1887

Abstract

Summary

The full waveform inversion (FWI) of strongly dispersive Love wave data is a challenging task. Amplitude, phase and dispersion information not only depends on the density and shear modulus distribution in the subsurface, but also significantly on intrinsic damping. This is especially a problem in near surface data applications with complex underground structures and low Qs values. Therefore, the FWI of a dispersive Love wavefield demands an accurate initial visco-elastic model and careful data pre-processing. Another key ingredient of a successful time-domain FWI is the sequential inversion of frequency filtered data in order to mitigate the non-linearity of the inverse problem. Common FWI strategies are based solely on either low- or bandpass filtered data. In this study we introduce a workflow consisting of a combined low- and bandpass filter strategy to achieve an appropriate data fit of the low-frequency Love wave and high-frequency refracted SH-wavefield. The applicability of this FWI strategy and the importance of a visco-elastic medium description is demonstrated for SH field data from the transect over a medieval 2D canal structure in southern Germany. The resolved canal shape and small scale structures in the inversion results are verified by an archaeological excavation.

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/content/papers/10.3997/2214-4609.201801374
2018-06-11
2024-03-29
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References

  1. Bretaudeau, F., Brossier, R., Leparoux, D., Operto, S., Abraham, O. and Virieux, J.
    [2013] 2D elastic full waveform imaging of the near surface : Application to a physical scale model. Near Surface Geophysics, 11(3), 307–316.
    [Google Scholar]
  2. Carcione, J., Kosloff, D. and Kosloff, R.
    [1988] Wave propagation simulation in a viscoelastic medium. Geophys. J. R. astr. Soc., 93, 597–611.
    [Google Scholar]
  3. Choi, Y. and Alkhalifah, T.
    [2012] Application of multi-source waveform inversion to marine streamer data using the global correlation norm. Geophysical Prospecting, 60, 748–758.
    [Google Scholar]
  4. Dokter, E., Köhn, D., Wilken, D., De Nil, D. and Rabbel, W.
    [2017] Full-waveform inversion of SH-and Love-wave data in near-surface prospecting. Geophysical Prospecting, 65(S1), 216–236.
    [Google Scholar]
  5. Fabien-Ouellet, G., Gloaguen, E. and Giroux, B.
    [2017] Time domain viscoelastic full waveform inversion. Geophysical Journal International, 209(3), 1718.
    [Google Scholar]
  6. Köhn, D., Meier, T., Fehr, M., De Nil, D. and Auras, M.
    [2016] Application of 2D elastic Rayleigh waveform inversion to ultrasonic laboratory and field data. Near Surface Geophysics, 14(5), 461–476.
    [Google Scholar]
  7. Nocedal, J. and Wright, S.
    [2006] Numerical Optimization. Springer, New York.
    [Google Scholar]
  8. Robertsson, J., Blanch, J. and Symes, W.
    [1994] Viscoelastic finite-difference modeling. Geophysics, 59(9), 1444–1456.
    [Google Scholar]
  9. Tran, K., McVay, M., Faraone, M. and Horhota, D.
    [2013] Sinkhole detection using 2D full seismic waveform tomography. Geophysics, 78(5), R175–R183.
    [Google Scholar]
  10. Tran, K.T. and Luke, B.
    [2017] Full waveform tomography to resolve desert alluvium. Soil Dynamics and Earthquake Engineering, 99, 1–8.
    [Google Scholar]
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