Sensitivity analysis of synthetic seismograms in sedimentary basin with respect to uncertain seismological parameters

Florent de Martin (1) , Philippe Thierry (2) , David Keyes (3) , Emmanuel Chaljub (4) , Fabrice Dupros (1) , Faïza Boulahya (1) , Pierre Sochala (1) , Abed Benaichouche (1) , Jeremy Rohmer (1) , Gabriele Piaciucci (5) , Bilel Hadri (3) , Hatem Ltaief (3) , Fabrice Hollender (4, 6) , P.-Y. Bard (7, 4) , Emeline Maufroy (4)

1 BRGM - Bureau de Recherches Géologiques et Minières (BRGM)
2 Intel France [Meudon]
3 KAUST - King Abdullah University of Science and Technology
4 ISTerre - Institut des Sciences de la Terre
5 Intel Corporation [Hillsboro]
6 CEA Cadarache
7 IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux

This study focuses on the understanding of the variability and sensitivity of synthetic earthquake ground motions at sedimentary basin scale associated with the epistemic uncertainties of the model of seismic wave propagation. The key question at stake is the following: What is the spatiotemporal variability and sensitivity of seismograms at the surface with respect to seismological parameters? To achieve this objective, we describe the whole concept including pre- and post-processing around the main earthquake simulation engine. The different stages can be viewed as follow: 1° definition of the initial model perturbation to generate a given set of input parameters, 2° simulation including a runtime filtering and a post-simulation filtering and decimation to reduce the amount of output data, 3° UQ analysis on parallel file system including Hadoop evaluation, and multi-level MPI communicators to obtain the final results of the global big data application.

Keywords: Earthquake; Seism; Risk

Domains: Geophysics [physics.geo-ph]; Distributed, Parallel, and Cluster Computing [cs.DC]; Modeling and Simulation; Numerical Analysis [cs.NA]

Florent de Martin, Philippe Thierry, David Keyes, Emmanuel Chaljub, Fabrice Dupros, et al.. Sensitivity analysis of synthetic seismograms in sedimentary basin with respect to uncertain seismological parameters. 79th EAGE Conference & Exhibition 2017 Energy, Technology, Sustainability - Time to open a new Chapter, Jun 2017, Paris, France. ⟨hal-01512919⟩