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Elastic Full Waveform Inversion (FWI) of reflection data with a phase misfit function
dc.contributor.author | Kormann, Jean |
dc.contributor.author | Rodríguez, Juan E. |
dc.contributor.author | Ferrer, Miguel |
dc.contributor.author | Gutiérrez, Natalia |
dc.contributor.author | de la Puente, Josep |
dc.contributor.author | Hanzich, Mauricio |
dc.contributor.author | Cela, José M. |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2016-04-19T12:43:25Z |
dc.date.available | 2017-04-08T00:30:44Z |
dc.date.issued | 2016-04-08 |
dc.identifier.citation | Kormann, Jean [et al.]. Elastic FWI of reflection data with a phase misfit function. A: 6th International Conference, ISUM 2015, Mexico City, Mexico, March 9-13, 2015. "High Performance Computer Applications". Springer International Publishing, 2016, p. 277-284. |
dc.identifier.isbn | 978-3-319-32242-1 |
dc.identifier.issn | 1865-0929 |
dc.identifier.uri | http://hdl.handle.net/2117/85902 |
dc.description.abstract | 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. |
dc.description.sponsorship | 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. |
dc.format.extent | 8 p. |
dc.language.iso | eng |
dc.publisher | Springer International Publishing |
dc.relation.ispartofseries | Communications in Computer and Information Science, 595 |
dc.subject | Àrees temàtiques de la UPC::Enginyeria electrònica |
dc.subject.lcsh | Elastic waves |
dc.subject.lcsh | High performance computing |
dc.subject.other | Full waveform inversion |
dc.subject.other | Elastic waves |
dc.subject.other | High-performance computing |
dc.title | Elastic Full Waveform Inversion (FWI) of reflection data with a phase misfit function |
dc.type | Part of book or chapter of book |
dc.subject.lemac | Supercomputadors |
dc.subject.lemac | Tsunamis |
dc.identifier.doi | 10.1007/978-3-319-32243-8_19 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://link.springer.com/chapter/10.1007/978-3-319-32243-8_19 |
dc.rights.access | Open Access |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/644202/EU/Geophysical Exploration using Advanced GAlerkin Methods/GEAGAM |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/689772/EU/HPC for Energy/HPC4E |
local.citation.contributor | 6th International Conference, ISUM 2015, Mexico City, Mexico, March 9-13, 2015 |
local.citation.publicationName | High Performance Computer Applications |
local.citation.volume | 595 |
local.citation.startingPage | 277 |
local.citation.endingPage | 284 |