Bayesian Poroelastic Aquifer Characterization from InSAR Surface Deformation Data. Part I: Maximum A Posteriori Estimate

Characterizing the properties of groundwater aquifers is essential for predicting aquifer response and managing groundwater resources. In this work, we develop a high-dimensional scalable Bayesian inversion framework governed by a three-dimensional quasi-static linear poroelastic model to characteri...

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Veröffentlicht in:	arXiv.org 2020-02
Hauptverfasser:	Alghamdi, Amal, Hesse, Marc A, Chen, Jingyi, Ghattas, Omar
Format:	Artikel
Sprache:	eng
Schlagworte:	Aquifers Bayesian analysis Computer Science - Computational Engineering, Finance, and Science Deformation Groundwater Heterogeneity Interferometric synthetic aperture radar Lateral displacement Newton methods Noise levels Parameters Permeability Physics - Geophysics Poroelasticity
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