model based on a template size and a simulation grid. The method may further include determining a simulation path through the simulation region. The method may further include determining a geological event associated with a predetermined geological facies based on the well data. The method may further include determining a replicate event based on the geological event, a similarity analysis, and using the simulation path. The method may further include assigning the predetermined geological facies to a cell location of the replicate event in the simulation region. The method may further include updating the geological process model to produce an updated geological process model.

The invention discloses a continental facies mud shale crack prediction method and device, equipment and a medium, and relates to the technical field of shale oil exploration and development. The method comprises the following steps: determining a target area, and dividing target horizon lithofacies of the target area to obtain different lithofacies types; according to the lithofacies type, establishing a response relation of a corresponding conventional well logging curve to a crack to determine a target well logging curve, and according to response characteristics of the target well logging curve, determining a well logging curve weight of the target well logging curve; and based on the logging curve weight, processing the target logging curve by using a characteristic parameter analysis method and a fractal dimension analysis method to obtain a fracture density curve, and predicting fractures of continental facies shale according to the fracture density curve. By means of the technical scheme, quantitative prediction of continental facies shale cracks can be achieved.

The invention discloses a trend probability constrained hierarchical phase control modeling method and a three-dimensional geologic model, and belongs to the field of oilfield development, and the method comprises the steps: determining small-layer structure features in a target region, and solving a small-layer stratum thickness map in a given target region boundary range through a Kriging difference method; analyzing the characteristics of different small-layer sand bodies under the guidance of the sedimentary mode to obtain a small-layer sand body thickness map; establishing a trend probability body model; and establishing a three-dimensional geologic model. According to the method, the three-dimensional geologic model is guaranteed to be completely loyalty to well point data, meanwhile, geologists can integrate underground reservoir cognition of different levels into the three-dimensional geologic model, and the established three-dimensional geologic model better conforms to the underground real situation. According to the three-dimensional geologic model established by the method, the geometrical morphology and the contact relation of the target geologic body are represented, and the accuracy of reservoir inter-well prediction is improved. The established three-dimensional geologic model provides favorable guarantee for more accurate reserve calculation and more sufficient well location deployment basis.

Example methods and systems for subsurface reservoir characterization are disclosed. One example method includes obtaining facies data of rock formations of a subsurface reservoir, where the facies data is from a forward stratigraphic modeling (FSM) process applied to the subsurface reservoir. A compaction-porosity model and an acoustic impedance-porosity model are selected from a library of rock physics models based on the facies data. An acoustic impedance model of the rock formations of the subsurface reservoir is determined based on the compaction-porosity model and the acoustic impedance-porosity model. The acoustic impedance model is provided for hydrocarbon exploration of the subsurface reservoir.

The application provides a deep-water gravity flow sedimentary facies combined identification method and system, and the method comprises the following steps: 1) obtaining and aligning absolute depth of multi-source heterogeneous data; 2) constructing a double-branch feature extraction network to perform independent feature dimension reduction; 3) coupling features based on a cross-modal cross-attention mechanism; and 4) rock facies classification and discrimination and virtual reconstruction of a coreless well section. The system comprises a multi-source data access and verification module, a dynamic depth alignment module, a cross-modal feature calculation and discrimination module and a virtual reconstruction and three-dimensional visualization output module. The application breaks the isolated situation of “logging calculation logging and image image”, so that the one-dimensional physical properties of logging and the two-dimensional structural features of image can guide and cross-verify each other in a hidden space, solves the industry problem that the accuracy of deep-water gravity flow facies identification is encountered, and solves the problems of high-precision rock facies analysis and visualization of a coreless well section.

The invention discloses a method, a device, equipment and a medium for judging a lithofacies change rule in a sedimentary stratum. The method comprises the following steps: collecting a rock core sample based on a predetermined collection rule; sorting rock facies units of the rock core samples according to the geological age, counting specified geological parameters of each rock facies unit to obtain a geological parameter sequence of the rock core samples, and determining the concentration quantity of the geological parameter sequence; generating a run-length sequence according to a comparison result of each geological parameter and the concentrated quantity; the run-length sequence comprises a first run-length identifier corresponding to the geological parameters smaller than the concentrated quantity and a second run-length identifier corresponding to the geological parameters not smaller than the concentrated quantity; according to the occurrence frequency of a preset occurrence rule, determining a test statistic by adopting a specified test algorithm; and if the test statistic is within a preset assumed threshold range, determining that the lithofacies of the sedimentary strata are periodically changed, otherwise, determining that the lithofacies of the sedimentary strata are non-periodically changed, thereby meeting project requirements.

The invention belongs to the technical field of geological modeling, and provides a lithofacies model establishment method and device, a storage medium and electronic equipment, and the method comprises the steps: determining a plurality of target geological facies and a plurality of rock physical facies; the geological facies and the rock physical facies are coupled, and multiple rock types of the reservoir are determined; acquiring sampling data of multiple rock types of a reservoir in the target well; inputting the sampling data into the structural model, and outputting a static lithofacies model established in the structural model; and correcting and correcting the static lithofacies model to obtain a dynamic lithofacies model. Through the method, the static lithofacies model can be established based on the construction model, and the static lithofacies model is corrected to obtain the dynamic lithofacies model; the method for establishing the lithofacies model is wide in applicable reservoir range, and is particularly suitable for extremely thick and complex bioclastic limestone reservoirs.

The invention relates to the technical field of coal-bearing basin resource exploration, and provides an acidic water sedimentary basin coal measure strata fine-grained rock lithofacies classification method. The method comprises the following steps: firstly, carrying out kerogen separation and organic element, TOC (Total Organic Carbon) and total rock analysis test on different rock core samples; the mass ratio Cd of the organic carbon in the organic elements is calculated, and then the total organic matter mass fraction is obtained; carrying out normalization treatment on four-end-member components including total organic matters, long quartz minerals, clay minerals and carbonate minerals; and finally, first-level and second-level lithology classification is performed according to the total organic matter content and the contents of the three types of components in sequence, and fine-grained rock facies classification is determined in combination with sedimentary structure analysis. The method for determining the conversion coefficient of the organic carbon and the organic matter is high in pertinence and more accurate; the lithofacies classification scheme fully considers the effect of organic matter components in lithofacies division of coal-series fine-grained rocks, is more suitable for coal-series fine-grained rocks with wide organic carbon content distribution, and can better reflect the advantages, disadvantages and differences of coal-series fine-grained rocks with different organic matter contents.

The application provides a logging quantitative prediction method for the dissolution intensity of carbonate rocks, which selects a standard sample of dissolution affected by dissolution more obviously as a basis for establishing quantitative evaluation of the dissolution intensity, and further verifies the standard sample of dissolution. Then, a target dissolution intensity development index parameter reflecting the dissolution intensity is obtained, and the dissolution intensity of the pore-type bioclastic limestone reservoir is described. The evaluation method fully combines the basic geological data, and constructs a quantitative evaluation index of the dissolution intensity according to the target dissolution intensity development index parameter, so that the evaluation of the development scale difference of the pore-type bioclastic limestone reservoir in the target interval is more in line with the actual situation of the oilfield. The method can provide a specific and quantitative method for the description of the dissolution intensity of the pore-type bioclastic limestone reservoir, make up for the lack of diagenetic transformation between the carbonate rock facies and the reservoir, accurately describe the dissolution intensity of the carbonate rock, and lay a foundation for the deterministic description of the reservoir unit.

The invention discloses a method, a device and equipment for determining seismic response characteristics of a karst facies belt and a medium. According to the specific scheme, at least one logging curve corresponding to each karst facies belt in a target area is obtained; for each type of karst facies belt, phase belt characteristic parameters and phase belt characteristic information corresponding to each logging curve are determined based on at least one logging curve corresponding to the karst facies belt of the current type; based on the facies belt characteristic parameters, the facies belt characteristic information, the actual seismic data, the logging parameters and the karst fracture-cavity body parameters, constructing a reservoir geologic model corresponding to a karst reservoir in the target area; performing forward modeling calculation on the reservoir geologic model based on an elastic wave fluctuation equation to obtain a model seismic section corresponding to the reservoir geologic model; and carrying out analysis processing on the model seismic section, and determining a target seismic response feature corresponding to each type of karst facies belt in the target area. According to the method, quantitative recognition of the seismic response characteristics of the karst facies zone is realized, and the recognition accuracy is improved.

The invention discloses a continental facies mud shale gas geological evolution simulation analysis method, and relates to the technical field of oil-gas exploration, the method comprises the following steps: drilling a test shale core sample and sandstone sample combination to obtain a simulation geological sample; according to the stratum burying mode, the ground temperature gradient and the pressure, performing a hot-pressing simulation experiment on the simulation geological sample to obtain a simulation experiment product; calculating HI and TOC parameter values of the simulation experiment product, and obtaining a geological maturity Ro value corresponding to each experiment temperature point; according to the Ro value, obtaining an oil discharge efficiency curve of the simulated geological sample at different geological maturity; and performing reservoir space evolution simulation and shale pore quantitative analysis on the simulation experiment product to obtain a shale reservoir sample analysis result. Through combination of a hot-pressing simulation experiment and liquid hydrocarbon / gaseous hydrocarbon separation analysis, the oil discharge efficiency and the pore evolution characteristics are synchronously quantified, and the problems that the hydrocarbon discharge efficiency error is large and the pore structure is difficult to accurately evaluate in a traditional method are solved.

The invention relates to a marine environment marsh deposition identification method and device and electronic equipment, and the method comprises the steps: analyzing the paleostructure, the deposition background and the lithology of a target layer of a research area, and if the deposition environment is determined to be a marine deposition environment, analyzing the logging information of the target layer, and judging whether a logging section with preset logging characteristics exists or not; carrying out rock core slice observation on the logging section with the preset logging characteristics, and if a rock core section with the preset lithologic characteristics exists, obtaining a geochemical thermal weight loss result and an X diffraction analysis result of the rock core section; integrating a geochemical thermal weight loss result and an X diffraction analysis result to determine the lithology of the rock core section; if the lithology of the rock core section belongs to the first preset lithology type and the lithology of the upper layer and the lower layer of the rock core section is the second preset lithology type, the rock core section is the marsh deposition of the marine facies environment. According to the method, the marsh deposition in the marine environment is identified by utilizing a deposition, geochemistry and logging comprehensive research technology, and support is provided for oil field exploration and development.