Seismic Data Denoising Simulation Research Based on Wavelet Transform

Shu Cong Liu; Er Gen Gao; Chen Xun

doi:10.4028/www.scientific.net/AMM.490-491.1356

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 490-491Seismic Data Denoising Simulation Research Based...

Seismic Data Denoising Simulation Research Based on Wavelet Transform

Abstract:

The wavelet packet transform is a new time-frequency analysis method, and is superior to the traditional wavelet transform and Fourier transform, which can finely do time-frequency dividion on seismic data. A series of simulation experiments on analog seismic signals wavelet packet decomposition and reconstruction at different scales were done by combining different noisy seismic signals, in order to achieve noise removal at optimal wavelet decomposition scale. Simulation results and real data experiments showed that the wavelet packet transform method can effectively remove the noise in seismic signals and retain the valid signals, wavelet packet transform denoising is very effective.

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Periodical:

Applied Mechanics and Materials (Volumes 490-491)

Pages:

1356-1360

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.490-491.1356

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Online since:

January 2014

Authors:

Shu Cong Liu, Er Gen Gao, Chen Xun

Keywords:

MATLAB, Seimic Denoising, Simulation, Wavelet Packet

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References

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