Title:
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Elastic Full Waveform Inversion (FWI) of reflection data with a phase misfit function
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Author:
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Kormann, Jean; Rodríguez, Juan E.; Ferrer, Miguel; Gutiérrez, Natalia; de la Puente, Josep; Hanzich, Mauricio; Cela, José M.
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Other authors:
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Barcelona Supercomputing Center |
Abstract:
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Full Waveform Inversion of elastic dataset is challenging due to the complexity introduced by free-surface effects or P-S wave conversions among others. In this context, large offsets are preferred for inversion because they favor transmission modes which are more linearly related to P-wave velocity. In this paper, we present an original approach
which allows to dynamically select the near offset at each frequency. We illustrate this approach with the inversion of a dataset without density.
In order to deal with a more realistic scenario, we next present the inversion with density effects included into the modeling. As inverting density is known to be a hard task, we choose to not invert it. This approach leads to the use of a phase misfit function, which is more connected to the kinematics of the problem than the classic L2 norm. |
Abstract:
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The authors want to thank Repsol for the permission to publish the present research, carried out at the Repsol-BSC Research Center.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No 644202. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria electrònica -Elastic waves -High performance computing -Full waveform inversion -Elastic waves -High-performance computing -Supercomputadors -Tsunamis |
Rights:
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Document type:
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Article - Submitted version Book Part |
Published by:
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Springer International Publishing
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