1887

Abstract

Summary

Conventional FWI cannot successfully invert pure reflection data to recover the long-wavelength velocity model. We present an FWI methodology that can solve this problem, and demonstrate its success inverting data from a simple but difficult-to-invert synthetic model. The method proceeds by modifying the FWI objective function, and by interleaving a migration-like form of FWI with a tomography-like form. Starting from a constant-velocity, this FWI approach produces a full-bandwidth velocity model that accurately depth migrates the reflection data.

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/content/papers/10.3997/2214-4609.201413208
2015-06-01
2024-03-29
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References

  1. Warner, M., and L.Guasch
    , 2014, Adaptive Waveform Inversion – FWI without cycle skipping: 76th EAGE Conference & Exhibition, Extended Abstracts, Amsterdam.
    [Google Scholar]
  2. Yao, G., and H.Jakubowicz
    , 2012, Non-Linear Least-Squares Reverse-Time Migration: 82nd Annual International Meeting, SEG, Expanded Abstracts, Las Vegas.
    [Google Scholar]
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