• DocumentCode
    190979
  • Title

    A new method for the time-variant seismic wavelet estimation

  • Author

    Manman Zhang ; Yongshou Dai ; Yanan Zhang ; Jinjie Ding ; Rongrong Wang

  • Author_Institution
    Coll. of Inf. & Control Eng., China Univ. of Pet., Dongying, China
  • fYear
    2014
  • fDate
    5-8 Aug. 2014
  • Firstpage
    582
  • Lastpage
    586
  • Abstract
    To widen the subsection stationary assumption of the seismic wavelet in common sectional method for time-variant wavelet estimation, the time-variant mixed-phase seismic wavelet estimation method based on spectral modeling in time-frequency domain is proposed. The seismic record is transformed into time-frequency domain using the improved generalized S-transform firstly. After filtering the time-frequency spectrum in time-frequency, the amplitude spectrum of the time-variant wavelet is estimated using spectral modeling method at every moment. With the assumption that the wavelet phase is time-invariant, mixed phase is estimated by the bispectrum from the proposed seismic record of no wavelet amplitude. Then the time-variant mixed-phase seismic wavelet is received by combining the estimated amplitude spectrum and phase spectrum. Theoretical analysis and synthetic example results show that the method is effective and feasible.
  • Keywords
    geophysical techniques; seismic waves; common sectional method; generalized S-transform; mixed-phase seismic wavelet; seismic record; spectral modeling method; time-frequency domain; time-frequency spectrum; time-variant mixed-phase seismic wavelet estimation method; Attenuation; Estimation; Filtering; Time-frequency analysis; Wavelet domain; Wavelet transforms; bispectrum; improved generalized S-transform; mixed phase; spectral modeling; time-frequency filter; time-variant wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4799-5272-4
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2014.6986260
  • Filename
    6986260