Bayesian uncertainty quantification in pore-scale imaging: how to robustly infer porous media morphological properties through reactive inverse problems ? - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Bayesian uncertainty quantification in pore-scale imaging: how to robustly infer porous media morphological properties through reactive inverse problems ?

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hal-04161896 , version 1 (13-07-2023)

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  • HAL Id : hal-04161896 , version 1

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Sarah Perez, Philippe Poncet. Bayesian uncertainty quantification in pore-scale imaging: how to robustly infer porous media morphological properties through reactive inverse problems ?. 22st Annual Conference of the International Association for Mathematical Geosciences (IAMG 2023), Aug 2023, Trondheim, Norway. ⟨hal-04161896⟩
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