Improving Seismic Image With High Resolution Velocity Model From AWI Starting With 1D Initial Model - Case Study Barents Sea

Roth, T.; Nangoo, Tenice; Shah, Nikhil; Riede, M.; Henke, Christian H.; Warner, Mike

doi:10.3997/2214-4609.201800008

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Facing challenging field data applications with alternative misfit functions is not widely documented in the literature. One of the only other alternative misfit functions that has been applied successfully to field data is adaptive waveform inversion (AWI) (Warner and Guasch, 2015;Ravaut et al, 2017;Debens et al, 2017;Roth et al, 2018;Guasch et al, 2019;Warner et al, 2019) or Kantorovich-Rubinstein optimal transport (KROT) (Poncet et al, 2018;Messud and Sedova, 2019;Sedova et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Robust full-waveform inversion with graph-space optimal transport: Application to 3D ocean-bottom cable Valhall data

et al. 2022

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Improving full-waveform inversion to make it more robust to cycle-skipping has been the subject of a large number of studies. From the several families of approaches developed, one of the most documented consists in modifying the least-squares distance defining the discrepancy between observed and calculated data. From all the propositions made to improve and replace the least-squares distance, only a few of them have been applied to field data. One of the methods proposed recently, the graph space optimal transport distance, presents appealing properties for field data applications. This study compares it with the least-squares distance in an analysis performed on the three-dimensional ocean bottom cable data from the Valhall field. This data has already been at the heart of several full-waveform inversion studies, making it a good candidate to evaluate the properties of this new misfit function. We first perform this comparison starting the inversion from the reflection traveltime tomography model used in previous studies. We then perform a second comparison from a crude, linearly varying in-depth one-dimensional velocity model. Starting from this model, least-squares-based full-waveform inversion fails to provide a meaningful estimate of the pressure-wave velocity model due to cycle skipping. We illustrate how the graph-space optimal transport-based full-waveform inversion mitigates this issue. A meaningful estimate of the pressure-wave velocity model is obtained in the zone sampled by both diving and reflected waves, down to almost two kilometers depth. To our knowledge, this is the first application of a graph space optimal transport-based full-waveform inversion to three-dimensional field data.

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Section: Discussionmentioning

confidence: 99%

Robust full-waveform inversion with graph-space optimal transport: Application to 3D ocean-bottom cable Valhall data

et al. 2022

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On cycle-skipping and misfit function modification for full-wave inversion: Comparison of five recent approaches

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Brossier

et al. 2021

GEOPHYSICS

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Full waveform inversion, a high-resolution seismic imaging method, is known to require sufficiently accurate initial models to converge toward meaningful estimations of the subsurface mechanical properties. This limitation is due to the non-convexity of the least-squares distance with respect to kinematic mismatch. We propose a comparison of five misfit functions promoted recently to mitigate this issue: adaptive waveform inversion, instantaneous envelope, normalized integration, and two methods based on optimal transport. We explain which principles these methods are based on and illustrate how they are designed to better handle kinematic mismatch than a least-squares misfit function. By doing so, we can exhibit specific limitations of these methods in canonical cases. We further assess the interest of these five approaches for application to field data based on a synthetic Marmousi case study. We illustrate how adaptive waveform inversion and the two methods based on optimal transport possess interesting properties, making them appealing strategies applicable to field data. Another outcome is the definition of generic tools to compare misfit functions for full-waveform inversion.

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Improving Seismic Image With High Resolution Velocity Model From AWI Starting With 1D Initial Model - Case Study Barents Sea

Cited by 2 publications

References 5 publications

Robust full-waveform inversion with graph-space optimal transport: Application to 3D ocean-bottom cable Valhall data

Robust full-waveform inversion with graph-space optimal transport: Application to 3D ocean-bottom cable Valhall data

On cycle-skipping and misfit function modification for full-wave inversion: Comparison of five recent approaches

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