Impact of petrophysical uncertainty on Bayesian hydrogeophysical inversion and model selection

Détails

ID Serval
serval:BIB_C244D2F4E8A3
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Impact of petrophysical uncertainty on Bayesian hydrogeophysical inversion and model selection
Périodique
Advances in Water Resources
Auteur(s)
Brunetti C., Linde N.
ISSN
0309-1708
Statut éditorial
Publié
Date de publication
2018
Peer-reviewed
Oui
Volume
111
Pages
346-359
Langue
anglais
Résumé
Quantitative hydrogeophysical studies rely heavily on petrophysical relationships that link geophysical properties to hydrogeological properties and state variables. Coupled inversion studies are frequently based on the questionable assumption that these relationships are perfect (i.e., no scatter). Using synthetic examples and crosshole ground-penetrating radar (GPR) data from the South Oyster Bacterial Transport Site in Virginia, USA, we investigate the impact of spatially-correlated petrophysical uncertainty on inferred posterior porosity and hydraulic conductivity distributions and on Bayes factors used in Bayesian model selection. Our study shows that accounting for petrophysical uncertainty in the inversion (I) decreases bias of the inferred variance of hydrogeological subsurface properties, (II) provides more realistic uncertainty assessment and (III) reduces the overconfidence in the ability of geophysical data to falsify conceptual hydrogeological models.
Mots-clé
Water Science and Technology
Web of science
Création de la notice
19/12/2018 16:48
Dernière modification de la notice
20/08/2019 15:37
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