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Research Article

Research on Seismic Data Denoising Method by Wavelet Packet Transform

Shucong Liu, Xun Chen and Ergen Gao
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Seismic data denoising processing is one of the main tasks to solve in seismic exploration and to improve the signal-to-noise ratio of seismic signals is particularly important. Wavelet packet decomposition techniques are selected to reduce the noise of seismic wave signals and wavelet packet decomposition processing to test signal, synthetic seismic signals and the actual seismic data are done by MATLAB,reducing the high frequency random noise better and retaining the useful signal. The validity and reliability of the wavelet packet noise reduction are verified and the simulation results show that the wavelet packet denoising techniques can effectively reduce noise in seismic signals to improve the resolution.

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  How to cite this article:

Shucong Liu, Xun Chen and Ergen Gao , 2013. Research on Seismic Data Denoising Method by Wavelet Packet Transform. Journal of Applied Sciences, 13: 2903-2908.

DOI: 10.3923/jas.2013.2903.2908


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