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Abstract

Summary

Constrained Full-Waveform Inversion (FWI) is applied to produce a high-resolution velocity model from both Vertical Seismic Profiling (VSP) and surface seismic data. The case study comes from the Permian Basin in Texas, USA. This dataset motivates and tests several new developments in methodology that enable recovery of model results that sit within multiple a priori constraint sets. These constraints are imposed through a Projected Quasi-Newton (PQN) approach, wherein the projection set is the intersection of physical property bounds and anisotropic wavenumber filtering. This enables the method to recover geologically-reasonable models while preserving the fast model convergence offered by a quasi-Newton optimization scheme like 1-BFGS. In the Permian Basin example, low-frequency data from both arrays are inverted together and regularized by this projection approach. Careful choice of the constraint sets is possible without requiring tradeoff parameters as in a quadratic penalty approach to regularization. Multiple 2D FWI results are combined to produce an interpolated 3D model that is consistent with the models from migration velocity analysis and VSP processing, while offering improved resolution and illumination of features from both datasets.

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/content/papers/10.3997/2214-4609.201412906
2015-06-01
2024-04-20
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References

  1. Brenders, A. and Pratt, R.G.
    [2007] Full waveform tomography for lithospheric imaging: Results from a blind test in a realistic crustal model. Geophysical Journal International, 168, 133–151.
    [Google Scholar]
  2. Herrmann, F.J., Hanlon, I., Kumar, R., van Leeuwen, T., Li, X., Smithyman, B., Wason, H., Calvert, A.J., Javanmehri, M., Takougang, E.T.
    [2013] Frugal full-waveform inversion: From theory to a practical algorithm. The Leading Edge, 32 (9), 1082–1092.
    [Google Scholar]
  3. Pratt, R.G.
    [1999] Seismic waveform inversion in the frequency domain, Part 1: Theory and verification in a physical scale model. Geophysics, 64 (3), 888–901.
    [Google Scholar]
  4. Schmidt, M., van den Berg, E., Friedlander, M. and Murphy, K.
    [2009] Optimizing costly functions with simple constraints: A limited-memory projected quasi-newton algorithm. JMLR, 5, 456–463.
    [Google Scholar]
  5. Shah, N., Warner, M., Guasch, L., Stekl, I. and Umpleby, A.
    [2010] A strategy for waveform inversion without an accurate starting model. 72nd EAGE Conference Barcelona.
    [Google Scholar]
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