DOI QR코드

DOI QR Code

Depth Scaling Strategy Using a Flexible Damping Factor forFrequency-Domain Elastic Full Waveform Inversion

  • Oh, Ju-Won (Physical Science and Engineering Division, King Abdullah University of Science and Technology) ;
  • Kim, Shin-Woong (Department of Energy Systems Engineering, Seoul National University) ;
  • Min, Dong-Joo (Department of Energy Systems Engineering, Seoul National University) ;
  • Moon, Seok-Joon (Department of Energy Systems Engineering, Seoul National University) ;
  • Hwang, Jong-Ha (Department of Energy Systems Engineering, Seoul National University)
  • Received : 2016.07.04
  • Accepted : 2016.09.20
  • Published : 2016.09.30

Abstract

We introduce a depth scaling strategy to improve the accuracy of frequency-domain elastic full waveform inversion (FWI) using the new pseudo-Hessian matrix for seismic data without low-frequency components. The depth scaling strategy is based on the fact that the damping factor in the Levenberg-Marquardt method controls the energy concentration in the gradient. In other words, a large damping factor makes the Levenberg-Marquardt method similar to the steepest-descent method, by which shallow structures are mainly recovered. With a small damping factor, the Levenberg-Marquardt method becomes similar to the Gauss-Newton methods by which we can resolve deep structures as well as shallow structures. In our depth scaling strategy, a large damping factor is used in the early stage and then decreases automatically with the trend of error as the iteration goes on. With the depth scaling strategy, we can gradually move the parameter-searching region from shallow to deep parts. This flexible damping factor plays a role in retarding the model parameter update for shallow parts and mainly inverting deeper parts in the later stage of inversion. By doing so, we can improve deep parts in inversion results. The depth scaling strategy is applied to synthetic data without lowfrequency components for a modified version of the SEG/EAGE overthrust model. Numerical examples show that the flexible damping factor yields better results than the constant damping factor when reliable low-frequency components are missing.

Keywords

References

  1. Alkhalifah, T., 2015, Scattering-angle based filtering of the waveform inversion gradients. Geophysical Journal International, 200, 363-373.
  2. Brossier, R., Operto, S., and Virieux, J., 2009, Seismic imaging of complex onshore structures by 2D elastic frequency-domain full-waveform inversion. Geophysics, 74, WCC63-WCC76.
  3. Brossier, R., Operto, S., and Virieux, J., 2010, Which data residual norm for robust elastic frequency-domain full waveform inversion?. Geophysics, 75, R37-R46. https://doi.org/10.1190/1.3379323
  4. Bunks, C., Saleck, F.M., Zaleski, S. and Chavent, G., 1995, Multiscale seismic waveform inversion. Geophysics, 60, 1457-1473. https://doi.org/10.1190/1.1443880
  5. 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. https://doi.org/10.1785/0120070179
  6. Fletcher, R. and Reeves, C.M., 1964, Function minimization by conjugate gradients. Computer Journal, 7, 149-154. https://doi.org/10.1093/comjnl/7.2.149
  7. Ha, T., Chung, W., and Shin, C., 2009, Waveform inversion using a back-propagation algorithm and a Huber function norm. Geophysics, 74, R15-R24. https://doi.org/10.1190/1.3112572
  8. Ha, W., and Shin, C., 2012, Laplace-domain full-waveform inversion of seismic data lacking low-frequency information. Geophysics, 77, R199-R206. https://doi.org/10.1190/geo2011-0411.1
  9. Herrmann, F.J., 2010, Randomized sampling and sparsity: Getting more information from fewer samples. Geophysics, 75, WB173-WB187. https://doi.org/10.1190/1.3506147
  10. Kurzmann, A., 2012, Applications of 2D and 3D full waveform tomography in acoustic and viscoacoustic complex media. PhD thesis, Geophysikalisches Institut, Karlsruhe, Germany, 227 p.
  11. Levenberg, K., 1944, A method for the solution of certain non-linear problems in least squares. Quarterly of Applied Mathematics, 2, 164-168. https://doi.org/10.1090/qam/10666
  12. 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. https://doi.org/10.1111/j.1365-2478.1984.tb00726.x
  13. Marquardt, D.W., 1963, An algorithm for least-squares estimation of nonlinear parameters. Journal of the Society for Industrial and Applied Mathmatics, 11, 431-441. https://doi.org/10.1137/0111030
  14. Mora, P., 1987, Nonlinear two-dimensional elastic inversion of multioffset seismic data. Geophysics, 52, 1211-1228. https://doi.org/10.1190/1.1442384
  15. Oh, J.W., and Min, D.J., 2013, Weighting technique using backpropagated wavefields incited by deconvolved residuals for frequency-domain elastic waveform inversion. Geophysical Journal International, 194, 322-347. https://doi.org/10.1093/gji/ggt107
  16. Pratt, R.G., Shin, C., and Hicks, G.J., 1998, Gauss-Newton and full Newton methods in frequency-space seismic waveform inversion. Geophysical Journal International, 133, 341-362. https://doi.org/10.1046/j.1365-246X.1998.00498.x
  17. Shin, C., Yoon, K., Marfurt, K.J., Park, K., Yang, D., Lim, H.Y., Chung, S., and Shin, S., 2001a, Efficient calculation of a partial-derivative wavefield using reciprocity for seismic imaging and inversion. Geophysics, 66, 1856-1863. https://doi.org/10.1190/1.1487129
  18. Shin, C., Jang S., and Min, D.J., 2001b, Improved amplitude preservation for prestack depth migration by inverse scattering theory. Geophysical Prospecting, 49, 592-606. https://doi.org/10.1046/j.1365-2478.2001.00279.x
  19. Shin, C., and Min, D.J., 2006, Waveform inversion using a logarithmic wavefield. Geophysics, 71, R31-R42. https://doi.org/10.1190/1.2194523
  20. Song, Z.M., Williamson, P.R., and Pratt, R.G., 1995, Frequency-domain acoustic-wave modeling and inversion of crosshole data: Part II-inversion method, synthetic experiments and real-data results. Geophysics, 60, 796-809. https://doi.org/10.1190/1.1443818
  21. Tarantola, A., 1984, Inversion of seismic reflection data in the acoustic approximation. Geophysics, 49, 1259-1266. https://doi.org/10.1190/1.1441754
  22. Virieux, J. and Operto, S., 2009, An overview of fullwaveform inversion in exploration geophysics. Geophysics, 74, WCC1-WCC26. https://doi.org/10.1190/1.3238367
  23. Wang, Y. and Rao, Y., 2009, Reflection seismic waveform tomography. Journal of Geophysical Research, 114, B03304.
  24. Warner, M., and L. Guasch, 2014, Adaptive waveform inversion: FWI without cycle skipping, 76th Conference & Exhibition, EAGE, Extended Abstract.
  25. Zienkiewicz, O.C., and Taylor, R.L., 2000, The finite element method, volume 1: The basis. Butterworth-Heinemann, Oxford, United Kingdom, 667 p.