Three-dimensional seismic slice attribute body extraction method based on high-precision sequence framework model

Abstract

The invention discloses a three-dimensional seismic slice attribute body extraction method based on a high-precision stratigraphic framework model, and the method comprises the steps: building a high-precision stratigraphic framework model according to a high-precision seismic interpretation result horizon and a fault, setting sequence contact relations in the stratigraphic frameworks one by one according to a mode parallel to the top, a mode parallel to the bottom, a mode parallel to the top-bottom balance and a seismic driving mode, establishing a high-precision sequence framework model, and converting seismic data volumes into seismic attribute volume data according to seismic attribute types needing to be analyzed; integrating the high-precision sequence framework model and the calculated seismic attribute body, setting attribute calculation and statistical parameters in each sequence framework small layer, and calculating a seismic attribute value at each model grid point; and performing cyclic calculation on each grid point, and finally realizing continuous slice seismic attribute extraction based on the high-precision sequence framework model. The method has the advantages that the storage disk space is small, the calculation efficiency is high, and geologic evolution feature analysis of geologic features in the three-dimensional work area from ancient to new is carried out at the same time.

Description

Technical field: [0001] The invention belongs to the technical field of oil and gas exploration and development, and relates to a three-dimensional seismic slice attribute volume extraction method based on a high-precision sequence lattice model. Background technique: [0002] Seismic attribute technology is a set of methods for extracting, storing, verifying, analyzing, confirming, evaluating seismic attributes and converting seismic attributes into reservoir characteristics. Different seismic attributes have different physical meanings, and the attributes that can reflect the underground geological conditions can be extracted and analyzed to achieve the purpose of reservoir prediction. [0003] Seismic attribute extraction technology can extract plane information from seismic data. Compared with geological data, it can help seismic interpreters to correctly understand geological phenomena, especially reservoir characteristics, thus increasing the application value of seism...

AI Technical Summary

Problems solved by technology

However, due to the non-one-to-one relationship between seismic data and logging data, the seismic wave group characteristics at a certain depth in the post-stack seismic data we see are not only the response of the formation interface at this depth, but also the response of the sedimentary layer. A result of mutual interference and superposition of reflection interfaces at this depth, the attribute value at a certain depth will be affected by the upper and lower strata interfaces, without considering the influence of the thickness of the sedimentary stratum on the attributes, which is not conducive to the overall analysis of the attribute characteristics of the sedimentary layer

And because the attributes are extracted at a single level, there is no correlation between the extracted attributes, and it is difficult for interpreters to conduct continuous analysis according to the depositional model

Although expanding the seismic attributes in the Wheeler domain solves the continuous analysis requirements of seismic attributes to a certain extent, the seismic attributes in the Wheeler domain are still instantaneous attributes of sedimentation, and the data volume and display efficiency are often insufficient

[0009] At present, the existing seismic attribute extraction methods have certain limitations in reservoir prediction, and it is difficult to provide effective technical support for the application of actual seismic attributes in reservoir prediction.

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