Seismic spectrum imaging method based on deconvolution generalized S transform

Abstract

The invention discloses a seismic spectrum imaging method based on deconvolution generalized S transform, which comprises the steps that a generalized S transform spectrum is acquired by performing two-dimensional convolution on Wigner distribution of original signals and a Gaussian window, a transform spectrum is acquired by performing generalized S transform on seismic data, and time-frequency distribution of the original signal can be acquired through deconvolution when the generalized S transform spectrum and the Wigner distribution of a window function are known. The seismic spectrum imaging method combines advantages of generalized S transform and Wigner-Ville distribution, generation of a cross term of the Wigner-Ville distribution is effectively suppressed through a generalized S transform window, and the generalized S transform spectrum is enabled to acquire high time-frequency aggregation at the same time; and deconvolution generalized S transform can adaptively adjust an analysis window along with variations of a frequency component, is applicable to time-frequency analysis for unstable seismic data, and can acquire high time-frequency resolution; and the seismic spectrum imaging method is applied to detecting the oil-gas possibility of a reservoir, thereby being conducive to improving the reservoir prediction accuracy.

Description

technical field [0001] The invention belongs to the technical field of seismic spectrum imaging, in particular to a seismic spectrum imaging method based on deconvolution generalized S transform. Background technique [0002] With the deepening of oil and gas seismic exploration, more exploration targets have shifted to subtle oil and gas reservoirs and complex structural oil and gas reservoirs, which require high signal-to-noise ratio and high-resolution seismic data, and seismic spectrum imaging technology has been improving the accuracy of seismic data. one of the research hotspots. The core of spectrum imaging technology is time-frequency analysis, and there are many time-frequency analysis methods, such as short-time Fourier transform, continuous wavelet transform, S-transform, generalized S-transform, etc., but the time-frequency resolution still needs to be improved. Contents of the invention [0003] The purpose of the present invention is to provide a seismic spe...

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Problems solved by technology

[0003] The purpose of the present invention is to provide a seismic spectrum imaging method based on deconvolution generalized S transform, aiming at solving the problem of...

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