9 results about "Sequence stratigraphy" patented technology

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.

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.

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 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 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.