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dc.contributor.authorFerrer, Miguel
dc.contributor.authorde la Puente, Josep
dc.contributor.authorFarrés, Albert
dc.contributor.authorCastillo, José E.
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2016-03-22T11:51:44Z
dc.date.available2016-03-22T11:51:44Z
dc.date.issued2015
dc.identifier.citationFerrer, Miguel [et al.]. 3D Viscoelastic Anisotropic Seismic Modeling with High-Order Mimetic Finite Differences. A: "Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2014. Selected papers from the ICOSAHOM conference, June 23-27, 2014, Salt Lake City, Utah, USA". Springer, 2015, p. 217-225.
dc.identifier.isbn978-3-319-19799-9
dc.identifier.urihttp://hdl.handle.net/2117/84766
dc.description.abstractWe present a scheme to solve three-dimensional viscoelastic anisotropic wave propagation on structured staggered grids. The scheme uses a fully-staggered grid (FSG) or Lebedev grid (Lebedev, J Sov Comput Math Math Phys 4:449–465, 1964; Rubio et al. Comput Geosci 70:181–189, 2014), which allows for arbitrary anisotropy as well as grid deformation. This is useful when attempting to incorporate a bathymetry or topography in the model. The correct representation of surface waves is achieved by means of using high-order mimetic operators (Castillo and Grone, SIAM J Matrix Anal Appl 25:128–142, 2003; Castillo and Miranda, Mimetic discretization methods. CRC Press, Boca Raton, 2013), which allow for an accurate, compact and spatially high-order solution at the physical boundary condition. Furthermore, viscoelastic attenuation is represented with a generalized Maxwell body approximation, which requires of auxiliary variables to model the convolutional behavior of the stresses in lossy media. We present the scheme’s accuracy with a series of tests against analytical and numerical solutions. Similarly we show the scheme’s performance in high-performance computing platforms. Due to its accuracy and simple pre- and post-processing, the scheme is attractive for carrying out thousands of simulations in quick succession, as is necessary in many geophysical forward and inverse problems both for the industry and academia.
dc.description.sponsorshipThe authors want to thank Repsol for the permission to publish the present research, carried out at the Repsol-BSC Research Center as a part of the Kaleidoscope Project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 644602.
dc.format.extent9 p.
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofseriesLecture Notes in Computational Science and Engineering, 106 (2015)
dc.subjectÀrees temàtiques de la UPC::Enginyeria electrònica
dc.subject.lcshHigh performance computing
dc.subject.lcshSeismic waves
dc.subject.other3D Viscoelastic Anisotropic Seismic Modeling
dc.subject.otherHigh-performance computing
dc.title3D Viscoelastic Anisotropic Seismic Modeling with High-Order Mimetic Finite Differences
dc.typePart of book or chapter of book
dc.subject.lemacOnes sísmiques
dc.identifier.doi10.1007/978-3-319-19800-2_18
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-3-319-19800-2_18
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/644202/EU/Geophysical Exploration using Advanced GAlerkin Methods/GEAGAM
local.citation.publicationNameSpectral and High Order Methods for Partial Differential Equations ICOSAHOM 2014. Selected papers from the ICOSAHOM conference, June 23-27, 2014, Salt Lake City, Utah, USA
local.citation.volume106
local.citation.startingPage217
local.citation.endingPage225


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