Seismic signal enhancement method and device based on continuous wavelet transformation

Abstract

The invention provides a seismic signal enhancement method and device based on continuous wavelet transformation. The method includes the steps that seismic signals are decomposed into multi-scale-domain characteristic signals; the main scale in the multi-scale-domain characteristic signals is selected as a reference scale; correlation calculation is conducted on the multi-scale-domain characteristic signals through the reference scale so as to build correction coefficients of wavelet weight coefficients; the seismic signals are reconstructed according to the correction coefficients of the wavelet weight coefficients. Continuous wavelet transformation used in the seismic signal enhancement method and device based on continuous wavelet transformation is a time-scale analysis method, the low frequency part has high frequency resolution, the high frequency part has high time resolution, namely, the method has the capacity of representing signal local characteristics in both the time domain and the scale domain, the seismic signals of different scales are selectively reconstructed through correlation reconstruction wavelet coefficients, and therefore interference waves can be effectively eliminated, and characteristic extraction and enhancement of effective signals are achieved.

Description

technical field [0001] The invention relates to a digital processing method for petroleum geophysical exploration seismic data, in particular to a seismic signal enhancement method and device based on continuous wavelet transform. Background technique [0002] Short-time Fourier transform is commonly used in digital processing of seismic data in petroleum geophysical exploration. The short-time Fourier transform is a signal analysis method with a single resolution. Its idea is to select a time-frequency localized window function, and assume that the analysis window function g(t) is stable in a short time interval (pseudo Stationary), move the window function, so that f(t)g(t) is a stationary signal in different finite time widths, so as to calculate the power spectrum at different moments. The short-time Fourier transform uses a fixed window function. Once the window function is determined, its shape will not change, and the resolution of the short-time Fourier transform is...

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Problems solved by technology

This also shows from another aspect that the time and frequency resolution of the short-time Fourier transform window function cannot be optimal at the same time.

[0003] However, usually the seismic signal is very complex, and sometimes the energy of the effective signal is weak. Therefore, the existing seismic signal analysis method based on short-time Fourier transform cannot extract the effective signal with weak energy from the complex seismic signal. Signal

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