A seismic facies analysis method based on prestack seismic data

Abstract

The invention discloses a seismic facies analysis method based on prestack seismic data. The method includes the first step of inputting the prestack seismic data; the second step of splitting the input prestack seismic data to obtain N poststack-like data volumes, wherein N is the number of channels of seismic signals; the third step of carrying out SOM clustering analysis on the N poststack-like data volumes; the fourth step of conducting similarity analysis on the prestack data by means of clustering analysis results, generating a similarity matrix through statistics and constructing an undirected graph; the fifth step of carrying out clustering processing on the undirected graph by means of breadth-first traversal. The invention provides a prestack attribute clustering method based on an undirected connected graph. On the basis of prestack signals, SOM clustering analysis is conducted on each channel of the signals and multiple clustering results are counted and analyzed so that the optimal analysis result based on the prestack signals can be obtained, information of the prestack data can be fully utilized, and anisotropic characteristics of the signals are integrated into clustering judgments.

Description

technical field [0001] The invention relates to seismic data analysis technology, in particular to a seismic phase analysis method based on pre-stack seismic data. Background technique [0002] With the development of the economy, society's demand for oil, natural gas and other resources continues to increase. However, to exploit oil and gas, the underground geological structure must first be known. Therefore, seismic data play an important role in the geological exploration process. Seismic facies analysis technology is an important method for geological modeling and reservoir prediction using seismic data in geological exploration. [0003] Seismic facies analysis is to divide the seismic sequence into different seismic facies areas on the basis of dividing the seismic sequence and using the difference in seismic parameter characteristics. In actual seismic exploration, seismic exploration personnel conduct micro-seismic blasting underground , the method of setting the re...

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Problems solved by technology

[0006] The above two types of methods are based on post-stack data, and fail to make full use of the information of pre-stack data, and have the following two shortcomings: (1) The traditional seismic facies analysis method is based on post-stack signals, which cannot integrate the anisotropy of signals Feature fusion into clustering judgment, based on pre-stack classification method; (2) For pre-stack signal processing, using traditional methods, the anti-noise performance is insufficient, and it is impossible to mine the relationship between signals from the internal connections of signals

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