18 results about "Sequence stratigraphy" patented technology

The invention relates to the technical field of wind power road geological analysis, in particular to a three-dimensional geological modeling and section visualization method and system for wind power road construction. The method comprises the following steps: establishing a geological drilling data matrix through geological drilling data; extracting geological attribute data through lithology analysis, calibrating the relationship of each stratum through sequence analysis, constructing a standardized geological drilling data set, constructing a spatial continuous geological attribute scalar value distribution model through a Gaussian process interpolation algorithm, and constructing an implicit function by taking the geological attribute scalar value distribution model as the implicit function. And generating a three-dimensional geologic model through a contour surface extraction algorithm, carrying out geologic attribute scalar value extraction on the three-dimensional geologic model based on the road route data, generating wind power road profile data, and visualizing a data result. An efficient and low-cost solution is provided for geological judgment and optimization in wind power plant road design, the requirements for accuracy and high efficiency of engineering projects are met, and reliable guarantee is provided for wind power road construction.

The present invention belongs to the technical field of petroleum and natural gas exploration. Provided are an intelligent seismic high-frequency sequence interpretation method and apparatus using logging information. The method comprises: inputting, into a sequence stratigraphy prediction model in a current state, seismic attribute data of determined point locations, which are determined on the basis of a sequential path, along a well-tie seismic trace of a known conditioning well in a target block, so as to obtain high-frequency sequence stratigraphy data of the determined point locations; and determining whether any high-frequency sequence stratigraphy data of a point location in the target block has not been obtained, and if any high-frequency sequence stratigraphy data of a point location in the target block has not been obtained, adding the high-frequency sequence stratigraphy data of the determined point locations to sequential simulation conditioning data, using updated sequential simulation conditioning data to construct a learning sample to train the sequence stratigraphy prediction model in the current state, and then jumping to the previous step to perform high-frequency sequence stratigraphy prediction on the next determined point location determined on the basis of the sequential path. The method can be applied to onshore early-exploration blocks and offshore sparse-well blocks, etc., so as to realize high-frequency sequence interpretation of these blocks with high efficiency, low costs and high accuracy.

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 application discloses a kind of quantitative description fault inversion process method based on balanced section, comprising the following steps: S1: selecting geological profile;S2: division different inversion stage sequence stratigraphy;S3: determine the geologic time of different activity stages of inversion fault;S4: use balanced section technology to restore the evolution history of inversion fault;S5-S7: calculate the slip distance of different stages inversion fault, and calculate the slip rate, inversion intensity coefficient of different inversion stages;S8: establish equivalent point distance, total slip distance, slip rate and inversion intensity coefficient trend chart with geologic time variation, the application is suitable for basin structural analysis technical field, introduce balanced section technology, can more accurately restore fault inversion process;Moreover, can clearly, accurately, quantitative characterization fault inversion process from fault slip distance, the activity intensity of different stages and inversion intensity etc., facilitate different inversion structure contrast, basin structural analysis etc. work is carried out.

The application discloses a method and device for determining sequence boundaries of high-frequency seismic sequence strata, which comprises the following steps: generating a relative geologic time model according to a three-dimensional seismic data body, extracting an initial seismic-based medium-low-frequency first sequence boundary data body, extracting a seismic-based first-time sequence boundary curve, performing baseline removal, obtaining a seismic-based second sequence boundary data body through first-time waveform difference inversion, extracting a seismic-based third-time sequence boundary curve as a base curve, fusing the base curve with a gamma curve, a porosity curve, a carbonate rock particle curve, a carbonate rock texture curve, a carbonate rock suture line frequency curve, an asphalt content curve and a dolomite content curve which reflect sequence boundaries, and obtaining a seismic-based high-frequency third sequence boundary data body through second-time waveform difference inversion after the fusion, and finally identifying high-frequency seismic sequence boundaries with very high precision.

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.

This invention discloses a method, apparatus, equipment, and medium for analyzing the gas-water distribution in braided river sandstone gas reservoirs. The method includes: establishing a high-frequency sequence stratigraphy framework for the target layer based on the lithology of the core sample of the target layer in the braided river sandstone gas reservoir to be analyzed, and the corresponding well logging curves; performing sedimentary facies profile distribution analysis on the target layer; analyzing the gas reservoir type based on the results of the high-frequency sequence stratigraphy framework and sedimentary facies profile distribution analysis; and determining the gas-water distribution boundaries and gas layer units according to the gas reservoir type. Using this invention, the gas-water distribution in braided river sandstone gas reservoirs can be analyzed, solving the problem of complex gas-water distribution and difficulty in accurately determining the gas-water distribution in braided river sandstone gas reservoirs.

The application discloses a kind of layer sequence stratigraphic correlation method, device, equipment, medium and product.Therein, the method comprises: obtaining the well logging data corresponding to the oil well to be analyzed;According to the multiple natural gamma logging values in the well logging data corresponding to the oil well to be analyzed and natural gamma curve, determine the target base level cycle chart corresponding to the oil well to be analyzed;According to target base level cycle chart, the layer sequence stratigraphy of oil well to be analyzed is divided, to determine at least one layer sequence stratigraphic unit corresponding to the oil well to be analyzed;According to the preset feature comparison order, in turn, the layer sequence stratigraphic unit corresponding to the oil well to be analyzed and at least one to be compared layer sequence stratigraphic unit corresponding to the oil well to be compared, which is determined in advance and corresponds to the oil well to be analyzed, are compared in feature, to determine at least one stratigraphic unit matching set corresponding to the oil well to be analyzed.The technical scheme realizes the effect that the layer sequence stratigraphic unit of different oil wells is compared in feature accurately and quickly.

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.

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 belongs to the technical field of oil-gas exploration, and discloses a carbonate rock stratum sequence stratigraphic quantitative division method based on element geochemistry, which comprises the following steps: S1, sampling rocks, and drawing a stratigraphic histogram and sampling point horizon; s2, the obtained samples are screened, and fresh flour of the selected samples is ground into powder for preparation; s3, testing the prepared sample powder to obtain geochemical test data; s4, key indexes for identifying third-level and fourth-level sequence interfaces are determined, and values of the key indexes are projected on the stratigraphic section according to the depth. The method has the advantages that according to the characteristic that the change of the ancient sedimentary environment can cause rising and falling of the sea level, so that stratigraphic records have different geochemical response characteristics; the geochemical elements are innovatively introduced to quantitatively divide the stratigraphic sequence, the problem that only the stratigraphic sequence can be qualitatively divided in the prior art is solved, and the precision and accuracy of carbonate rock stratigraphic sequence recognition are improved.

The present invention discloses a high-precision velocity field construction method for horizontal well development combined with well-seismic data. The method is first based on the fine structural interpretation of small layers under the constraints of sequence stratigraphy. Through velocity simulation under seismic constraints, the technical problems of low vertical resolution of velocity fields and inter-well modeling in conventional methods are effectively solved, and a high-precision velocity field in the medium and deep layers is established. Secondly, in order to solve the problem of missing velocity curves in shallow layers, the velocity spectrum after well calibration is used to establish a near-surface velocity field. Then, an adaptive optimal value selection algorithm is used to effectively integrate the shallow layer velocity field with the medium and deep layer velocity field to form a complete high-precision three-dimensional velocity field model. Finally, the marker layer inverted triangle layer-by-layer approximation method is used, relying on new drilling data, to continuously correct the velocity model and achieve high-precision structural model updates that accompany the entire life cycle of oil reservoir development. The present invention belongs to the field of oil and gas extraction technology and can reduce the structural error of the "sweet spot" of thin shale oil layers, thereby ensuring the precise entry of horizontal wells into the target.

This invention relates to a multi-dimensional well logging lithology identification method and apparatus. The method includes acquiring current well logging data of a well to be tested; performing sequence stratigraphy on the well to obtain sedimentary sequence stratigraphy results based on the current well logging data; dividing the current well logging data into data segments of different sequences based on the sedimentary sequence stratigraphy results; inputting the data segment of each sequence into a lithology identification model for lithology identification to obtain the lithology probability distribution corresponding to each sequence; and performing geological constraint correction on the lithology probability distribution based on the continuous depth on the well to obtain the final lithology identification result. This invention performs sequence stratigraphy on the well to be tested, thereby enabling lithology identification of data segments of different sequences, obtaining well logging performance in different strata, and combining geological information to perform geological constraint correction on the lithology probability distribution, thus combining geological information with well logging data and improving the lithology identification effect.

This application discloses a method, apparatus, equipment, and storage medium for characterizing ancient spreading ridge formation systems, relating to the field of data processing technology. The method includes: acquiring multidimensional geological and geophysical data characterizing the ancient spreading ridge formation system; determining target feature data for the study area based on the multidimensional geological and geophysical data; wherein the target feature data includes the geomorphic features, sequence stratigraphy, development location and extension length of fault systems, igneous diapiric structures, and the distribution of magnetic anomaly bands in the study area; constructing a corresponding scene of geomorphology, sequence stratigraphy, and fault systems based on the target feature data, determining the dynamic mechanism of the ancient spreading ridge development process, and then constructing a geological model characterizing the ancient spreading ridge formation system. By comprehensively considering multiple factors in the development of the ancient spreading ridge formation system, it is possible to explain in detail the geodynamic mechanism of the ancient spreading ridge formation system characterization process and to more closely approximate the tectonic-sedimentary evolution process of the actual ancient spreading ridge.

This invention discloses a method, electronic device, and computer-readable storage medium for predicting fracture development in tight sandstone based on multi-geological parameter coupling constraints. The method includes: first, standardizing the basic geological data of the target tight sandstone gas reservoir area to form a standardized geological database; then, based on the standardized geological database, identifying structural features, lithological features, and sequence stratigraphy, establishing a quantitative coupling control model of "geological structure-sedimentary microfacies-high-frequency sequence stratigraphy," and calculating the comprehensive quantitative value of each feature; finally, based on the comprehensive quantitative value of each feature, classifying favorable fracture development zones. This method, electronic device, and computer-readable storage medium establish a scientific model for predicting fracture development in tight sandstone, improving prediction accuracy and reliability.

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.

The application belongs to the field of geophysical exploration, and particularly relates to a method for seismic sequence division based on aurora optimization two-dimensional step-by-step variation mode decomposition, comprising the following steps: obtaining an original two-dimensional seismic signal; based on the original two-dimensional seismic signal, an optimal penalty factor upper limit is solved by using an aurora optimization algorithm; based on the optimal penalty factor upper limit, the original two-dimensional seismic signal is subjected to two-dimensional step-by-step variation mode decomposition to obtain multi-order two-dimensional modes with different central frequencies; based on the multi-order two-dimensional modes, a frequency feature profile is calculated and generated, a cycle curve is extracted, and a sequence division of strata is performed. The method of the application extracts a real mode while ensuring the continuity of a phase axis, avoids a pseudo mode and mode aliasing, and obtains a sequence division result corresponding to a well logging curve cycle analysis result.