130 results about "Depositional facies" patented technology

The invention discloses a method for predicting a favorable area of a thin-layer stacked sand body, and relates to the technical field of exploration and development of oil and gas reservoirs, and the method comprises the steps: generating a synthetic seismic record through well-seismic combination by using interval transit time and a density curve, aligning the synthetic seismic record with an actual seismic record, and building a three-dimensional frame model of a target layer of a research area; performing abnormal value elimination and standardization processing on the logging curve, making a statistical histogram, comparing peak separation degrees of sandstone and mudstone, and selecting the most sensitive curve to distinguish the sandstone and mudstone; and realizing well-side seismic trace waveform dynamic clustering analysis through singular value decomposition, and determining the number of effective samples. Based on the result of waveform indication simulation, the method is combined with the optimized seismic attribute to predict the thin-layer stacked sand body together, a systematic method is provided, the multiplicity of solutions of predicting the thin-layer stacked favorable sand body through the seismic attribute and the uncertainty of depicting the sand body by the sedimentary facies in the area with few wells can be reduced, and the prediction accuracy of the thin-layer stacked favorable sand body is improved. Therefore, the precision and reliability of thin-layer stacked sand body prediction are improved.

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 provides a sandstone-type uranium deposit sedimentary facies identification method, system and device and a medium, and belongs to the technical field of sedimentary facies identification, and the method comprises the steps: obtaining sandstone-type uranium deposit sedimentary facies multi-source data; time-frequency domain feature data, texture feature and waveform feature data and element ratio feature and statistical feature data related to sedimentary facies in the sedimentary facies multi-source data are extracted; time sequence features, three-dimensional structure features and metallogenic environment features are extracted from the feature data and weighted fusion is carried out to obtain the sedimentary facies category recognition probability. Multi-dimensional information complementation is realized by combining logging, earthquake and geochemical data, covering vertical lithology change, three-dimensional sand body distribution and a sedimentary facies state in a redox environment scene, and the focusing capability and the recognition precision of the model are effectively improved.

The invention provides a three-dimensional sedimentary facies modeling method and device based on planar graph constraint, and the method comprises the steps: loading a sedimentary facies graph and a thickness graph to a three-dimensional space, projecting a planar graph to an oil reservoir grid through space coordinate transformation, and coarsening the planar graph into an oil reservoir grid surface attribute; establishing a rapid sedimentary facies model by utilizing the plane sedimentary facies diagram, and establishing lithologic probability volume data by utilizing the plane thickness diagram and through coKriging interpolation; and the logging sedimentary facies data serve as hard data, the rapid sedimentary facies model serves as spatial constraint, the probability body serves as trend constraint, and a sequential indication simulation algorithm is utilized to generate the sedimentary facies model. According to the three-dimensional sedimentary facies modeling scheme based on the planar graph constraint provided by the invention, information such as the logging facies, the planar facies and the thickness graph is comprehensively utilized, the understanding of geologists can be introduced between wells, the problems of mathematics and datamation of a conventional method are solved, and the precision of a sedimentary facies model is improved.

The invention discloses a method for predicting a favorable sand body in a less-well area based on sedimentary numerical simulation and comprehensive well shock, and relates to the technical field of oil-gas exploration and development. Based on logging, shock and core data, a sedimentary facies is depicted, a sedimentary system is defined, and a basic structure-sedimentary environment is constructed; the method comprises the following steps: defining a containing space parameter, a material source supply parameter and a carrying parameter by utilizing a sedimentary ancient landform, lake plane elevation, tectonic settlement and a material source system, and establishing an initial sedimentary forward modeling model; and comparing the simulation result of the initial deposition forward modeling model with the underground actual geological information of the area with less wells point by point and layer by layer, and evaluating the correlation degree of the simulation result and the actual geological condition. According to the method, the theoretical basis of favorable sand body prediction is provided, the uncertainty of single attribute prediction is eliminated, the precision of favorable sand body prediction in the well-deficient area is improved, and a technical method and the theoretical basis can be provided for favorable sand body prediction in numerous sedimentary basin well-deficient areas.

The invention discloses a sedimentary facies model construction method and device, equipment and a storage medium. The method comprises the following steps: acquiring regional geological parameters of a target construction region; and determining structure interpretation data according to the regional geological parameters, and constructing a three-dimensional structure model according to the structure interpretation data. And analyzing distribution information of each lithofacies in the three-dimensional structure model according to regional logging data, and constructing a lithofacies framework model. A target sedimentary facies model corresponding to the target construction area is constructed according to the three-dimensional sedimentary point cloud and the lithofacies framework model based on a multi-point geostatistics algorithm, and the three-dimensional sedimentary point cloud is obtained by performing actual sedimentary simulation on the target sedimentary construction model obtained through pre-training based on the area geological parameters of the target construction area. According to the technical scheme, the three-dimensional sedimentary point cloud of the research area can be accurately extracted, high geological objectivity and physical authenticity are achieved, and therefore the objectivity and geological reliability of the sedimentary facies model are remarkably improved.

The invention provides a local artificial intelligence earthquake sand liquefaction deformation prediction method and system, and relates to the technical field of geological disaster prediction, and the method comprises the steps: obtaining multi-source geological data; 3-5Hz soil mass frequency domain features are extracted through wavelet packet decomposition, a DEM and a historical liquefaction thermodynamic diagram are fused to divide a sedimentary facies control unit, a three-dimensional voxel model is generated by adopting a Bayesian constrained improved Kriging algorithm, and a four-dimensional space-time tensor is constructed in combination with real-time seismic oscillation dominant frequency offset; inputting the tensor into a local adaptive graph convolutional network, dynamically adjusting the weight of a convolution kernel through a space-time attention mechanism, and synchronously outputting a prediction result; triggering incremental learning based on MEMS acceleration and FBG strain data, correcting a predicted value of an unliquefied region, and feeding back the predicted value to the voxel model; and finally, generating a probabilistic disaster chain scene tree through spatial pattern matching. The technical bottleneck that a traditional model is poor in adaptability in a complex sedimentary environment and cannot be updated in real time is solved, and intelligent early warning support is provided for engineering safety of an earthquake active area.

This invention provides a method for characterizing sedimentary microfacies distribution based on comprehensive geological and seismic analysis. By studying the sedimentary environment and surrounding tectonic background of the entire block, this invention calculates the cumulative percentage of channel and shoal body types based on sedimentary microfacies and grain size analysis. Based on a comprehensive analysis of the lithofacies of drill cores and corresponding well logging curves and seismic response characteristics, it establishes a comprehensive response model of the main sedimentary facies-well logging facies of the target stratigraphic group in the study area. Furthermore, based on the fusion of seismic attributes, it characterizes sand bodies in seismic profiles. By integrating the sand body characterization results, the comprehensive response model of sedimentary facies-well logging facies, and the sedimentary microfacies types, a method for characterizing sedimentary microfacies distribution in tight sandstone reservoirs using comprehensive seismic and geological analysis is established.

The invention provides an identification and prediction method for petroliferous basin mixed rock. The identification and prediction method comprises the following steps: S1, identifying single well lithofacies; s2, the sedimentary facies type and the sedimentary microfacies type of the sand-mud mixed accumulation area are recognized and divided; s3, establishing a lithofacies combination classification scheme, and forming a matching relationship between the lithofacies combination and the sedimentary microfacies; s4, establishing a well logging database of the mixed rock stratum section of the sand-mud mixed zone; s5, establishing rock physical phase classification by using an SOM neural network clustering analysis method; s6, establishing a lithofacies combination type and sedimentary microfacies identification model; and S7, establishing a spatial distribution model of the sedimentary microfacies and lithofacies combination of the mixed rock. And the mixed rock reservoir is classified and predicted, and the prediction result has higher geological causes and rationality.

The application discloses a kind of based on sequence stratigraphy and seismic sedimentology's braided river channel reservoir fine characterization method, comprising the following steps: obtaining target area core, well logging and high-resolution three-dimensional seismic data;By analyzing the sedimentology mark and logging facies mark in the target area, to determine the sedimentary facies type and sedimentary microfacies division;Using lithology and well logging curve, using the theory of sedimentology, high-resolution sequence stratigraphy identifies sequence interface type and feature, and carries out high-resolution sequence stratigraphic sequence division;Division reservoir architecture interface;According to the internal structure of sedimentary system, sedimentary facies distribution, focus on high-frequency sequence and sedimentary body scale, generate the braided river channel reservoir fine characterization result of target area architecture unit.The present application effectively solves the deficiencies of prior art in reservoir fine description, boundary identification and parameter inversion, improves the efficiency and success rate of oil and gas reservoir development.

The invention discloses a hydrocarbon source rock TOC content plane distribution prediction method based on a mud-to-ground ratio, and relates to the technical field of oil-gas exploration and development, and the method comprises the following steps: dividing a single well sequence and a sedimentary facies, and carrying out the statistics of the mud-to-ground ratio of a stratum between interfaces; according to the TOC test result and the logging curve of the hydrocarbon source rock sample, a single well TOC content prediction model is established, and the TOC average content of hydrocarbon source rocks between interfaces is counted; obtaining a mud-to-ground ratio plane contour map; establishing an organic matter sedimentary geologic model, and analyzing the correlation between the TOC average content and the mud-land ratio; establishing a quantitative characterization mathematical model between the mud-land ratio and the TOC average content, and matching the quantitative characterization mathematical model with an analysis result of the organic matter deposition geologic model; drawing a TOC plane contour map according to the mud-to-earth ratio plane contour map and the quantitative characterization mathematical model; according to the method, the distribution of the high-abundance hydrocarbon source rocks can be described more accurately, the reliability is high, and the result accuracy is high.

The invention discloses a paleo-gradient constraint reservoir characterization attribute for deep fan delta sedimentary facies characterization. The paleo-gradient constraint reservoir characterization attribute comprises the following steps: 1) carrying out multiple seismic attributes of a target stratum and carrying out normalization processing; 2) seismic attribute optimization is carried out by using the correlation with the sandstone thickness; 3) fitting a multiple linear regression relationship between the sandstone thickness and the optimized seismic attributes; 4) drawing a whole-area sandstone thickness prediction contour map; 5) solving an ancient slope on the ancient landform map; 6) drawing a whole-region ancient slope contour map; 7) acquiring a relation inflection point between the sandstone thickness and the paleo-slope in the research area; 8) predicting sandstone thickness and paleo-gradient by using seismic attributes to establish paleo-gradient constrained reservoir characterization attributes; and 9) calculating all-region paleo-gradient constraint reservoir representation attributes, and drawing a contour map as a basis for depicting the deep fan delta sedimentary facies. The method solves the problem that seismic attribute representation sedimentary facies lacks environmental information and the problem of multiplicity of solutions of deep fan delta seismic reflection representation sedimentary facies.

The invention discloses a carbonate rock and gypsum salt rock combination zone analysis method and device, and the method comprises the steps: dividing a plurality of analysis units according to the similarity of a geological structure unit, a sedimentary facies belt and an oil-gas accumulation combination type in a research zone; the oil-gas reservoir-forming combination in each analysis unit has similar geological structures, sedimentary environments and reservoir-forming characteristics; predicting a space-time factor of hydrocarbon generation capacity in the research zone and a space-time factor of a sub-heterotypic structure zone; comprehensively analyzing and researching space-time factors of the in-zone Tibetan formation area by combining a structure evolution history, a deposition history, a thermal evolution history and a fluid evolution history; and selecting an exploration area according to space-time factors in the research area. According to the method, a region with favorable reservoir forming conditions can be selected as an exploration region, and a new thought and direction are provided for oil-gas exploration.

This invention discloses a method, apparatus, computer equipment, and medium for predicting Paleogene reservoir permeability. The method includes: acquiring seismic and well logging data of a target Paleogene region; determining sedimentary facies data, porosity, amplitude spectral gradient, and velocity dispersion data of the target Paleogene region as input variables based on the seismic data; wherein a quantitative correspondence exists between the sedimentary facies data and permeability; determining the sample permeability of drilled wells in the target Paleogene region as an output variable based on the well logging data; and substituting the input and output variables as the original sample set into a preset random forest model to predict the reservoir permeability of the target Paleogene region. By introducing sedimentary facies into the sample data, a phase control effect can be achieved in the random forest regression sample training and decision-making process, thereby making the prediction results more reliable, more consistent with actual geological sedimentary patterns, and increasing the accuracy of permeability prediction.

The invention discloses a method and device for drawing a carbonatite sedimentary facies diagram based on ternary coupling. The method comprises the following steps: determining a water depth environment based on a regional structure effect, a basin position, a substrate characteristic and a climate condition, and establishing a research region concept deposition mode; selecting a typical well, dividing a three-level sequence in the typical well according to earthquake, logging and core data, and further dividing a mapping unit; for each sequence, establishing a relationship between the ternary coupling of the water depth background, the sea level cycle and the paleo-geographic position and the sedimentary hydrodynamic condition and the stratum thickness, analyzing the thickness change of the single well stratum in the sequence, and reversely deducing the sedimentary hydrodynamic condition based on the relationship in combination with the water depth background, the sea level cycle and the paleo-geographic position; and determining a single-well facies under the guidance of the concept sedimentary mode, fitting, matching and correcting the single-well facies and hydrodynamic conditions, and drawing a sedimentary facies diagram of the drawing unit in combination with the regional structure trend. The method can draw a reasonable and accurate regional sedimentary facies diagram for a complex oil field group.

This invention discloses a method for establishing time-spectral sedimentary facies samples based on seismic forward modeling. The method includes: Step S1: Constructing typical sedimentary models and various sedimentary facies property templates for the actual work area based on core sedimentary characteristics; Step S2: Obtaining sedimentary facies geological profiles based on typical sedimentary models and sedimentary facies property templates; Step S3: Extracting actual seismic forward modeling parameters from actual seismic data; Step S4: Conducting forward modeling of the sedimentary facies geological model based on the actual seismic parameters; Step S5: Converting the forward modeled seismic data into time-spectral data through continuous wavelet transform; Step S6: Extracting typical seismic traces from the forward modeled seismic profiles, using the sedimentary facies in the geological model as labels and the time-spectral data as feature values ​​to establish sedimentary facies seismic samples. A large number of high-precision samples are generated under the guidance of typical models, and the sample labels are completely accurate, eliminating errors caused by time-depth calibration, thus meeting the needs of machine learning for sedimentary facies prediction.

The invention provides an oil and gas block well seismic label capacity expansion method, system, device and medium, and belongs to the field of geology, geophysics and machine learning, and the method comprises the steps: dynamically delimiting a core work area based on a real well, and laying candidate points in a gridding manner; pCA dimension reduction and parallel prediction of a plurality of models are adopted to obtain a preliminary screening virtual well point pool; candidate points contradictory to real data are eliminated by setting a real well protection radius and a threshold value, and box separation and capacity limiting are performed according to a sand thickness interval, so that sample space and attribute distribution balance is ensured; and finally, through multi-round iterative extrapolation, sedimentary phased directional attenuation constraint is introduced, double verification is performed on newly added samples, and the coverage range of reliable samples is gradually expanded. According to the method, hundreds of times of expansion of the well seismic label is realized, the generated virtual sample has both geological rationality and statistical diversity, deep learning model training can be effectively supported, the accuracy and generalization ability of reservoir parameter prediction in a less-well area are remarkably improved, and a reliable data basis is provided for oil-gas exploration decision.

The application discloses a kind of seismic facies drive deep carbonate high-precision sedimentary microfacies recovery methods, comprising: basic data collection;Well-seismic calibration;Establish regional isochronous sequence stratigraphic framework;Logging interpretation;Sequence framework within sedimentary facies division: seismic facies division;Establish seismic facies-sedimentary facies conversion relationship;Isochronous sequence stratigraphic framework within division strata slice;Optimization seismic attribute;Establish single factor sedimentary index-seismic attribute relationship;Attribute volume isochronous strata slice;Seismic facies-sedimentary facies under the constraint of high-precision isochronous sedimentary microfacies drawing.The application can accurately predict sequence within sedimentary facies belt boundary by establishing sedimentation-seismic correlation under the condition of less drilling, outcrop;Further optimization can reflect the seismic attribute of sedimentary characteristics, calculate isochronous strata slice;Isochronous sedimentary facies map is obtained by attribute-sedimentary correlation conversion.In practical application, good effect is obtained, and the coincidence rate with actual drilling is high.

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

The invention belongs to the technical field of oil and gas geological exploration, and particularly relates to a lacustrine facies carbonate rock division method which comprises the following specific steps: selecting a research area with remarkable lacustrine facies mixed deposition characteristics, determining a target interval, and combining a structure location map and a stratigraphic histogram to obtain a lacustrine facies carbonate rock division model; and determining that the sample collection range covers different sedimentary facies zones such as a southern slope zone, a nose-shaped tectonic zone and a northern slope zone. The classification scheme not only has a clear facies indicating significance and can effectively indicate a sedimentary environment, but also provides a reliable lithofacies basis for evaluation of a lacustrine facies carbonate reservoir; the method is especially suitable for oil-gas exploration target optimization under the multi-layer-series and multi-object-source background, and has important practical application value for guiding exploration deployment of similar regions.

The invention relates to the technical field of image synthesis, in particular to a method and device for constructing a superimposed sedimentary facies belt graph at a sedimentary unit level, and the method comprises the steps: obtaining multi-source information data of a target oil field; constructing a three-dimensional space distribution model based on the multi-source information data; obtaining isoline data and fault polygon data based on the three-dimensional space distribution model; obtaining the smoothed isoline data; obtaining corrected fault polygon data; splitting the combined fault polygon into a plurality of fault independent units; generating fault polygon data with upper and lower wall marks; obtaining a deposition unit level structure map of the target layer; obtaining a sedimentary facies belt graph of the target layer; and taking the sedimentary unit level structure map and the sedimentary facies belt map of the target layer as different map layers for superposition to obtain a plane structure map of the target layer. According to the method, the requirement of development field personnel for quickly drawing a two-dimensional plane graph with fault hanging and footwall and sedimentary facies distribution can be met.

The present application provides a kind of carbonate rock thin reservoir interwell connectivity evaluation method, comprising the following steps: (1) collecting the regional geological background of the purpose layer of the study area in multiple wells, drilling and logging data, seismic data, production dynamic data, and establishing database;(2) determine the sedimentary facies type, determine the reservoir characteristics;(3) the logging data of different wells is normalized, and the logging sequence is combined to form the logging facies, and the logging facies characteristics of the corresponding reservoir section between adjacent wells are compared;(4) obtain the pressure coefficient of adjacent wells at the same altitude depth, and compare the pressure coefficient of the corresponding reservoir section between adjacent wells;(5) according to the seismic phase profile and seismic phase plane of the well, the phase change of the corresponding reservoir section between adjacent wells is compared;(6) according to the comparison result, judge whether the thin reservoir is connected or not.The beneficial effects of the present application: can carry out static productivity prediction in newly drilled carbonate reservoir, and then provide reference for well completion test.

The present application relates to the field of oil and gas exploration, and provides a few well area multi-depositional facies belt sand shale reservoir prediction method and system, the method comprises the following steps: preprocessing seismic exploration data of the study area, extracting seismic attribute volume combined with depositional facies belt lithology difference, screening the seismic attribute volume through lithology sensitivity analysis to obtain core attribute volume; taking the core attribute volume as a constraint condition, performing primary inversion on the pretreated seismic exploration data through inversion algorithm to obtain primary inversion data volume; constructing pseudo well according to the primary inversion data volume and depositional facies belt characteristics, modeling the pseudo well and well logging data of real drilled well jointly to obtain low frequency model; taking the low frequency model as a constraint condition to perform iterative inversion, predicting sand shale reservoir from the iterative inversion result to obtain full area sand shale reservoir prediction result. The present application improves the adaptability of multi-depositional facies belt.

The invention discloses an oil and gas resource quantity evaluation method and device based on a phase control model, equipment and a medium, and relates to the technical field of geological resource exploration. The method comprises the following steps: establishing a facies belt vertical evolution model according to a sedimentary facies belt in a target reservoir; a three-dimensional geological entity of the target reservoir is constructed, and a total relation model describing the relation between the reservoir depth and the accumulated rock volume is obtained based on the three-dimensional geological entity; coupling the facies belt vertical evolution model and the total relation model to obtain a sub-relation model for describing the relation between the reservoir depth of each sedimentary facies belt and the accumulated rock volume; based on the physical property characteristics of the sedimentary facies belts, reservoir parameter probability distribution models of the sedimentary facies belts are established; calculating oil and gas resource quantity by adopting a Monte Carlo simulation iteration method; and obtaining an oil and gas resource quantity probability distribution diagram according to the oil and gas resource quantity calculated by N times of iteration. The problems that the exploration early-stage resource quantity evaluation result is disjointed with the geological reality, the efficiency is low and the credibility is insufficient are solved.

The invention relates to the technical field of oil-gas exploration, in particular to a lithologic trap evaluation method, device and equipment, a medium and a computer program.The method comprises the steps that under the condition that a sedimentary facies type is a single-well sedimentary facies, a seismic facies plane distribution diagram corresponding to a target area is obtained; based on the first corresponding relation and the seismic facies plane distribution diagram, obtaining a reservoir porosity plane distribution diagram; based on the second corresponding relation and the seismic facies plane distribution diagram, a packing layer porosity plane distribution diagram is obtained; and determining an evaluation result of the lithologic trap based on the seismic facies plane distribution, the reservoir porosity plane distribution diagram and the packing layer porosity plane distribution diagram. According to the method, when the distribution of the reservoir and the packing layer is predicted, the wave impedance corresponding to the porosity is considered, quantitative prediction is achieved, the evaluation result of the lithologic trap is obtained based on the distribution conditions of the seismic facies, the reservoir and the packing layer, the accuracy of the evaluation result of the lithologic trap is improved, and then the exploration success rate of the lithologic trap is improved.

Disclosed is a method for deposition formation of deposits within an immersion region, comprising:-receiving a sedimentary facies classification and a sedimentary environment classification; -simulating the evolution of the topography of the submerged deposition area over time, comprising: defining a model of the submerged deposition area, the model having an earth surface, a plurality of deposit supply or generation processes and at least one water flow to be simulated; simulating a formation in which at least one deposit is deposited on the earth surface over a time period, including: introducing particulate deposits into a model; conveying at least one particle by applying a water flow, wherein the conveying comprises displacing or depositing the particle onto the earth surface; and recording data about the deposited particles; and updating the terrain of the earth surface. For at least one unit of the sedimentary formation, associating the unit with the sedimentary facies and the sedimentary environment based on a comparison of the recorded data with the sedimentary facies classification and the sedimentary environment classification.

The application discloses a sedimentary reservoir prediction method based on three-dimensional seismic data, which comprises the following steps: step one, feature extraction; step two, feature dynamic fusion; step three, model establishment and training; step four, optimization of storage prediction results; and step five, visualization interaction. The system comprises a data processing module, a feature fusion module, a model training module, a reservoir prediction module and a visualization interaction module. The dynamic weight distribution algorithm is used to fuse multi-dimensional features such as seismic waveforms, frequency spectra and geometric attributes, so that the vertical resolution of thin interbedded layers is significantly improved, the identification difficulty of hidden reservoirs is solved, and the loss risk is reduced. A double-channel neural network model is established to automatically extract seismic features and sedimentary facies knowledge, so that the deviation of artificial feature engineering is avoided, the rapid modeling demand of a complex sedimentary environment is met, and the prediction results are constrained and corrected, so that the continuity of a vertical sedimentary sequence is ensured.

The invention relates to the technical field of deep oil and gas exploration, in particular to a deep reservoir dominant region prediction method and device, and the corresponding method comprises the steps: determining a reservoir sedimentary facies diagram of a deep reservoir through the sedimentary structures and sedimentary facies of a plurality of single-well reservoirs under the constraint of a pre-generated sedimentary-structure pattern diagram of the deep reservoir; wherein the sedimentary facies is a superposed part of an early-stage high-quality facies belt and a diagenetic facies belt in a quasi-synbiotic period of the deep reservoir; determining a reservoir diagenetic phase diagram of the deep reservoir according to a pre-generated diagenetic sequence diagram of the deep reservoir, the corrosion landform partition map and the fluid system plane distribution diagram; and according to the reservoir sedimentary facies map, the reservoir diagenetic facies map, the dominant sedimentary facies and the dominant diagenetic facies, predicting the dominant region of the deep reservoir. According to the method, the viewpoint of controlling the scale high-quality reservoir by the early-stage high-quality facies belt and the quasi-synbiotic lithogenous facies belt is provided, the double-phase superimposed belt control and reservoir model is established, deep reservoir prediction is carried out, and a good effect is achieved.

The present disclosure relates to a sandstone thickness mapping method, system, electronic device and storage medium. The mapping method comprises: obtaining logging data of each well point in a preset area, and determining sandstone and mudstone lithological characteristic data according to the logging data; determining sandstone curve shape and sandstone thickness of each well point according to the sandstone and mudstone lithological characteristic data, and mapping a sedimentary facies pattern of the preset area through the sandstone curve shape and the sandstone thickness; converting the sedimentary facies pattern to a constraint plane for determining the trend change of a sedimentary facies belt in a three-dimensional geological framework model plane range; generating plane sandstone thickness data through the constraint plane based on a geostatistical stochastic simulation algorithm, and mapping a sandstone thickness map of the preset area according to the plane sandstone thickness data. The sandstone thickness is generated by combining the geological statistical principle and the sedimentary facies pattern, and the sandstone thickness map is mapped according to the sandstone thickness, so that high-precision prediction and visual expression of the sandstone thickness are realized.

The invention relates to a sweet spot reservoir prediction method based on source-sink-rock system coupling, and the method comprises the steps: constructing a sequence framework which comprises the steps: recognizing a single well sequence interface, carrying out the seismic sequence division of the sequence interface, and verifying the sequence interface through ancient biology; in the sequence framework, material source supply capacity calculation is carried out, a material source judgment system, an ancient landform recovery result and seismic attribute analysis are synthesized, sedimentary system distribution characteristics are identified, sedimentary facies belt prediction is carried out, and a sedimentary facies control sand body model is established; establishing a three-dimensional sand body distribution model based on the sequence framework, the distribution characteristics of the sedimentary system and the sedimentary facies control sand body model; a favorable zone is obtained through prediction according to seismic attributes of all system domains in the multiple sets of sand-rich deposition system distribution feature superposition coupling sequence grillages; and based on the three-dimensional sand body distribution model, and in combination with a reservoir diagenesis-physical property corresponding relationship summarized by single well actual measurement data, preferably selecting a sweet spot target in the favorable zone. According to the invention, the reliability of sweet spot reservoir prediction can be improved.