Density-based seismic facies extraction method of noise-containing application spatial clustering

Abstract

The invention discloses a density-based seismic facies extraction method of noise-containing application spatial clustering. The method comprises the following steps of: S1, processing actual seismicdata, eliminating noise in the seismic signals, and improving a signal-to-noise ratio; S2, based on the seismic sedimentology principle, forming stratum slices by uniform segmentation along the top and bottom boundaries of a target layer; S3, extracting seismic waveform information capable of expressing reservoir characteristic change of a real target layer based on the stratum slices; S4, standardizing and normalizing the acquired seismic waveform data to eliminate the influence caused by mutation of different attribute characteristic parameters; and S5, completing the spatial clustering analysis of the seismic waveform data of the target layer through adoption of a density-based noise-containing application spatial clustering method, and forming a corresponding seismic phase diagram. Theprecision of extracting seismic waveforms along the conventional layer according to time windows is improved, the requirement of waveform information changing along with reservoir characteristics ismet, and a material foundation is laid for the seismic waveform clustering analysis.

Description

technical field [0001] The invention belongs to the technical field of seismic phase analysis in geophysical exploration, in particular to a seismic phase extraction method based on density-based noise-containing application space clustering. Background technique [0002] Signal processing technology is widely used in modern production and life, and plays an important role in the fields of communication, medical treatment, military industry, geological exploration and so on. Especially in the field of energy exploration, signal processing technology runs through almost the entire system. Seismic phase analysis is an important application of seismic signal processing. Seismic phase analysis is to detect underground reservoirs and rock structures according to different modes of seismic signals, and signal classification is the key technology. By dividing the signals acquired by seismic acquisition into different categories, the analysis of stratigraphic attributes and structu...

AI Technical Summary

Problems solved by technology

However, there are still some deficiencies, the number of seismic waveform clustering categories needs to be given in advance, noise points cannot be effectively identified, and waveform clusters distributed in arbitrary shapes in space cannot be satisfied, so the accuracy of cluster analysis cannot be guaranteed

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