1887
Volume 54, Issue 3
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

We have presented an inverse filtering scheme that can compensate absorption and dispersion caused by intrinsic attenuation in subsurface media with a heterogeneous model. We have adopted two methods to suppress high-frequency noise at the same time, one is to design a compensation operator with a fixed gain limit, and the other is to introduce an adaptive frequency-varying band calculation method. We use VSP data and seismic velocity data to estimate model of the whole work area in a unique way. The proposed scheme can be incorporated into conventional seismic data processing workflow. Tests on synthetic and real data set demonstrate effectiveness of the proposed inverse filtering.

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2023-05-04
2026-01-13
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References

  1. Aki, K., and P.G.Richards. 1980. Quantitative seismology. San Francisco, CA W. H. Freeman & Co.
  2. Bickel, S.H., and R.R.Natarajan. 1985. Plane-wave Q Deconvolution: Geophysics50: 1426–1439.
  3. Brzostowski, M., and G.McMechan. 1992. 3-D tomographic imaging of near-surface seismic velocity and attenuation. Geophysics57 no. 3: 396–403.
    [Google Scholar]
  4. Cavalca, M., I.Moore, L.Zhang, S.L.Ng, R.Fletcher, and M.Bayly. 2011. Ray-based tomography for Q estimation and Q compensation in complex media: 81st annual international meeting, SEG. Expanded Abstracts30 no. 1: 3989–3992. doi:10.1190/1.3628039.
    https://doi.org/10.1190/1.3628039 [Google Scholar]
  5. Chen, Z., X.Chen, Y.Wang, et al.2014. Estimation of Q factors from reflection seismic data for a band-limited and stabilized inverse Q filter driven by an average-Q model. Journal of Applied Geophysics101: 86–94.
    [Google Scholar]
  6. Dai, Y.U., H.E.Zhi-Jun, Y.Sun, et al.2018. A comparison of the inverse Q filtering methods based on wavefield continuation[J]. Geophysical and Geochemical Exploration42 no. 2: 331–338.
    [Google Scholar]
  7. Dasgupta, R., and R.A.Clark. 1998. Estimation of Q from surface seismic reflection data. Geophysics63 no. 6: 2120–2128.
    [Google Scholar]
  8. Dutta, G., and G.Schuster. 2016. Wave-equation Q tomography. Geophysics81 no. 6: R471–R484.
    [Google Scholar]
  9. Ferber, R.2005. A filter bank solution to absorption simulation and compensation: 75th annual international meeting, SEG. Expanded Abstracts24 no. 1: 2170–2172.
    [Google Scholar]
  10. Guo, P., G.A.McMechan, and H.Guan. 2016. Comparison of two viscoacoustic propagators for Q-compensated reverse time migration. Geophysics: Journal of the Society of Exploration Geophysicists81 no. 5: 281–297.
    [Google Scholar]
  11. Hale, D.1982. An inverse Q-filter. Stanford Exploration Project Report26: 231–243.
    [Google Scholar]
  12. Hargreaves, N.D., and A.J.Calvert. 1991. Inverse Q filtering by Fourier transform. Geophysics56: 519–527.
    [Google Scholar]
  13. Kamei, R., and R.G.Pratt. 2008. Waveform tomography strategies for imaging attenuation structure with cross-hole data. Proc. 70th EAGE conf. exhib. incorporating SPE EUROPEC.
    [Google Scholar]
  14. Liu, C., H.Feng, and J.Zhang. 2013. Stable iterative method of inverse Q filter. Petrol. Geophys. Prosp48: 890–895.
    [Google Scholar]
  15. Mittet, R., R.Sollie, and K.Hokstak. 1995. Prestack Depth Migration with Compensation for Absorption and Dispersion: Geophysics60: 1485–1494.
  16. Neep, J., M.Worthington, and K.O’Hara-Dhand. 1996. Measurement of seismic attenuation from high-resolution crosshole data. Geophysics61 no. 4: 1175–1188.
    [Google Scholar]
  17. Quan, Y., and J.M.Harris. 1997. Seismic Attenuation Tomography Using the Frequency Shift Method: Geophysics62: 895–905.
  18. Sangwan, P., and D.Kumar. 2021. A robust approach to estimate Q from surface seismic data and inverse Q filtering for resolution enhancement. First Break39 no. 2: 35–43.
    [Google Scholar]
  19. Shen, Y., B.Biondi, and R.Clapp. 2018. Q-model building using one-way wave-equation migration Q analysis—part 1: theory and synthetic test. Geophysics83 no. 2: 1–64.
    [Google Scholar]
  20. Shen, Y., and T.Zhu. 2015. Image-based Q tomography using reverse time Q migration. Proc. 85th Annu. Int. Meeting, SEG, Expanded Abstr 85: 3694–3698.
    [Google Scholar]
  21. Shi, Y., H.-L.Zhou, C.Niu, C.-C.Liu, and L.-J.Meng. 2019. A variable gain-limited inverse Q filtering method to enhance the resolution of seismic data. Journal of Seismic Exploration28 no. 3: 257–276.
    [Google Scholar]
  22. Tian, S.1990. Estimating the Q value in inverse Q filtering with lee's empirical formula. Petroleum Geophysical Prospecting3: 354–361.
    [Google Scholar]
  23. Tonn, R.1991. The Determination of the Seismic Quality Factor Q from VSP Data: A Comparison of Different Computational Methods: Geophysical Prospecting39: 1–27.
  24. Wang, Y.2002. A stable and efficient approach of inverse Q filtering. Geophysics67: 657–663.
    [Google Scholar]
  25. Wang, Y., H.Zhou, H.Chen, and Y.Chen. 2018. Adaptive stabilization for Q-compensated reverse time migration. Geophysics Journal of the Society of Exploration Geophysicists83 no. 1: 15–32.
    [Google Scholar]
  26. Xie, Y., and K.Xin. 2009. 3D prestack depth migration with compensation for frequency dependent absorption and dispersion. SEG Technical Program Expanded Abstracts82: 2919–2923.
    [Google Scholar]
  27. Yao, Z.X., X.Gao, and W.X.Li. 2003. The forward Q method for compensating attenuation and frequency dispersion used in the seismic profile of depth domain. Journal of Geophysics46: 229–230.
    [Google Scholar]
  28. Zhang, H., J.Han, Z.Li, and H.Zhang. 2021. Extracting Q anomalies from marine reflection seismic data using deep learning. IEEE Geoscience and Remote Sensing Letters19: 1–5.
    [Google Scholar]
  29. Zhang, G., Z.He, and X.Wang. 2015. A self-adaptive approach for inverse Q-filtering. Chin. J. Geophys. (in Chinese)57: 1655–1663. Doi:10.6038/cjg20140528.
    https://doi.org/10.6038/cjg20140528 [Google Scholar]
  30. Zhang, G., X.Wang, Z.He, G.Yu, Y.Li, and W.Liu. 2014. Impact of Q value and gain-limit to the resolution of inverse Q filtering. Journal of Geophysics and Engineering4: 450–457.
    [Google Scholar]
  31. Zhang, J., and K.Wapenaar. 2002. Wavefield Extrapolation and Prestack Depth Migration in Anelastic Inhomogeneous Media: Geophysical Prospecting50: 629–643.
  32. Zhang, J., J.Wu, and X.Li. 2013. Compensation for absorption and dispersion in prestack migration:An effective approach. Geophysics78 no. 1: 1–14.
    [Google Scholar]
  33. Zhou, H., C.Wang, K.J.Marfurt, Y.W.Jian, and J.Bi. 2016. Enhancing the resolution of non-stationary seismic data using improved time-frequency spectral modelling. Geophysical Journal International205 no. 5: 203–219.
    [Google Scholar]
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  • Article Type: Research Article
Keyword(s): attenuation; high-resolution; image processing; Q;poststack

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