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HPC geophysical electromagnetics: a synthetic VTI model with complex bathymetry
dc.contributor.author | Castillo Reyes, Octavio |
dc.contributor.author | Puente Álvarez, Josep de la |
dc.contributor.author | Cela Espín, José M. |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2022-02-10T10:47:40Z |
dc.date.available | 2022-02-10T10:47:40Z |
dc.date.issued | 2022-02-10 |
dc.identifier.citation | Castillo, O.; De la Puente, J.; Cela, J. HPC geophysical electromagnetics: a synthetic VTI model with complex bathymetry. "Energies", 10 Febrer 2022, vol. 15, núm. 4, article 1272, p. 1-12. |
dc.identifier.issn | 1996-1073 |
dc.identifier.uri | http://hdl.handle.net/2117/362088 |
dc.description.abstract | We introduce a new synthetic marine model for 3D controlled-source electromagnetic method (CSEM) surveys. The proposed model includes relevant features for the electromagnetic geophysical community such as large conductivity contrast with vertical transverse isotropy and a complex bathymetry profile. In this paper, we present the experimental setup and several 3D CSEM simulations in the presence of a resistivity unit denoting a hydrocarbon reservoir. We employ a parallel and high-order vector finite element routine to perform the CSEM simulations. By using tailored meshes, several scenarios are simulated to assess the influence of the reservoir unit presence on the electromagnetic responses. Our numerical assessment confirms that resistivity unit strongly influences the amplitude and phase of the electromagnetic measurements. We investigate the code performance for the solution of fundamental frequencies on high-performance computing architectures. Here, excellent performance ratios are obtained. Our benchmark model and its modeling results are developed under an open-source scheme that promotes easy access to data and reproducible solutions. |
dc.description.sponsorship | The work of O.C-R., conducted in the frame of PIXIL project, has been 65% cofinanced by the European Regional Development Fund (ERDF) through the Interreg V-A SpainFrance-Andorra program (POCTEFA2014-2020). BSC authors have received funding from the European Union’s Horizon 2020 programme under the Marie Sklodowska-Curie grant agreement N◦ 777778. Furthermore, the development of PETGEM has received funding from the European Union’s Horizon 2020 programme, grant agreement N◦ 828947, and from the Mexican Department of Energy, CONACYT-SENER Hidrocarburos grant agreement N◦ B-S-69926. |
dc.format.extent | 12 p. |
dc.language.iso | eng |
dc.rights | Attribution 4.0 International |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject | Àrees temàtiques de la UPC::Enginyeria civil::Geologia |
dc.subject.lcsh | Prospecting -- Geophysical methods |
dc.subject.lcsh | High performance computing |
dc.subject.other | Electromagnetic geophysical |
dc.subject.other | Numerical simulations |
dc.subject.other | High-order methods |
dc.subject.other | Tailored meshes |
dc.subject.other | HPC |
dc.title | HPC geophysical electromagnetics: a synthetic VTI model with complex bathymetry |
dc.type | Article |
dc.subject.lemac | Prospecció -- Mètodes geofísics |
dc.subject.lemac | Càlcul intensiu (Informàtica) |
dc.contributor.group | Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
dc.identifier.doi | 10.3390/en15041272 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.mdpi.com/1996-1073/15/4/1272 |
dc.rights.access | Open Access |
local.identifier.drac | 32565543 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/777778/EU/Multiscale Inversion of Porous Rock Physics using High-Performance Simulators: Bridging the Gap between Mathematics and Geophysics/MATHROCKS |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/828947/EU/Supercomputing and Energy for Mexico/ENERXICO |
local.citation.author | Castillo, O.; de la Puente, J.; Cela, J. |
local.citation.publicationName | Energies |
local.citation.volume | 15 |
local.citation.number | 4, article 1272 |
local.citation.startingPage | 1 |
local.citation.endingPage | 12 |
dc.relation.dataset | https://zenodo.org/records/5842270 |
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