Calculation method for abnormal body edge detection based on improved seismic slice technology

Abstract

A calculation method for abnormal body edge detection based on improved seismic slice technology aims to provide a reservoir prediction technique that accurately characterizes the boundary of anomalous bodies. The method comprises the following steps of (1) calculating the total number of seismic slices, dividing by the number of intra-layer time sampling points, and determining the base number of the seismic slices and the number of the respective special sampling points corresponding to each sampling point according to the quotient and remainder in the result; (2) determining the distribution of the respective special sampling points based on the parity of the number of intra-layer time sampling points and the number of the special sampling points, and the positions of the interval central sampling points; (3) extracting the seismic slices from 3D seismic data by using top and bottom interface time horizons of the stratum and combined with the result in the step (2), and calculating its edge attributes by using the edge detection technique based on wavelet transform; (4) calculating the average value of edge attribute values of the seismic slices corresponding to the respective intra-layer time sampling points; and (5) constructing a 3D seismic edge attribute body and displaying the same in the graph. The method provided by the invention improves the detection precision of the boundary of the abnormal body by improving the seismic slice extraction technology.

Description

technical field [0001] The invention relates to the detection of anomalous body edges in the field of oil and gas geophysics. It is a method for describing anomalous body boundaries based on post-stack three-dimensional seismic data, and is used to provide an analysis technology for accurately identifying anomalous body boundaries on sections and planes. Background technique [0002] Edge detection technology is widely used in seismic data interpretation, mainly to identify the boundaries of geological anomalies such as small and medium faults, fractures and sand bodies in reservoirs. Many scholars have made a lot of method explorations to improve the accuracy of edge detection in seismic images. For example, He Zhenhua, Huang Handong, etc. (1999) introduced the Canny edge detection criterion, using multi-scale wavelet function as the detection operator to detect the lateral change of the underground medium; Xu Huiqun , Gui Zhixian (2009) used edge detection technology to pr...

AI Technical Summary

Problems solved by technology

Due to weathering, denudation, etc. before burial and geological structural movement after burial, the actual stratum time thickness varies regionally, which also causes the top and bottom interfaces of the strata to be non-parallel, so generally When performing edge detection, a research interval containing the target layer is extracted and its time thickness is a constant, so the information contained in some slice images in the seismic slice obtained based on the conventional seismic slice extraction method does not fully reflect the The boundaries of geological anomalies represented by the obtained edge attributes are inaccurate

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