1887
Volume 52, Issue 2
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

It is a convenient and effective way to infer near-surface S-wave velocity () structures by using seismic surface waves. In spite of many successful applications on the geotechnical or engineering scale, surface-wave analysis and inversion methods are still not widely used in oil seismic exploration. Particularly, there are few researches reported on the three-dimensional (3D) structure modelling with the surface wave methods on this exploration scale. In this paper, we proposed a seismic surface wave data processing and inversion scheme for 3D near-surface modelling, and applied it to a field seismic data acquired for oil prospecting in Eastern China. Firstly, we analysed and adjusted the acquisition geometry to suit surface-wave analysis. Next, the interpolation and stacking processing was applied to the seismic data to eliminate spatial aliasing and improve the quality of dispersion images. In term of phase velocity dispersion imaging method, we adopted the cross-correlation and phase-shifting (CCPS) method to acquire accurate dispersion images. Simultaneous linearisation inversion of and layer thickness was used to inverse the surface wave dispersion curves. This inversion method reduces dependence of the initial models and has ability to detect the top interface of high-velocity layer. At last, the 3D near-surface structure was constructed by interpolating the all of 360 1D structures. We contrasted the surface wave inversion result with the first-arrival tomography inversion result, and the geological stratification results of both were coincident. Within the near-surface range, the surface wave inversion result has a higher resolution. This confirms that 3D modelling with surface waves in oil seismic prospecting is effective and practical.

Loading

Article metrics loading...

/content/journals/10.1080/08123985.2020.1776605
2021-03-04
2026-01-19
Loading full text...

Full text loading...

References

  1. Bagaini, C.2008. Low-frequency vibroseis data with maximum displacement sweeps. The Leading Edge27: 582–91. doi: 10.1190/1.2919575
    https://doi.org/10.1190/1.2919575 [Google Scholar]
  2. Berron, C., and T.Bardainne. 2018. Towards super-resolution surface wave tomography using interferometry. 80th EAGE Conference & Exhibition, June 11–14, Copenhagen, Denmark.
  3. Boiero, D., P.Bergamo, R.B.Rege, and L.V.Socco. 2011. Estimating surface-wave dispersion curves from 3D seismic acquisition schemes: Part 1-1D models. Geophysics76: G85–93. doi: 10.1190/geo2011‑0124.1
    https://doi.org/10.1190/geo2011-0124.1 [Google Scholar]
  4. Boiero, D., E.Wiarda, and P.Vermeer. 2013. Surface- and guided-wave inversion for near-surface modeling in land and shallow marine seismic data. The Leading Edge32: 638–46. doi: 10.1190/tle32060638.1
    https://doi.org/10.1190/tle32060638.1 [Google Scholar]
  5. Brodic, B., A.Malehmir, A.Pugin, and G.Maries. 2018. Three-component seismic land streamer study of an esker architecture through S- and surface-wave imaging. Geophysics83: B339–53. doi: 10.1190/geo2017‑0747.1
    https://doi.org/10.1190/geo2017-0747.1 [Google Scholar]
  6. Cercato, M.2007. Computation of partial derivatives of Rayleigh-wave phase velocity using second-order subdeterminants. Geophysical Journal International170: 217–38. doi: 10.1111/j.1365‑246X.2007.03383.x
    https://doi.org/10.1111/j.1365-246X.2007.03383.x [Google Scholar]
  7. Dal Moro, G.2014. Surface wave analysis for near surface applications. Amsterdam: Elsevier.
  8. Dorman, J.1962. Numerical inversion of seismic surface wave dispersion data and crust-mantle structure in the New York-Pennsylvania area. Journal of Geophysical Research67: 5227–41. doi: 10.1029/JZ067i013p05227
    https://doi.org/10.1029/JZ067i013p05227 [Google Scholar]
  9. Ernst, F.2007. Long-wavelength statics estimation from guided waves. 69th EAGE Conference & Exhibition, June 11–14, London, UK.
  10. Foti, S., F.Hollender, F.Garofalo, D.Albarello, M.Asten, P.Y.Bard, C.Comina, et al.2018. Guidelines for the good practice of surface wave analysis: A product of the Inter PACIFIC project. Bulletin of Earthquake Engineering16: 2367–420. doi: 10.1007/s10518‑017‑0206‑7
    https://doi.org/10.1007/s10518-017-0206-7 [Google Scholar]
  11. Foti, S., S.Parolai, D.Albarello, and M.Picozzi. 2011. Application of surface-wave methods for seismic site characterization. Surveys in Geophysics32: 777–825. doi: 10.1007/s10712‑011‑9134‑2
    https://doi.org/10.1007/s10712-011-9134-2 [Google Scholar]
  12. Gao, L., and Y.Pan. 2016. Acquisition and processing pitfall with clipped traces in surface-wave analysis. Journal of Applied Geophysics125: 1–6. doi: 10.1016/j.jappgeo.2015.12.004
    https://doi.org/10.1016/j.jappgeo.2015.12.004 [Google Scholar]
  13. Ghanem, K.G., S.M.Sharafeldin, A.A.Saleh, and W.M.Mabrouk. 2017. A comparative study of near-surface velocity model building derived by 3D traveltime tomography and dispersion curves inversion techniques. Journal of Petroleum Science and Engineering154: 126–38. doi: 10.1016/j.petrol.2017.04.023
    https://doi.org/10.1016/j.petrol.2017.04.023 [Google Scholar]
  14. Ikeda, T., and T.Tsuji. 2015. Advanced surface-wave analysis for 3D ocean bottom cable data to detect localized heterogeneity in shallow geological formation of a CO2 storage site. International Journal of Greenhouse Gas Control39: 107–18. doi: 10.1016/j.ijggc.2015.04.020
    https://doi.org/10.1016/j.ijggc.2015.04.020 [Google Scholar]
  15. Kennett, B.L.N., and K.Yoshizawa. 2002. A reappraisal of regional surface wave tomography. Geophysical Journal International150: 37–44. doi: 10.1046/j.1365‑246X.2002.01682.x
    https://doi.org/10.1046/j.1365-246X.2002.01682.x [Google Scholar]
  16. Knopoff, L., S.Mueller, and W.L.Pilant. 1966. Structure of the crust and upper mantle in the Alps from the phase velocity of Rayleigh waves. Bulletin of the Seismological Society of America56: 1009–44.
    [Google Scholar]
  17. Li, L.Y., H.X.Liang, N.Qin, H.C.Yang, and J.Z.Zhang. 2019. A technique for building sub-seabed velocity model in shallow sea areas and its application to seismic statics. Geophysical and Geochemical Exploration43: 373–9. (In Chinese).
    [Google Scholar]
  18. Miller, R.D., T.S.Anderson, J.Ivanov, J.C.Davis, R.Olea, C.Park, D.W.Steeples, M.L.Moran, and J.Xia. 2003. 3-D characterization of seismic properties at the smart weapons test range, YPG. SEG Technical Program Expanded Abstracts 2003: 1195–1198.
  19. Miller, R.D., J.H.Xia, C.B.Pack, and J.Ivanov. 1999. Multichannel analysis of surface waves to map bedrock. The Leading Edge18: 1392–6. doi: 10.1190/1.1438226
    https://doi.org/10.1190/1.1438226 [Google Scholar]
  20. Neducza, B.2007. Stacking of surface waves. Geophysics72: V51–8. doi: 10.1190/1.2431635
    https://doi.org/10.1190/1.2431635 [Google Scholar]
  21. Park, C.B., R.D.Miller, and J.Xia. 1998. Imaging dispersion curves of surface waves on multi-channel record. SEG Technical Program Expanded Abstracts 1998: 1377–1380.
  22. Park, C.B., R.D.Miller, and J.Xia. 1999. Multichannel analysis of surface waves. Geophysics64: 800–8. doi: 10.1190/1.1444590
    https://doi.org/10.1190/1.1444590 [Google Scholar]
  23. Piatti, C., S.Foti, L.V.Socco, and D.Boiero. 2013. Building 3D shear-wave velocity models using surface waves testing: the Tarcento basin case history. Bulletin of the Seismological Society of America103: 1038–47. doi: 10.1785/0120120089
    https://doi.org/10.1785/0120120089 [Google Scholar]
  24. Socco, L.V., D.Boiero, S.Foti, and R.Wisén. 2009. Laterally constrained inversion of ground roll from seismic reflection records. Geophysics74: G35–45. doi: 10.1190/1.3223636
    https://doi.org/10.1190/1.3223636 [Google Scholar]
  25. Socco, L.V., and C.Strobbia. 2004. Surface-wave method for near-surface characterization: A tutorial. Near Surface Geophysics2: 165–85. doi: 10.3997/1873‑0604.2004015
    https://doi.org/10.3997/1873-0604.2004015 [Google Scholar]
  26. Strobbia, C., P.Vermeer, A.Laake, A.Glushchenko, and S.Re. 2010. Surface waves: processing, inversion and removal. First Break28: 85–91.
    [Google Scholar]
  27. Tokimatsu, K.1995. Geotechnical site characterization using surface waves. Earthquake Geotechnical Engineering3: 1333–68.
    [Google Scholar]
  28. Wang, Y., X.Y.Shang, and K.Peng. 2020. Relocating mining microseismic earthquakes in a 3-D velocity model using a windowed cross-correlation technique. IEEE Access8: 37866–78. doi: 10.1109/ACCESS.2020.2974762
    https://doi.org/10.1109/ACCESS.2020.2974762 [Google Scholar]
  29. Wang, Z., and Y.Li. 1994. Trace interpolation using wavelet transform. SEG Technical Program Expanded Abstracts 1994: 726–730.
  30. Wang, Z.N., C.Y.Sun, and D.S.Wu. 2019. Seismic surface wave interpolation method based on optimistic wavelet basis. Geophysical & Geochemical Exploration43: 189–98. (In Chinese).
    [Google Scholar]
  31. Watson, T.H.1970. A note on fast computation of Rayleigh wave dispersion in the multilayered elastic half-space. Bulletin of the Seismological Society of America60: 161–6.
    [Google Scholar]
  32. Wielandt, E.1993. Propagation and structural interpretation of non-plane waves. Geophysical Journal International113: 45–53. doi: 10.1111/j.1365‑246X.1993.tb02527.x
    https://doi.org/10.1111/j.1365-246X.1993.tb02527.x [Google Scholar]
  33. Wu, D.S., C.Y.Sun, and M.Y.Lin. 2017. Active seismic surface wave dispersion imaging method based on cross-correlation and phase-shifting. Progress in Geophysics32: 1693–700. (In Chinese).
    [Google Scholar]
  34. Wu, D.S., X.W.Wang, Q.Su, Z.D.Hu, and J.F.Xie. 2019. Simultaneous inversion of shear wave velocity and layer thickness by surface-wave dispersion curves. 81st EAGE Conference & Exhibition.
  35. Xia, J., R.D.Miller, and C.B.Park. 1999. Estimation of near-surface shear-wave velocity by inversion of Rayleigh waves. Geophysics64: 691–700. doi: 10.1190/1.1444578
    https://doi.org/10.1190/1.1444578 [Google Scholar]
  36. Yin, X., J.Xia, C.Shen, and H.Xu. 2014. Comparative analysis on penetrating depth of high-frequency Rayleigh and Love waves. Journal of Applied Geophysics111: 86–94. doi: 10.1016/j.jappgeo.2014.09.022
    https://doi.org/10.1016/j.jappgeo.2014.09.022 [Google Scholar]
/content/journals/10.1080/08123985.2020.1776605
Loading
/content/journals/10.1080/08123985.2020.1776605
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): 3D modelling; inversion; near surface; Seismic exploration; surface wave

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error