34 results about "Stratigraphy" patented technology

The application discloses a kind of active fault borehole stratum comparison methods combined with high-resolution logging data, it is related to stratum comparison technical field, comprising: first respectively obtaining test fault region and test bottom layer region;Real-time data acquisition is carried out based on electrical imaging logging, and differential analysis model is established;The differential analysis model is optimized, and the ground fault comparison model is obtained;Active fault borehole stratum comparison method is obtained based on the data in ground fault comparison model;The application is used to solve the problem of low precision and efficiency in the existing active fault borehole stratum comparison method.

The invention relates to the technical field of geological survey, in particular to a rapid stratum disease risk detection method based on a ground penetrating radar, and solves the technical problem of depth positioning misalignment caused by propagation parameter fluctuation due to heterogeneity of an underground medium in stratum disease detection of the ground penetrating radar in the prior art. The method comprises the following steps: acquiring a reflected wave signal at each acquisition moment through a ground penetrating radar; performing signal decomposition processing on the reflected wave signal, separating an intrinsic mode component representing dielectric noise, and performing feature extraction on the intrinsic mode component to determine a dielectric noise intensity index; constructing a dielectric noise intensity sequence according to the dielectric noise intensity index, and performing spatial-temporal characteristic analysis to determine the confidence coefficient of stratum diseases; and according to the dielectric noise intensity index and the stratum disease confidence coefficient, in combination with a pre-calibrated stratum average dielectric constant, constructing a depth correction weight, carrying out adaptive correction on the original stratum disease depth, and outputting the corrected stratum disease depth.

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 method and device for recovering the ancient landform of a carbonate rock stratum by coupling multiple information, and the method comprises the steps: carrying out the sequence interface recognition through the geological information of a research region and the logging information of all drilling wells in the research region, and building a carbonate rock stratum framework of a preset horizon in the research region; carrying out cycle stratigraphic analysis by using the well logging information of the well drilling in the research area to obtain a preset horizon deposition rate of the well drilling in the research area; according to the preset horizon deposition rate of the well drilling position in the research area, the denudation stratum thickness of the preset horizon of the well drilling position in the research area is calculated; and through an interpolation algorithm or a machine learning algorithm, according to the carbonate rock stratigraphic framework of the preset horizon in the research area and the denudation stratum thickness of the preset horizon at the well drilling position in the research area, recovering the ancient landform of the preset horizon in the research area. According to the method, the precision of recovering the denudation amount of the carbonate rock stratum can be improved, the ancient landform information of the carbonate rock in the region can be conveniently and quickly obtained, and a basic framework is provided for carbonate rock reservoir prediction.

This invention relates to a rapid method for three-dimensional structural restoration by eliminating structural anomalies, belonging to the field of geological structural restoration technology in oil and gas field exploration. The method first establishes a three-dimensional stratigraphic fault model based on the interpreted horizon and interpreted faults of the target segment. Then, according to the seismic network, the model is decomposed into L and XL directions, and structural restoration is performed in both directions respectively. Finally, the restoration results of the two directions are combined to obtain the structural restoration result of the target interface. This method not only preserves the complete information of the stratigraphy but also eliminates structural anomalies, improving the accuracy and reliability of structural restoration.

A method for curating a machine learning training library of calcareous nannofossil images for automated biostratigraphic analysis. The method includes receiving a plurality of images of various source materials from a target geologic time period. A subset of images is selected, comprising images from both a hydrocarbon-rich region and a hydrocarbon-poor region. A training library is generated based on this subset, enabling the development of machine learning models capable of accurate fossil identification and classification across diverse geological settings.

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.

A method comprising obtaining a thickness for each of one or more sediment packages of a subsurface formation. The method comprises generating a thickness profile of each of the one or more sediment packages based on the thickness. The method comprises obtaining one or more properties of each of the one or more sediment packages based on the thickness profile. The method comprises generating, via a learning machine, one or more sediment package classifications based on the one or more properties. The method comprises and performing a subsurface operation based on the one or more sediment package classifications.

The invention discloses a method for determining a geologic horizon of a PSV wave seismic event, and relates to the technical field of petroleum and natural gas exploration and development, and the method comprises the following steps: S1, carrying out the rotation orientation processing of a horizontal component and a vertical component; s2, extracting an upgoing wave field of the PSV wave; s3, non-zero offset PSV wave imaging and non-zero offset PSV wave corridor superposition are carried out; s4, determining the geologic horizon of the PSV wave corridor stacked section; and S5, determining the geologic horizon of the three-dimensional seismic PSV wave event. According to the method, a high-precision extraction method of the non-zero offset PSV upgoing wave field is innovated, and effective separation of the complex wave field is ensured; meanwhile, a new corridor stacked section manufacturing method and a new geologic horizon determining method are created, the situation that logging curve missing and environmental quality affect the reliability of geologic horizon determination is avoided, the problem that calibration difficulty is large due to the fact that zero-offset PSV wave signals are weak is solved, more reasonable PSV wave geologic horizon determination can be obtained, and the accuracy of geologic horizon determination is improved. And a basic guarantee is provided for multi-wave multi-component oil gas earthquake prediction application.

The invention provides an extraterrestrial planet life trace identification method and system based on deep learning, relates to the field of planet remote sensing, ancient biology, stratigraphy and celestial body biology research, and aims to solve the problems that in the prior art, no comprehensive and effective ancient biological picture database exists, parameter data and model training data are lacked, and the life trace identification accuracy is poor. And the model identification capability is difficult to meet the identification requirements of life marks in extraterrestrial planet return samples. According to the method, a paleontology fossil picture database is constructed, paleontology fossil pictures are preprocessed, and a constructed paleontology vital sign recognition model is trained based on the preprocessed pictures; and carrying out vital sign identification on the to-be-identified paleontological fragment picture by using the trained paleontological vital sign identification model. The method solves the problem of lack of extraterrestrial planet life mark reference data, improves the recognition efficiency and recognition accuracy of an ancient organism vital sign recognition model, and enables the model to meet the requirements of future extraterrestrial planet life mark recognition.

This application relates to the field of geological engineering technology. To address the problems of time-consuming parameter learning and errors caused by reliance on subjective experience in undirected probabilistic graphical geological model construction, a method for constructing undirected probabilistic graphical geological models based on spatial location encoding is disclosed. This method includes: determining the geological modeling range based on known borehole data; discretizing the geological modeling range into a grid structure; filling the corresponding grid with stratigraphic data from the known borehole data according to soil type; spatially encoding the unknown grids based on the spatial relationship between the grid structure and the known borehole data; assigning an initial state to the unknown grids based on the spatial relationship between the grid structure and the known borehole data to obtain the initial stratigraphy and constructing an undirected probabilistic graphical geological model; and constructing a data-driven parameter optimization method based on the spatial location encoding results to learn the parameters of the undirected probabilistic graphical geological model and obtain the optimal parameters. This method improves the accuracy of undirected probabilistic graphical geological model construction.

This invention discloses a method, system, and application for fine characterization of multi-scale sedimentary cycles facies space. This method combines variational mode decomposition (VMD) with synchronous compression optimal basis wavelet transform (MCB) to propose a workflow for multi-scale sedimentary cycle characterization. First, the relationship between geological structures at different scales and intrinsic mode functions (EMFs) is theoretically derived, and a method for determining the number of EMFs is proposed. Considering computational efficiency and the lateral continuity of the decomposition results, the variational mode decomposition algorithm is improved by determining the number of EMFs and their center frequencies based on the smoothed reflection coefficient amplitude spectrum. Based on this, multi-scale sedimentary cycle characterization is achieved by combining MCB with ridge extraction. The key parameters in the processing of this invention are all extracted from seismic data, making the operation simple, computationally fast, and suitable for processing massive amounts of seismic data. This provides an important tool for subsequent sequence stratigraphy research.

Provided is a virtual drilling modeling method and system based on outcrop fine characterization. The method includes: selecting multiple typical sedimentary stratigraphic point positions respectively, and using an outcrop fine observation technology to characterize distribution characteristics of lithology, occurrence, thickness, and an extension range of each outcrop layer at the typical sedimentary stratigraphic point positions; establishing each vertical sequence stratigraphic histogram according to the distribution characteristics, the vertical sequence stratigraphic histogram being used to reflect vertical changes of actual stratigraphy; constructing a modeling data set according to each of the vertical sequence stratigraphic histograms and preset sample drilling core columns; and based on machine learning and interpolation operation methods, constructing a three-dimensional geological model according to the modeling data set. Through the high-precision outcrop characterization technology, the present disclosure can establish an accurate three-dimensional geological model with lower cost and higher efficiency without actual drilling.

A method for reconstructing the lithofacies paleogeography of basin-based marine strata based on tectonic-sedimentary coupling addresses the difficulty of existing methods in achieving comprehensive, multi-factor quantitative reconstruction of the lithofacies paleogeography of basin-based marine strata. This method, guided by plate tectonics, geotectonic geology, sedimentary petrology, sequence stratigraphy, and geochemistry, fully utilizes basic geological data and employs balanced profiling techniques, macro-microscopic integration, spectral analysis and core retrieval, well-seismic integration, and single-factor analysis and multi-factor comprehensive mapping. This method identifies key unconformities, restores the basin's prototype basement, defines the basin's nature and source-sink system, establishes a stratigraphic division scheme, and constructs a tectonic and sedimentary evolution model for the basin. This method then reconstructs the lithofacies paleogeography of the basin's marine strata within each sequence. This method can determine the tectonic-sedimentary pattern and lithofacies paleogeographic characteristics, and comprehensively reconstructs the lithofacies paleogeography of the basin's marine strata based on multiple factors, providing support for oil and gas reserve enhancement and exploration deployment.

This invention relates to the field of oilfield development technology and discloses a well-seismic combined method for reorganizing reservoir stratigraphy in sandstone oilfields, comprising the following steps: S1, acquiring well logging data, seismic data, and geological data to establish a high-resolution sequence stratigraphic framework; S2, using well-seismic combined technology to draw sedimentary facies maps and identify the distribution characteristics and development differences of reservoir sand bodies; S3, analyzing the dynamic development effect of the reservoir, including water cut, recovery rate, and remaining oil distribution development indicators; S4, optimizing the stratigraphic combination method, sealing high water-cut layers, and reorganizing effective development stratigraphic layers; S5, adjusting the well network deployment, combining new drilling and old well conversion for injection, and optimizing well spacing and injection-production relationship. By using well-seismic combined technology to finely segment reservoirs, optimize stratigraphic layers and injection-production well network deployment, and combine dynamic monitoring to adjust injection-production configuration in real time, the problem of inter-layer interference is solved, water injection displacement efficiency is improved, and high efficiency and stability of oilfield development are achieved.

The invention relates to the fields of stratigraphy, statistics, geophysics and the like, in particular to a method for calculating the total gas content of a coal seam through a logging curve. A method for calculating the total gas content of a coal seam through a logging curve is characterized in that a gas content prediction model composed of six parameters including natural gamma GR, a photoelectric index PE, compensation sound waves AC, compensation neutrons CNL, lithologic density DEN and deep lateral resistivity RD is constructed and used for predicting the total gas content of the coal seam. The method realizes continuous and accurate calculation of the total gas content of the coal seam in the Ordos basin through coupling modeling of the response sensitive parameters of the total gas content of the coal seam, and is an economical and efficient method for obtaining the total gas content of the natural gas in the coal seam.

This invention discloses a method for evaluating the quality of deep oil shale based on segmented well logging inversion, belonging to the technical field of geophysical well logging interpretation and unconventional oil and gas resource evaluation. The steps are as follows: (1) data input; (2) data preprocessing; (3) joint segmentation of stratigraphy and depth; (4) segmented modeling; (5) inversion calculation; (6) dual-parameter threshold discrimination; (7) quality classification; (8) result output. By including multiple sedimentary segments in the evaluation object of deep oil shale, oil content and TOC inversion models are established for different target stratigraphic positions and different model selection depth ranges. The model can be used to supplement the oil content inversion of the 1000–2500m depth segment and improve the inversion accuracy of deep oil shale in the 1000–2500m depth segment. At the same time, it retains the advantages of continuous, economical and high-resolution well logging data, and can realize continuous evaluation of deep oil shale in the 1000–2500m depth segment, providing a more reliable technical means for accurate identification, quality classification and resource evaluation of deep oil shale.

This invention discloses a method for prototyping and reconstructing modified depressions, comprising the following steps: dissecting and analyzing the depression structure in the study area to identify its structural characteristics; identifying the substratigraphic framework of the main depositional periods in the study area; identifying and statistically analyzing the fault points and displacements within the depression structure, and reconstructing the vertical displacements of the faults; identifying the vertical uplift of the depression structure and reconstructing the amount of vertical uplift; identifying the horizontal extension of the depression structure and reconstructing the amount of horizontal extension; tracing and characterizing the residual stratigraphic boundaries within the study area, and extracting key occurrence information of the residual strata; and based on the extracted key occurrence information of the residual strata, reconstructing and reconstructing the original distribution morphology of the target strata within the depression structure. This invention can fully utilize the sedimentary and structural information of the basin's residual stratigraphy, and through detailed characterization and constraint of sedimentary boundaries, accurately and conveniently reconstruct and reconstruct modified depressions.

The application discloses a prestack seismic reflection analysis method based on an improved focal point loss, which is applied to the field of seismic stratigraphy, and aims at the fact that the existing depth clustering method often ignores the representation ability of potential features and always has the sample misclassification problem in the clustering layer. First, prestack seismic data is obtained according to actual work area data and time window data, so as to prepare a network training sample data set. Then, the data set is iteratively trained by using a DCIF network model, the target distribution of the clustering layer is regarded as the real label distribution, the improved focal point loss is introduced into the clustering module, and is used in an unsupervised manner. The method is combined with the two modules to optimize the two modules, and learns the representation for the depth clustering in an end-to-end manner, and directly generates a seismic facies map.

A method can include accessing data for a subsurface region that includes horizons that extend to a fault, where the data includes at least seismic data; selecting a portion of the data that is within a distance range of the fault; creating local horizon models for the horizons using at least the portion of the data; generating on-fault horizon data using the local horizon models and a fault model of the fault; computing two-dimensional stratigraphy for a side of the fault based on at least a portion of the on-fault horizon data; and performing a simulation of one or more physical phenomena for the subsurface region using at least the fault model of the fault and the two-dimensional stratigraphy for the side of the fault.

A method for curating a machine learning training library of calcareous nannofossil images for automated biostratigraphic analysis. The method includes receiving a plurality of images of various source materials from a target geologic time period. A subset of images is selected, comprising images from both a hydrocarbon-rich region and a hydrocarbon-poor region. A training library is generated based on this subset, enabling the development of machine learning models capable of accurate fossil identification and classification across diverse geological settings.

The invention discloses a fine-grained shale deposition structure identification method and device, electronic equipment and a medium. The method comprises the following steps: determining a research target layer, obtaining a continuous rock core column, and analyzing sedimentary structure characteristics of the rock core column in combination with logging curve characteristics; combining a correlation coefficient method to verify that shale deposition in a research area is influenced by an astronomical orbit period; the method comprises the following steps: establishing a scale for researching the absolute geological age of a stratum through petrostratigraphy, magnetic stratum and isotope analysis; carrying out high-resolution astronomical tuning on the slope and the age difference scale to obtain the duration of a deposition sequence, and recovering the deposition rate by establishing an age model; and establishing an evolution energy spectrum of the shale deposition structure and the age difference level deposition rate, and dividing a histogram of the deposition structure of the research target layer. According to the method, the development characteristics of the sedimentary structure of the fine-grained mixed sedimentary rock in the area can be conveniently, accurately and qualitatively researched by qualitatively identifying the sedimentary structure of the multi-element mixed sedimentary rock and quantitatively screening the distribution range of the sedimentary structure of the multi-element mixed sedimentary rock.

This invention relates to the field of geological surveying technology, specifically to a rapid detection method for stratigraphic disease risk based on ground-penetrating radar (GPR). This method solves the technical problem in existing GPR techniques where the inaccurate depth positioning is caused by propagation parameter fluctuations due to the non-uniformity of the underground medium during stratigraphic disease detection. The method includes: acquiring reflected wave signals at each acquisition time using GPR; performing signal decomposition processing on the reflected wave signals to separate the intrinsic mode components characterizing dielectric noise, and extracting features from the intrinsic mode components to determine the dielectric noise intensity index; constructing a dielectric noise intensity sequence based on the dielectric noise intensity index and performing spatiotemporal feature analysis to determine the stratigraphic disease confidence level; constructing a depth correction weight based on the dielectric noise intensity index and the stratigraphic disease confidence level, combined with a pre-calibrated average dielectric constant of the stratigraphy, adaptively correcting the original stratigraphic disease depth, and outputting the corrected stratigraphic disease depth.

The invention belongs to the field of physical simulation of tectonic deformation, and discloses a physical simulation experiment method and device for tectonic deformation. The method comprises the following steps: establishing a three-dimensional geological evolution model based on research area construction research data, a GPS observation image, magnetic stratigraphy and chronology, a shallow seismic reflection profile and a geological profile; determining the size of the experimental model; selecting the experimental material based on the mechanical property of the experimental material; building an experimental model; determining tectonic deformation parameters of the experimental model in different deformation stages; performing a tectonic deformation simulation experiment based on the tectonic deformation parameters to obtain an experiment result; and performing construction interpretation and PIV data analysis on an experimental result. According to the method, the deformation and evolution process of the multi-stage and multi-direction superposition structure is restored under the laboratory condition, and the understanding of the complex structure is improved.

The invention provides a method for predicting shale organic matter types, which comprises the following steps of: 1, determining geological conditions of a research area, and determining a target layer series and distribution characteristics; 2, determining a sedimentary center through a seismic inversion technology and lithofacies combination characteristics; 3, selecting a plurality of sampling points in the deposition boundary, determining the distance from each sampling point to the deposition boundary, and collecting organic element analysis test data and maturity data of each sampling point; 4, calculating a kerogen type index KTI value of each sampling point; 5, establishing a quantitative model of the deposition distance and the hydrocarbon source rock organic matter type index KTI by adopting a regression method; and 6, obtaining a KTI value distribution diagram in combination with the sedimentary facies diagram, and predicting the organic matter type distribution of the hydrocarbon source rock. According to the method for predicting the shale organic matter type, the precision of predicting the shale organic matter type is improved, and a solid basic theoretical basis is laid for oil and gas resource strategic selection, resource evaluation and shale oil and gas exploration and development.

This invention discloses a method for creating a micro-paleomorphic map of stratigraphy using a combination of well and seismic data, comprising the following steps: S11 Obtaining stratigraphic marker layers for correlation using drilling data within the area; S12 Comprehensive drilling calibration, conducting isochronous surface tracing and interpretation of seismic sequences, and establishing an isochronous stratigraphic framework using a combination of well and seismic data; S13 Reconstructing the pre-depositional paleomorphic features of the target layer using layer flattening technology; S14 Selecting a layer segment, calculating the stratigraphic thickness using the top and bottom data of the target layer, and obtaining the true seismic stratigraphic thickness after drilling correction; S15 Compacting and correcting the true seismic stratigraphic thickness to obtain the original sedimentary thickness of the stratigraphy; S16 Applying the original sedimentary thickness of the stratigraphy to generate a micro-paleomorphic map using Surfer mapping software. This invention is applicable to the field of petroleum exploration technology, is highly operable, and makes full use of well and seismic data for three-dimensional exploration areas with fewer wells. The micro-paleomorphic features reconstructed by this method can finely depict the paleotopographic features of the beach bar sandstone deposition period and analyze the planar distribution pattern of the beach bar sandstone.

The present application relates to the field of sedimentology, in particular to a method for analyzing deep-time El Nino-Southern Oscillation cycle based on annual lamination of marine and lacustrine sediments. Through sampling, grinding, thin sectioning, high-definition scanning, estimating sedimentation rate, element plane distribution, principal component analysis of each element content, laser in-situ carbon and oxygen isotope testing of each annual lamination, and time domain spectrum analysis, the climate change of interannual scale in geological history period is finally analyzed. The present application combines the analysis and interpretation of element data, annual lamination thickness and annual lamination carbon and oxygen isotopes, which shows that there is correlation between each index, provides a new method for identifying and analyzing deep-time El Nino-Southern Oscillation cycle, establishes a time scale with years as a unit based on marine or lacustrine annual lamination, and carries out high-precision analysis on climate fluctuation under this scale, which fills the gap in the related art.

The invention provides a method, a device, a medium and equipment for predicting high-quality hydrocarbon source rocks in a passive land margin basin depression period. The method comprises the following steps of: determining a region beneficial to the development of the hydrocarbon source rocks in the passive land margin basin depression period according to gravity or magnetic force abnormal data of a passive land margin basin and an adjacent region of the passive land margin basin; based on the interpretation of the seismic section, dividing a depression series formed in a passive land edge basin depression period, and determining the total settlement of the depression series; performing decompaction, paleo-water depth and load settlement correction on the depression series, and recovering the tectonic settlement from the total settlement of the depression series; according to the regional structure evolution background and age stratigraphic knowledge of the passive continental basin, defining the development time of the col series; calculating the settlement rate of the passive continental basin in the depression period according to the tectonic settlement amount and the development time; and predicting the quality and range of the hydrocarbon source rock according to the settlement rate and the region beneficial to the development of the hydrocarbon source rock. According to the method, the plane distribution of the high-quality hydrocarbon source rocks in the depression period can be quickly and effectively predicted.

This invention provides a method and system for delineating lead-zinc ore target areas based on the analysis of alteration mineral mapping results. It relates to the field of computer technology. First, it acquires regional alteration mineral mapping results and information on regional ore-controlling conditions. Then, using the lateral distribution span, vertical burial depth, and mineral assemblage in the regional alteration mineral mapping results, combined with regional geological evolution history data, it constructs an alteration mineral zonation sequence. Next, based on the spatial distribution morphology of mineralization structures, the physical and mechanical properties of stratigraphy, and the heat transfer path of magmatic activity in the regional ore-controlling conditions information, it quantifies the synergistic response intensity of various ore-controlling conditions to the formation of alteration minerals. Combining the above results, it locks the spatial location and extension range of lead-zinc ore mineralization windows. Finally, based on the ore-forming windows and element enrichment states, it delineates the spatial range of the target area and optimizes the boundaries, generating lead-zinc ore target area delineation results. This method can effectively guide lead-zinc ore exploration and development, improving resource discovery rate and development efficiency.

The invention discloses a sequence stratigraphy and seismic sedimentology-based fine characterization method for a braided channel reservoir. The method comprises the following steps of: obtaining core, logging and high-resolution three-dimensional seismic data of a target area; determining sedimentary facies types and sedimentary microfacies division by analyzing and researching sedimentary signs and logging facies signs in the target area; the method comprises the following steps: identifying the type and characteristics of a sequence interface by utilizing lithology and a logging curve and applying sedimentology and high-resolution sequence stratigraphy theories, and carrying out high-resolution sequence stratigraphic division; dividing a reservoir configuration interface; and according to the internal structure of the sedimentary system, the sedimentary facies distribution, the focused high-frequency sequence and the sedimentary body scale, generating a fine characterization result of the braided river reservoir of the target area configuration unit. According to the method, the defects in the aspects of reservoir fine description, boundary identification, parameter inversion and the like in the prior art are effectively overcome, and the efficiency and success rate of oil and gas reservoir development are improved.