Scale domain multichannel filtering method and device based on seismic signal continuous wavelet transformation

Abstract

The invention provides a scale domain multichannel filtering method and device based on seismic signal continuous wavelet transformation. The method includes the following steps that seismic signals are decomposed into multi-scale-domain characteristic signals through continuous wavelet transformation; scale-space F-X domain multichannel prediction filter processing is conducted on the multi-scale-domain characteristic signals; the seismic signals are reconstructed according to the multi-scale-domain characteristic signals on which scale-space F-X domain multichannel prediction filter processing is conducted. According to the method and device, the seismic signals are decomposed into the multi-scale-domain characteristic signals, random noise of seismic sections of different scale is selectively eliminated according to the characteristics of different signals and noise and through F-X domain multichannel prediction filtering, the seismic signals are reconstructed on the basis, and therefore interference waves can be effectively eliminated without reducing resolution of signals, the effect of increasing the signal to noise ratio of effective signals is achieved, and effective signals with weak energy can be extracted from complex seismic signals.

Description

technical field [0001] The invention relates to a digital processing method for petroleum geophysical exploration seismic data, in particular to a scale-domain multi-channel filtering method and device based on continuous wavelet transform of seismic signals. Background technique [0002] In the digital processing of petroleum geophysical exploration seismic data, denoising processing is often required. The existing commonly used denoising methods are frequency domain filtering and frequency wavenumber domain filtering developed by Fourier transform and its extension, which mainly remove seismic data. The surface wave in , suppresses the side interference with the same apparent velocity. [0003] Among them, f-x domain de-noising, f-xy domain de-noising and f-xyz de-noising technologies mainly suppress random noise in 2D and 3D seismic data. Due to the limitation of assumptions, the denoising method of f-x domain quasi-linear transformation is developed on this basis, and t...

AI Technical Summary

Problems solved by technology

The frequency-domain forward transform adaptive algorithm developed by Radon transform can effectively suppress multiple waves and random noise, but its calculation time is large, and it is required that there must be enough time difference between multiple waves and effective waves. Will produce Gibbs effect (Gibbs phenomenon)

[0004] Therefore, the current conventional filtering methods also reduce the resolution of the effective signal while reducing the noise, without significantly improving the signal-to-noise ratio of the effective signal, making it difficult to extract effective signals with weak energy from complex seismic signals.

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