1887

Abstract

Summary

Surface waves can significantly degrade overall data quality in seismic surveys. In this paper we present a method, which includes inversion and adaptive subtraction filtering of surface waves via a multi-scale technique, in order to attenuate or remove surface waves. The method utilizes a 1D viscoelastic layered model to generate synthetic surface waves through propagator matrix method. The inversion procedure estimates an optimal viscoelastic layered model through global and local optimization methods to minimize the misfit of dispersion spectra obtained from seismic and synthetic shot gathers. Since the 1D model obtained from the optimization methods cannot represent any lateral variations of physical parameters in earth, adaptive subtraction and multi-scale technique are applied to mitigate this limitation. The tests of a 3D field dataset indicate that the optimization methods can estimate an optimal model to generate the synthetic data suitable for adaptive subtraction. The tests also show that the method is robust and efficient for surface-wave attenuation.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201801414
2018-06-11
2024-03-29
Loading full text...

Full text loading...

References

  1. Aki, K. and Richards, P.
    [1980] Quantitative Seismology: Theory and Methods. W. H. Freeman.
    [Google Scholar]
  2. Carry, P. and Zhang, C.
    [2009] Ground roll attenuation with adaptive eigenimage filter. 79th Annual International Meeting, SEG, Expanded Abstracts, 3302–3305.
    [Google Scholar]
  3. Dou, S. and Ajo-Franklin, J.
    [2014] Full-wavefield inversion of surface waves for mapping embedded low-velocity zones in permafrost. Geophysicis, EN107–EN124.
    [Google Scholar]
  4. Douma, H., Jenner, E., Kumar, R. and Al-Kanderi, J.
    [2014] Rayleigh-wave filtering through phase-velocity dispersion inversion and modeling: application to north Kuwait 3D seismic field data. 84th Annual International Meeting, SEG, Expanded Abstracts, 4279–4283.
    [Google Scholar]
  5. Gardner, G., Gardner, L. and Gregory, A.
    [1974] Formation velocity and density - the diagnostic basis for stratigraphic traps. Geophysics, 770–780.
    [Google Scholar]
  6. Groos, L., Schäfer, M., Forbriger, T. and Bohlen, T.
    [2017] Application of a complete workflow for 2D elastic full-waveform inversion to record shallow-seismic Rayleigh waves. Geophysicis, R109–R117.
    [Google Scholar]
  7. Haskell, N.
    [1953] The dispersion of surface waves on multilayered media. Bull. Seismol. Soc. Am., 17–34.
    [Google Scholar]
  8. Luo, Y., Xia, J., Miller, R., Xu, Y., Liu, J. and Liu, Q.
    [2008] Rayleigh-wave dispersive energy imaging using a high-resolution linear Radon transform. Pure and Applied Geophysicis.
    [Google Scholar]
  9. Nelder, J. and Mead, R.
    [1965] A simplex method for function minimization. Computer Journal, 308–313.
    [Google Scholar]
  10. Park, C., Miller, R. and Xia, J.
    [1998] Imaging dispersion curves of surface waves on multi-channel record. 68th Annual International Meeting, SEG, Expanded Abstracts, 1377–1380.
    [Google Scholar]
  11. Thomson, W.
    [1950] Transmission of elastic waves through a stratified solid medium. J. Appl. Phys., 89–93.
    [Google Scholar]
  12. Whitley, D.
    [1994] A genetic algorithm tutorial. Statistics and Computing, 65–85.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201801414
Loading
/content/papers/10.3997/2214-4609.201801414
Loading

Data & Media loading...

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