Uncertainty Quantification With Ensemble-Based FWI - Application to 2D OBC Data from the Valhall Field
| Autor: | Julien Thurin, Ludovic Métivier, Romain Brossier |
|---|---|
| Přispěvatelé: | 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]), Equations aux Dérivées Partielles (EDP ), Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Regional geology
010504 meteorology & atmospheric sciences Estimation theory Computer science Bayesian probability Inversion (meteorology) [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] Kalman filter Covariance 010502 geochemistry & geophysics 01 natural sciences [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Uncertainty quantification Algorithm 0105 earth and related environmental sciences Environmental geology |
| Zdroj: | 81st EAGE Conference and Exhibition 2019 81st EAGE Conference and Exhibition 2019, Jun 2019, London, United Kingdom. ⟨10.3997/2214-4609.201900881⟩ |
| DOI: | 10.3997/2214-4609.201900881⟩ |
| Popis: | International audience; Full Waveform Inversion (FWI) is an ill-posed nonlinear inverse problem, which aims at recovering high-resolution geophysical subsurface models. This work focuses on the joint application of the Ensemble Transform Kalman Filter and Quasi-Newton Full Waveform Inversion (ETKF-FWI) on seismic-exploration field-data to estimate uncertainty. We reintroduce the ETKF-FWI formalism under a compact form and apply our scheme on a 2D line from the 3D OBC data from the North Sea Valhall field. This scheme allows us to express our solution as an ensemble of subsurface parameter models in a Bayesian formalism. The mean of the output ensemble yields a parameter estimation similar in quality to that of standard adjoint-based FWI, and the posterior covariance of the ensemble holds the uncertainty of the parameter estimation as well as resolution information. We show that both the uncertainty estimation and the resolution information are consistent with our understanding of the FWI problem. This application demonstrates the suitability of ETKF-FWI for uncertainty estimation in full waveform tomography beyond synthetic benchmarks. |
| Databáze: | OpenAIRE |
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