Multilevel Monte Carlo (MLMC) Acceleration of Seismic Wave Propagation under Uncertainty
Type
Poster
KAUST Department
Department of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE)PSE
Date
2018-04-13Permanent link to this record
http://hdl.handle.net/10754/630794Metadata
Show full item recordAbstract
We consider forward seismic wave propagation in an inhomogeneous linear viscoelastic media with random wave speed subjected to deterministic boundary and initial conditions. Considering random wave speed correspond to the inclusion of inherent uncertainty of the Earth parameters. We propose multilevel Monte Carlo simulation for computing statistics of some given quantities of interest. In this poster, we will present a case study from Tanzania to quantify uncertainty in Earth's parameters. This work provides a benchmark for the implementation of Multilevel algorithms to accelerate Seismic Inversion addressing earthquake source estimation as well as inferring Earth structure.Sponsors
This poster is part of an ongoing research project under the KAUST Competitive Research Grants Program-Round 4 (CRG4), ``Advanced Multi-Level Sampling Techniques for Bayesian Inverse Problems with \n Application to Subsurface". Computational resources on KAUST's \n supercomputer \emph{Shaheen} were provided through development \n project, k1275: ``Advanced Multi-Level Sampling Techniques''.Conference/Event name
Workshop on Uncertainty Quantification (UQ) for Inverse Problems in Complex SystemsCollections
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Except where otherwise noted, this item's license is described as Attribution-NoDerivs 3.0 United States