Volume 45 Issue 1
Jan.  2023
Turn off MathJax
Article Contents
Jia B X,Liu G Y,Zhou L L. 2023. Experimental study on seismic wave attenuation compensation based on convolution principle and improved generalized S-transform. Acta Seismologica Sinica,45(1):116−125 doi: 10.11939/jass.20210136
Citation: Jia B X,Liu G Y,Zhou L L. 2023. Experimental study on seismic wave attenuation compensation based on convolution principle and improved generalized S-transform. Acta Seismologica Sinica45(1):116−125 doi: 10.11939/jass.20210136

Experimental study on seismic wave attenuation compensation based on convolution principle and improved generalized S-transform

doi: 10.11939/jass.20210136
  • Received Date: 2021-08-14
  • Rev Recd Date: 2022-01-01
  • Available Online: 2022-12-29
  • Publish Date: 2023-01-15
  • In order to recover the attenuation loss caused by the vibration wave energy in the process of propagation, the inverse Q filtering method based on the convolution principle and the improved generalized S-transform is proposed. Through the vibration attenuation compensation model test, the time-frequency characteristics of the test data are analyzed by improving the generalized S-transform, and the energy distribution of the signal and the corresponding relationship between time and frequency are obtained. The method of quality factor based on convolution principle is used to obtain the time-varying Q value. The test data are processed using inverse Q filtering, and the vibration wave energy is compensated. The results show that the inverse Q filtering method proposed in this paper improves the compensation effect of seismic wave energy attenuation, broadens the frequency band of seismic data, improves the resolution of seismic data, and is conducive to the development of high-resolution seismic exploration, deep signal enhancement and oil and gas reservoir prediction.


  • loading
  • [1]
    Bai H,Li K P. 1999. Stratigraphic absorption compensation based on time-frequency analysis[J]. Oil Geophysical Prospecting,34(6):642–648 (in Chinese).
    Ding J J,Dai Y S,Zhang Y N,Chen J,Wei Y Q,Zhang M M. 2013. Improving seismic data resolution based on high frequency compensation[J]. Progress in Geophysics,28(6):3214–3221 (in Chinese).
    Gao J,Ling Y,Zhou X Y,Mou Y G. 1996. Compensation for spherical divergence and absorption in time-frequency domain[J]. Oil Geophysical Prospecting,31(6):856–866 (in Chinese).
    Gao J H,Wang W B,Zhu G M,Peng Y H,Wang Y G. 1996. On the choice of wavelet functions for seismic data processing[J]. Acta Geophysica Sinica,39(3):392–400 (in Chinese).
    Gao J H,Chen W C,Li Y M,Tian F. 2003. Generalized S transform and seismic response analysis of thin interbeds[J]. Chinese Journal of Geophysics,46(4):526–532 (in Chinese).
    He S M,Wu J Z,Wei P P,Yang Q Q,Wu J H. 2020. A method for the Q estimation of inverse Q filtering based on well seismic fusion[J]. Computing Techniques for Geophysical and Geochemical Exploration,42(4):442–450 (in Chinese).
    Jia X D,Zhai L N,Chen S. 2021. Analysis on the characteristics of time-varying gravity field source changes in Liaoning area[J]. Earthquake,41(1):180–190 (in Chinese).
    Liu X W,Nian J B,Liu H. 2006. Generalized S-transform based compensation for stratigraphic absorption of seismic attenuation[J]. Geophysical Prospecting for Petroleum,45(1):9–14 (in Chinese).
    Pei J Y,He Q D. 1994. Inverse Q filtering according to Kjartansson model[J]. Progress in Geophysics,9(1):90–99 (in Chinese).
    Wang X J,Luan X W. 2017. The study of formation Q value compensation method based on wavelet frequency division technology[J]. Geophysical Prospecting for Petroleum,56(2):203–209 (in Chinese).
    Xiong X J,He Z H,Huang D J,Chen X H. 2006. Application of generalized S transform in seismic high resolution processing[J]. Progress in Exploration Geophysics,29(6):415–418 (in Chinese).
    Yao Z X,Gao X,Li W X. 2003. The forward Q method for compensating attenuation and frequency dispersion used in the seismic profile of depth domain[J]. Chinese Journal of Geophysics,46(2):229–233 (in Chinese).
    Zhang G L,Xiong X J,Rong J J,Zhang Y B,Cai Z D. 2010. Stratum absorption and attenuation compensation based on improved generalized S-transform[J]. Oil Geophysical Prospecting,45(4):512–515 (in Chinese).
    Zhang G L,Lin J,Wang X M,He Z H,Cao J X,Zhang J J,He X L,Lin K,Xue Y J. 2015. A self-adaptive approach for inverse Q-filtering[J]. Chinese Journal of Geophysics,58(7):2525–2535 (in Chinese).
    Zhao Y,Mao N B,Chen X. 2021. Self-adaptive gain-limit inverse Q filtering method based on SNR in time-frequency domain[J]. Lithologic Reservoirs,33(4):85–92 (in Chinese).
    Braga I L S,Moraes F S. 2013. High-resolution gathers by inverse Q filtering in the wavelet domain[J]. Geophysics,78(2):V53–V61. doi: 10.1190/geo2011-0508.1
    Hale D. 1981. An inverse Q-filter[J]. SEP Report,26:231–243.
    Wang Y H. 2002. A stable and efficient approach of inverse Q filtering[J]. Geophysics,67(2):657–663. doi: 10.1190/1.1468627
    Wang Y H. 2006. Inverse Q-filter for seismic resolution enhancement[J]. Geophysics,71(3):V51–V60. doi: 10.1190/1.2192912
    Zhao Y,Mao N B,Xu J. 2019. Generalized stable inverse Q filtering[J]. J Appl Geophys,169:214–225. doi: 10.1016/j.jappgeo.2019.07.007
  • 加载中


    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(7)  / Tables(1)

    Article Metrics

    Article views (183) PDF downloads(87) Cited by()
    Proportional views


    DownLoad:  Full-Size Img  PowerPoint