Solving multiphysics-based inverse problems with learned surrogates and constraints

Abstract Solving multiphysics-based inverse problems for geological carbon storage monitoring can be challenging when multimodal time-lapse data are expensive to collect and costly to simulate numerically. We overcome these challenges by combining computationally cheap learned surrogates with learne...

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Bibliographic Details
Main Authors: Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
Format: Article
Language:English
Published: SpringerOpen 2023-10-01
Series:Advanced Modeling and Simulation in Engineering Sciences
Subjects:
Online Access:https://doi.org/10.1186/s40323-023-00252-0