Uncertainty quantification of the subsurface water content through BEL1D interpretation of SNMR data

Poster (Scientific congresses and symposiums)

Michel, Hadrien; Hermans, Thomas; Nguyen, Frédéric

2019 • Groundwater Quality 2019

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https://hdl.handle.net/2268/244876

GQ2019_poster_HM.pdf

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Keywords :

Applied Geophysics; Groundwater; Bayesian Evidential Learning; Surface Nuclear Magnetic Resonance

Disciplines :

Geological, petroleum & mining engineering

Author, co-author :

Michel, Hadrien ; Université de Liège - ULiège > Département ArGEnCo > Géophysique appliquée

Hermans, Thomas; Universiteit Gent - UGent > Faculty of Sciences > Department of Geology

Nguyen, Frédéric ; Université de Liège - ULiège > Département ArGEnCo > Géophysique appliquée

Language :

English

Title :

Uncertainty quantification of the subsurface water content through BEL1D interpretation of SNMR data

Publication date :

September 2019

Event name :

Groundwater Quality 2019

Event place :

Liège, Belgium

Event date :

du 9 septembre 2019 au 12 septembre 2019

Audience :

International

Funders :

F.R.S.-FNRS - Fonds de la Recherche Scientifique

Available on ORBi :

since 17 February 2020

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