• 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