DocumentCode
3074156
Title
Frequency Domain Seismic Blind Deconvolution Based on ICA
Author
Wei, Gao ; Huaishan, Liu
Author_Institution
Key Lab. of Submarine Geosci. & Prospecting Tech., Ocean Univ. of China, Qingdao, China
Volume
1
fYear
2010
fDate
16-18 July 2010
Firstpage
440
Lastpage
443
Abstract
Independent components analysis (ICA) is combined with shot time Fourier transform(STFT) to improve the traditional frequency domain seismic deconvolution in this paper. Neglecting noise, the seismic record is changed from time domain to frequency domain with STFT in order to transform the common seismic model to the basic ICA model. By applying FastICA algorithm, reflectivity series and the seismic wavelet can be produced in frequency domain and changed back to the time domain subsequently. The model and real seismic data numerical examples all show the algorithm valid. The advantage of this new method is to inverse blindly the wavelet and the reflectivity effectively with no assumption of Guassality and whiten noise to reflectivity, and no assumption of minimum phase to seismic wavelet. The algorithm refered here propose a new way of seismic deconvolution and worth doing more researches.
Keywords
Fourier transforms; blind source separation; deconvolution; frequency-domain analysis; geophysical signal processing; independent component analysis; seismology; wavelet transforms; FastICA algorithm; STFT; frequency domain seismic blind deconvolution; independent components analysis; reflectivity series; seismic record; seismic wavelet; short time Fourier transform; Deconvolution; Frequency domain analysis; Noise; Reflectivity; Time domain analysis; Wavelet domain; Wavelet transforms; frequency domain deconvolution; independent component analysis(ICA); shot time Fourier tranform(STFT);
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications (IFITA), 2010 International Forum on
Conference_Location
Kunming
Print_ISBN
978-1-4244-7621-3
Electronic_ISBN
978-1-4244-7622-0
Type
conf
DOI
10.1109/IFITA.2010.121
Filename
5634985
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