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

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  • معلومة اضافية
    • Contributors:
      Bureau de Recherches Géologiques et Minières (BRGM) (BRGM); Intel France Meudon; King Abdullah University of Science and Technology Saudi Arabia (KAUST); Institut des Sciences de la Terre (ISTerre); Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement IRD : UR219-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ); Intel Corporation Hillsboro; Intel Corporation USA; CEA Cadarache; Commissariat à l'énergie atomique et aux énergies alternatives (CEA); Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)
    • بيانات النشر:
      HAL CCSD
    • الموضوع:
      2017
    • Collection:
      Institut national des sciences de l'Univers: HAL-INSU
    • الموضوع:
    • نبذة مختصرة :
      International audience ; 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.
    • Relation:
      hal-01512919; https://brgm.hal.science/hal-01512919; https://brgm.hal.science/hal-01512919/document; https://brgm.hal.science/hal-01512919/file/Paris%202017%20-%20CfA%20Workshop%20-%20De%20Martin%20et%20al.pdf
    • الدخول الالكتروني :
      https://brgm.hal.science/hal-01512919
      https://brgm.hal.science/hal-01512919/document
      https://brgm.hal.science/hal-01512919/file/Paris%202017%20-%20CfA%20Workshop%20-%20De%20Martin%20et%20al.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.B0AC8850