Seismic signal noise reduction method and system based on dual-tree complex wavelet domain

Abstract

The invention relates to a seismic signal noise reduction method and a seismic signal noise reduction system based on a dual-tree complex wavelet domain. The seismic signal noise reduction method comprises the steps of: step a, establishing a noisy seismic signal model, and converting dual-tree complex wavelet domain decomposition transform on a noisy seismic signal to obtain a noisy wavelet coefficient at each scale in each direction; step b, establishing a bivariate model for rear part wavelet coefficients or imaginary part wavelet coefficients in the same direction and corresponding modes to obtain a threshold value function, and converting bivariate threshold value processing on the noisy wavelet coefficients in the dual-tree complex wavelet domain by utilizing the threshold value function to obtain an estimated value of a noise-free wavelet coefficient; step c, and reconstructing the estimated value of the noise-free wavelet coefficient by utilizing dual-tree complex wavelet inverse transformation to obtain original seismic signals after noise reduction. The seismic signal noise reduction method and the seismic signal noise reduction system take correlation between the rear part (or imaginary part) coefficients and the corresponding modes into account, establish the bivariate model for the rear part (or imaginary part) coefficients and the corresponding modes for noise reduction, effectively suppress random noise, make the overall seismic signals clear, and improve signal quality.

Description

technical field [0001] The invention belongs to the technical field of seismic signal noise reduction, in particular to a seismic signal noise reduction method and system based on a dual-tree complex wavelet domain. Background technique [0002] With the deepening of seismic exploration and the application of some advanced technologies in seismic exploration, people's requirements for the signal-to-noise ratio of seismic data are also increasing, which makes the research on noise reduction methods particularly important. The particularity and complexity of various seismic noises in practice have brought certain difficulties to the noise reduction work, so people spare no effort to study better noise reduction methods. [0003] The frequency domain filtering method based on Fourier transform is a classic method in seismic data processing. This method suppresses the interference wave and highlights the effective wave according to the difference in frequency band between the ef...

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Problems solved by technology

[0009] The present invention provides a seismic signal denoising method and system based on dual-tree complex wavelet domain, aiming to solve the problem that the existing seismic signal denoising method ignores the correlation dependence between coefficients, does not establish a wavelet domain statistical model, and only Using traditional wavelet, the lack of multi-directional technical problems

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