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FWT2D: A massively parallel program for frequency-domain full-waveform tomography of wide-aperture seismic data—Part 2: Numerical examples and scalability analysis

Florent Sourbier 1 Stéphane Operto 1 Jean Virieux 2 Patrick Amestoy 3 Jean-Yves l'Excellent 4
1 GEOAZUR 6526 - Géoazur
2 LGIT - Laboratoire de Géophysique Interne et Tectonophysique
3 ENSEEIHT - Ecole Nationale Supérieure d'Electrotechnique, d'Electronique, d'Informatique, d'Hydraulique et de Télécommunications
4 LIP - Laboratoire de l'Informatique du Parallélisme
Abstract : This is the second paper in a two-part series that describes a massively parallel code that performs 2D full-waveform inversion of wide-aperture seismic data for imaging complex structures. We present several numerical validation of the full-waveform inversion code with both canonical and realistic synthetic examples. We illustrate how different multiscale strategies can be applied by either successive mono-frequency inversions or simultaneous multifrequency inversions and their impact on the convergence and the robustness of the inversion. We present a scalability analysis using a real marine data set recorded by a dense array of ocean bottom seismometers to image the crustal structure of a subduction zone. We obtained a speedup of 20 when using 50 processes on a PC cluster which allowed us to iteratively invert 13 frequencies of the full data set in less than 2 days. This computational performance will allow in the future more extensive analysis of full-waveform tomography methods when applied to representative case studies or when considering 3D geometries.
Keywords : Seismic imaging Full-waveform inversion Parallel computation
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Journal articles
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https://hal-insu.archives-ouvertes.fr/insu-00354706
Contributor : Pascale Talour <>
Submitted on : Tuesday, January 20, 2009 - 4:12:10 PM
Last modification on : Tuesday, December 8, 2020 - 10:51:14 AM

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INSU | UNICE | CNRS | INRIA | UNIV-SAVOIE | GEOAZUR | OCA | LIP | UPMC | ENS-LYON | IFSTTAR | SIGAMM | UNIV-COTEDAZUR | UNIV-LYON1 | SORBONNE-UNIVERSITE | UNIV-TLSE3 | IRSTEA | UDL | INRAE | UGA

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Florent Sourbier, Stéphane Operto, Jean Virieux, Patrick Amestoy, Jean-Yves l'Excellent. FWT2D: A massively parallel program for frequency-domain full-waveform tomography of wide-aperture seismic data—Part 2: Numerical examples and scalability analysis. Computers & Geosciences, Elsevier, 2009, 35 (3), pp.496-514. ⟨10.1016/j.cageo.2008.04.012⟩. ⟨insu-00354706⟩

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