%0 Journal Article
%T Two-dimensional frequency-domain visco-elastic full waveform inversion: Parallel algorithms, optimization and performance
%+ Risques (Risques)
%A Brossier, Romain
%Z Funded by the SEISCOPE consortium (http://seiscope.oca.eu).
%< avec comitÃ© de lecture
%@ 0098-3004
%J Computers & Geosciences
%I Elsevier
%V 37
%N 4
%P pp.444-455
%8 2011
%D 2011
%R 10.1016/j.cageo.2010.09.013
%K Seismic wave modelling
%K Finite element discontinuous Galerkin
%K Multi-parameter seismic imaging
%K Quasi-Newton optimization
%K Massively parallel computing
%Z Sciences of the Universe [physics]/Earth Sciences/GeomorphologyJournal articles
%X Full waveform inversion (FWI) is an appealing seismic data-fitting procedure for the derivation of high-resolution quantitative models of the subsurface at various scales. Full modelling and inversion of visco-elastic waves from multiple seismic sources allow for the recovering of different physical parameters, although they remain computationally challenging tasks. An efficient massively parallel, frequency-domain FWI algorithm is implemented here on large-scale distributed-memory platforms for imaging two-dimensional visco-elastic media. The resolution of the elastodynamic equations, as the forward problem of the inversion, is performed in the frequency domain on unstructured triangular meshes, using a low-order finite element discontinuous Galerkin method. The linear system resulting from discretization of the forward problem is solved with a parallel direct solver. The inverse problem, which is presented as a non-linear local optimization problem, is solved in parallel with a quasi-Newton method, and this allows for reliable estimation of multiple classes of visco-elastic parameters. Two levels of parallelism are implemented in the algorithm, based on message passing interfaces and multi-threading, for optimal use of computational time and the core-memory resources available on modern distributed-memory multi-core computational platforms. The algorithm allows for imaging of realistic targets at various scales, ranging from near-surface geotechnic applications to crustal-scale exploration.
%G English
%L insu-00679644
%U https://insu.hal.science/insu-00679644
%~ INSU
%~ UNIV-SAVOIE
%~ UGA
%~ CNRS
%~ UNIV-GRENOBLE1
%~ INPG
%~ IRSTEA
%~ GIP-BE
%~ IFSTTAR
%~ AGREENIUM
%~ INRAE
%~ USMB-COMUE
%~ UNIV-EIFFEL
%~ IFSTTAR-UNIVEIFFEL