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dc.contributor.authorAlvarez-Aramberri, J. 
dc.contributor.authorPardo, D. 
dc.date.accessioned2016-12-05T16:54:39Z
dc.date.available2016-12-05T16:54:39Z
dc.date.issued2016-09-01
dc.identifier.issn1877-7503
dc.identifier.urihttp://hdl.handle.net/20.500.11824/329
dc.description.abstractMagnetotelluric (MT) problems often contain different subdomains where the conductivity of the media depends upon one, two, or three spatial variables. Traditionally, when a MT problem incorporates a three-dimensional (3D) subdomain, the numerical method employed for simulation and inversion was 3D over then entire domain. In here, we propose to take advantage of the possibly lower dimensionality of certain subdomains during the inversion process. By doing so, we obtain significant computational savings (up to 75% in some scenarios) and increased accuracy on the results. We numerically illustrate this method by employing two dimensional (2D) computations based on a multi-goal oriented . hp-adaptive Finite Element Method (FEM) that exhibits superior convergence properties. Additionally, we provide a formulation for implementing an efficient adjoint based method for the computation of the derivatives of the impedance, and we show the importance of the (a) proper selection of the inversion variable, and (b) the advantages of using both the Transverse Electric (TE) and Transverse Magnetic (TM) measurements for the proper inversion of MT data.en_US
dc.formatapplication/pdfen_US
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.subjectDimensionally adaptive methoden_US
dc.subjectFinite element method (FEM)en_US
dc.subjecthp-Adaptivityen_US
dc.subjectInverse problemsen_US
dc.subjectMagnetotelluric problemen_US
dc.titleDimensionally adaptive hp-finite element simulation and inversion of 2D magnetotelluric measurementsen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1016/j.jocs.2016.07.014
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.jocs.2016.07.014en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/644202en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//SEV-2013-0323en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//MTM2013-40824-Pen_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/Gobierno Vasco/BERC/BERC.2014-2017en_US
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersionen_US
dc.journal.titleJournal of Computational Scienceen_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España