Research of the Seismic Wave Data Processing Based on the Wavelet Transform

De En; Na Na Wei; Huang He Wei; Xiao Long Shi; Chang Sheng Zhou

doi:10.4028/www.scientific.net/AMM.273.184

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 273Research of the Seismic Wave Data Processing Based...

Research of the Seismic Wave Data Processing Based on the Wavelet Transform

Abstract:

Seismic exploration is a effective methods to ascertain underground structure and looking for oil. As the data collected in the wild are often subjected to the interference of noise, is not conducive to the analysis and interpretation of seismic data, therefore removing noise is the premise of data interpretation. To use the Fourier transform and wavelet analysis denoising a synthetic seismogram in this paper, by comparing denoising results, wavelet soft threshold denoising waveform is smooth, and it can better reconstruction original waveform.

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Periodical:

Applied Mechanics and Materials (Volume 273)

Pages:

184-187

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.273.184

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Online since:

January 2013

Authors:

De En, Na Na Wei, Huang He Wei, Xiao Long Shi, Chang Sheng Zhou

Keywords:

Seismic Waves Signal, Threshold De-Noising, Wavelet Transform (WT)

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References

[1] Hou RF (2009) Application of wavelet transform in seismic random noise removal. Chengdu university of technology.

Google Scholar

[2] Motejo LA, Suarez LE (2006) Wavelet—based identification of site frequencies from earthquake records. Journal of Earthquake Engineering 10(4): 565—594.

DOI: 10.1080/13632460609350610

Google Scholar

[3] Li ShiX, Liu LY (2002) Research based on method of wavelet threshold denoising. Instruments Journal 23(3)497.

Google Scholar

[4] Silverman BW, Johnstone IM (2005) Empirical bayes selection of wavelet thresholds. 33(4): 1700-1752.

Google Scholar

[5] Yang ZhF (2009) The application of wavelet analysis in signal denoising. Sun Yat-sen University.

Google Scholar

[6] Hu ChH, Zhang JB, Xia J, Zhang W (2001) System analysis and design based on matlab. University of electronic science and technology press.

Google Scholar