1887
ASEG2013 - 23rd Geophysical Conference
  • ISSN: 2202-0586
  • E-ISSN:

Abstract

One of the limitations in seismic waveform inversion is noise, which plays a role in impeding that the FWI converges on the global minimum solution. We first analyse noise behaviours in the inverse problem and limitations of the conventional FWI strategy for noisy data. For a more robust inversion algorithm, we propose applying a frequency-depth scaling strategy. The frequency-depth scaling strategy is designed using the denoise function for both the spectral scaling and the flexible damping factor of the Levenberg-Marquardt method for the depth scaling so that the influence of strategy that combines the spectral scaling strategy using the denoise function suggested by Oh and Min (2012) and the depth scaling strategy using the constraint of the Levenberg- Marquardt method (Lines and Treitel, 1984).

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/content/journals/10.1071/ASEG2013ab372
2013-12-01
2026-01-13
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References

  1. Brossier, R., Operto, S. and Virieux, J., 2010, Which data residual norm for robust elastic frequency-domain full waveform inversion?. Geophysics, 75, R37-R46.
  2. Choi, Y., Min, D.J. and Shin, C., 2008, Frequency-domain elastic full waveform inversion using the new pseudo-Hessian matrix: Experience of elastic Marmousi-2 synthetic data. Bulletin of the Seismological Society of America, 98, 2402-2415.
  3. Ha, T., Chung, W. and Shin, C., 2009, Waveform inversion using a back-propagation algorithm and a Huber function norm. Geophysics, 74, R15-R24.
  4. Lines, L.R. and Treitel, S., 1984, Tutorial: A review of least- squares inversion and its application to geophysical problems. Geophysical Prospecting, 32, 159-186.
  5. Oh, J.W. and Min, D.J., 2012, Frequency-domain elastic full waveform inversion using a denoise function. Expanded Abstracts of the 82nd Annual International Meeting, SEG, Las Vegas, 1-5.
  6. Wang, Y. and Rao, Y., 2009, Reflection seismic waveform tomography. Journal of Geophysical Research, 114, B03304.
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  • Article Type: Research Article
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