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dc.contributor.authorCastillo Reyes, Octavio
dc.contributor.authorde la Puente Álvarez, Josep
dc.contributor.authorCela Espín, José M.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2020-05-28T10:09:00Z
dc.date.available2020-07-21T00:28:18Z
dc.date.issued2018-10
dc.identifier.citationCastillo, O.; de la Puente, J.; Cela, J. PETGEM: A parallel code for 3D CSEM forward modeling using edge finite elements. "Computers and geosciences", Octubre 2018, vol. 119, p. 123-136.
dc.identifier.issn0098-3004
dc.identifier.otherhttps://arxiv.org/abs/1808.00186
dc.identifier.urihttp://hdl.handle.net/2117/189344
dc.description.abstractWe present the capabilities and results of the Parallel Edge-based Tool for Geophysical Electromagnetic modeling (PETGEM), as well as the physical and numerical foundations upon which it has been developed. PETGEM is an open-source and distributed parallel Python code for fast and highly accurate modeling of 3D marine controlled-source electromagnetic (3D CSEM) problems. We employ the Nédélec Edge Finite Element Method (EFEM) which offers a good trade-off between accuracy and number of degrees of freedom, while naturally supporting unstructured tetrahedral meshes. We have particularised this new modeling tool to the 3D CSEM problem for infinitesimal point dipoles asumming arbitrarily isotropic media for low-frequencies approximations. In order to avoid source-singularities, PETGEM solves the frequency-domain Maxwell's equations of the secondary electric field, and the primary electric field is calculated analytically for homogeneous background media. We assess the PETGEM accuracy using classical tests with known analytical solutions as well as recent published data of real life geological scenarios. This assessment proves that this new modeling tool reproduces expected accurate solutions in the former tests, and its flexibility on realistic 3D electromagnetic problems. Furthermore, an automatic mesh adaptation strategy for a given frequency and specific source position is presented. We also include a scalability study based on fundamental metrics for high-performance computing (HPC) architectures.
dc.description.sponsorshipThis project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 644202. In addition, the research leading to these results has received funding from the European Union's Horizon 2020 Programme (2014–2020) and from Brazilian Ministry of Science, Technology and Innovation through Rede Nacional de Pesquisa (RNP) under the HPC4E Project (www.hpc4e.eu), grant agreement No. 689772.
dc.format.extent14 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights©2018 Elsevier
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Aplicacions informàtiques a la física i l‘enginyeria
dc.subject.lcshMaxwell equations
dc.subject.lcshGeophysics -- Data processing
dc.subject.lcshFinite element method
dc.subject.otherMarine electromagnetics
dc.subject.otherEdge finite element
dc.subject.otherHigh-performance computing
dc.subject.otherNumerical solutions
dc.titlePETGEM: A parallel code for 3D CSEM forward modeling using edge finite elements
dc.typeArticle
dc.subject.lemacEquacions de Maxwell
dc.subject.lemacGeofísica -- Informàtica
dc.subject.lemacElements finits, Mètode dels
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.1016/j.cageo.2018.07.005
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0098300418301365?via%3Dihub
dc.rights.accessOpen Access
local.identifier.drac28521758
dc.description.versionPostprint (author's final draft)
local.citation.authorCastillo, O.; de la Puente, J.; Cela, J.
local.citation.publicationNameComputers and geosciences
local.citation.volume119
local.citation.startingPage123
local.citation.endingPage136


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