57 results about "Stratigraphy" patented technology

The invention relates to the field of sedimentary stratigraphy, in particular to a method for analyzing a deep-time El Nino-Southern oscillation cycle based on a sea-lake facies sediment annual stripe layer. The method comprises the following steps: sampling and grinding a sheet, carrying out high-definition scanning, estimating a deposition rate, carrying out element plane distribution, carrying out principal component analysis on the content of each element, carrying out laser in-situ carbon and oxygen isotope test and time domain spectrum analysis on an annual stripe layer one by one, and finally analyzing the climatic change of the interannual scale in the geological historical period. According to the method, element data, the thickness of the annual lamina and the carbon and oxygen isotope of the annual lamina are analyzed and explained in a combined mode, relevance exists among the indexes, a new method is provided for identification and analysis of the deep-time El Nino-Southern oscillation cycle, a time scale with the year as the unit is established on the basis of the marine facies or lacustrine facies annual lamina, and the identification accuracy of the deep-time El Nino-Southern oscillation cycle is improved. And the climate fluctuation is subjected to high-precision analysis under the scale, so that the related technical blank is filled.

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 discloses a high-resolution seismic sequence division method for a river channel sand group, and relates to the technical field of petroleum and natural gas exploration and development. According to the method, a high-resolution sequence stratigraphy theory is taken as guidance, a flooding mudstone interface is taken as a marker bed, a high-density isochronous slice highly matched with seismic data is obtained, and an isochronous stratigraphic interface identification mark is constructed according to sand body development characteristics, so that the multiplicity of solution division of fluvial facies sand group seismic sequences is effectively reduced. According to the method, on the basis of isochronous stratigraphic division, the division scheme is adjusted according to the actual seismic homonymous axis form and the characteristics of the sand body on the well, the unit division result is more objective and fine, and therefore the method can be widely applied to seismic stratigraphic division of the fluvial facies sand group.

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 invention belongs to the field of water conservancy and hydropower engineering, discloses a finite element grid construction method for free grids of a regular grid foundation of an arch dam in complex geology, and aims to realize high-precision regular grids of a dam body and flexible, diversified and quick free grids of a dam foundation so as to improve the reasonability and effectiveness of stress and overall stable calculation of the arch dam. According to the scheme, firstly, according to arch dam shape design data, a regular arch dam geometry is established; secondly, a dam foundation geometric block is built in the dam foundation near the foundation building surface, and a dam foundation foundation building surface thin layer is obtained; secondly, according to a foundation building surface, a dam foundation foundation building surface thin layer, a terrain surface, a dam foundation lithologic stratum boundary line and a fault structural surface, a geometry of the complex foundation is built; and finally, model mesh generation is carried out on the arch dam geometry, the dam foundation construction base plane thin layer and the geometry of the complex foundation in sequence, specifically, hexahedron mapping mesh generation is carried out on the arch dam geometry, then transition mesh generation from hexahedron to tetrahedron is carried out on the geometry of the dam foundation construction base plane thin layer, and model mesh generation is carried out on the geometry of the complex foundation. And finally, carrying out free mesh generation on the geometry of the complex foundation.

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.

A method that allows for fast and accurate interpretation of well log or geotechnical data or cone penetration test data to provide a labelled discrete log of stratigraphy and / or grain size trends. The discrete log can be used for advanced subsurface interpretation and modeling and identifying correlations between wells and 3D static model conditioning.

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.

The invention relates to the technical field of oil-gas exploration, in particular to a clastic rock buried hill stratum comparison and division method. A clastic rock buried hill stratum comparison and division method comprises the following steps that S1, the structure background of a buried hill in a target area is known, and single-well rock stratum analysis is carried out with stratigraphy as guidance; s2, on the basis of collected single well, well connection and seismic datum plane recognition, cycle analysis of lithology, rock electricity and seismic response is carried out, and well connection and seismic stratigraphic comparison is carried out; s3, in combination with the comparison result of the lithology combination, the rock electricity combination and the seismic response characteristics, the difference of the drilling reveal strata series characteristics between different areas is determined, and a sedimentary reference plane with obvious characteristics and typical phenomena is found according to the comparison result; s4, step-by-step comparison is carried out on the target horizon according to the development characteristics of the strata series between the regions, the preservation condition of each strata series is determined, well-connected rock stratigraphic comparison and division are completed, and a stratigraphic framework is established.

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.

Within the scope of this invention, "Fossil Vision Software from Photographs" was developed, which is thought to bring great convenience and innovation to paleontological and stratigraphic studies. By the help of this developed invention, from the photographs of microfossils (single-celled fossils) belonging to the acritarch and chitinozoan groups, it is possible to automatically predict which genus the individual in the photograph belongs to. In micropaleontological studies, the genus and species determination of fossils can be made by experts under the microscope. Fossil identification is a time-consuming and highly specialized process. With this system developed using deep learning and computer vision techniques, these problems are prevented, the margin of error observed in the definitions can be reduced, and it may be sufficient to have a lower level of expertise required during the definitions.

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.

The invention discloses a multi-scale deposition cycle phase space fine characterization method and system and application, the method combines a variational mode decomposition method and synchronous extrusion optimal basis wavelet transform, and provides a working process for multi-scale deposition cycle characterization. The method comprises the following steps: firstly, giving a relationship between geological structures with different scales and intrinsic mode functions through theoretical derivation, and proposing a method for determining the number of the intrinsic mode functions; in consideration of the problem of transverse continuity of calculation efficiency and a decomposition result, a variational mode decomposition algorithm is improved, namely, the number of intrinsic mode functions and the center frequency of the intrinsic mode functions are determined according to a smooth reflection coefficient amplitude spectrum. On this basis, multi-scale deposition cycle characterization is realized by combining synchronous extrusion optimal basis wavelet transform and ridge extraction methods; the key parameters in the processing process are all extracted from the seismic data, operation is easy, the calculation speed is high, the method is suitable for massive seismic data processing, and an important tool is provided for subsequent sequence stratigraphy research.

The invention relates to the technical field of oil-gas exploration and development, and provides a method and system for calculating formation water resistivity by using formation water chloride ion concentration, and the method comprises the steps: obtaining a regional underground formation water sample; according to the formation water sample, determining the incidence relation between the chloride ion concentration and the sodium ion concentration of different water types and the total mineralization degree of the formation water; respectively determining other core ions of each water type; calculating the concentration of each core ion based on the incidence relation and the ion charge balance principle; according to the conversion relation between the formation water total mineralization degree and the equivalent NaCl mineralization degree, the equivalent sodium ion concentration or the equivalent chloride ion concentration is obtained through the core ion concentration, and then the equivalent NaCl solution total mineralization degree of different water types is obtained through the incidence relation; and calculating the formation temperature value according to the ground temperature gradient and the formation burial depth, and calculating the formation water resistivity according to the relationship among the equivalent NaCl mineralization degree, the formation temperature value and the resistivity. According to the invention, the resistivity of the formation water can be accurately measured.

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.

The present application discloses a method, device and computer storage medium for obtaining the reservoir drilling rate of a horizontal well, and belongs to the technical field of oil and gas exploration and development. The method comprises: after obtaining the formation model of the target layer segment, determining the logging parameters on the wellbore trajectory based on the wellbore trajectory and the formation model of the horizontal well, and then determining the target length of the logging parameters of the wellbore trajectory within a specified range, that is, the reservoir drilling rate of the horizontal well can be obtained based on the ratio of the target length to the length of the wellbore trajectory. The method for obtaining the reservoir drilling rate of a horizontal well can obtain the drilling rate of the horizontal well according to the wellbore trajectory and the formation model of the horizontal well, reducing the workload of the actual measurement of the horizontal well; it solves the problem of long time consumption in obtaining the drilling rate of the horizontal well in the related technology, and achieves the effect of quickly obtaining the drilling rate of the horizontal well.

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.

The present invention is a method for exploiting a sedimentary basin using an updated stratigraphic model based on updating a stratigraphic model according to measurements performed in a basin. The method comprises steps of i) determining at least a first spatial distribution of the values of an attribute representative of the basin stratigraphy, and applying a classification method for converting this first spatial distribution to a first classified image; ii) performing a stratigraphic simulation with first parameter values of the simulation, deducing therefrom a second spatial distribution of the values of the attribute and applying the same classification method identically to determine a second classified image; iii) determining a distribution of local dissimilarities between the first and second classified images, and modifying the values of at least one of the stratigraphic simulation parameters to minimize an objective function formed from at least the local dissimilarity distribution; and iv) updating the stratigraphic model by performing at least one stratigraphic simulation with the modified simulation parameter values.

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.

The invention relates to a method for characterizing a geological zone comprising wells, the method comprising: - collecting input data for the geological zone, the input data comprising: • markers for the geological zone, • chronostratigraphic charts of the basin(s) of the geological zone, • lithostratigraphic charts of the basin(s) of the geological zone, - distributing the markers into chronostratigraphic groups and lithostratigraphic groups consisting in affecting some markers into the chronostratigraphic groups and the lithostratigraphic groups depending on the characteristics of said marker, on the chronostratigraphic charts and on the lithostratigraphic charts of the basin(s) of the geological zone, - improving the chronostratigraphic and lithostratigraphic groups consisting in determining representative markers and a composite index for each representative marker, and - characterizing the geological zone on the basis of the chronostratigraphic and the lithostratigraphic groups of markers and of the composite index of each representative marker.

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.