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dc.contributor.authorAlvarez-Aramberri, J. 
dc.contributor.authorPardo, D. 
dc.contributor.authorBarucq, E.
dc.date.accessioned2016-06-13T13:11:51Z
dc.date.available2016-06-13T13:11:51Z
dc.date.issued2015-12-31
dc.identifier.issn1877-7503
dc.identifier.urihttp://hdl.handle.net/20.500.11824/98
dc.description.abstractIn some geophysical problems, it is sometimes possible to divide the subsurface resistivity distribution as a one dimensional (1D) contribution plus some two dimensional (2D) inhomogeneities. Assuming this scenario, we split the electromagnetic fields into their primary and secondary components, the former corresponding to the 1D contribution, and the latter to the 2D inhomogeneities. While the primary field is solved via an analytical solution, for the secondary field we employ a multi-goal oriented self-adaptive hp-Finite Element Method (FEM). To truncate the computational domain, we design a Perfectly Matched Layer (PML) that automatically adapts to high-contrast materials that appear in the subsurface and in the air–ground interface. Numerical results illustrate the robustness of the proposed PML and the gains of the secondary field approach, where we obtain results with comparable accuracy than with a full field based formulation but with a much lower computational cost.
dc.formatapplication/pdf
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectFinite Element Method (FEM)
dc.subjecthp-Adaptivity
dc.subjectMagnetotelluric problem
dc.subjectSecondary field formulation
dc.subjectPerfectly Matched Layers (PMLs)
dc.titleA Secondary Field Based hp-Finite Element Method for the Simulation of Magnetotelluric Measurementsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.identifier.doi10.1016/j.jocs.2015.02.005
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S1877750315000150
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen_US
dc.journal.titleJournal of Computational Scienceen_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
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