Reference : Prior uncertainty investigation of density-viscosity dependent joint transport of hea...
Scientific congresses and symposiums : Unpublished conference/Abstract
Engineering, computing & technology : Geological, petroleum & mining engineering
Prior uncertainty investigation of density-viscosity dependent joint transport of heat and solute in alluvial sediments
Hoffmann, Richard mailto [Université de Liège - ULiège > > > Form. doct. sc. ingé. & techn. (archi., gén. civ. - paysage)]
Hermans, Thomas [Ghent University > Department of Geology > > >]
Goderniaux, Pascal [> Geology and Applied Geology > University of Mons > >]
Dassargues, Alain mailto [Université de Liège - ULiège > Département ArGEnCo > Hydrogéologie & Géologie de l'environnement >]
Computational Methods in Water Resources - Bridging gaps between data, models and predictions
from 03-07-2018 to 07-07-2018
University of Rennes 1
Saint Malo
[en] Joint heat and solute tracer test ; Bayesian Evidential Learning ; density-viscosity dependent flow
[en] Joint heat and solute tracer tests allow to add diffusion and conduction information to the solute advection-dispersion and help imaging preferential pathways in heterogeneous aquifers. We perform a joint interpretation of heat and solute tracer tests combining deterministic modeling and Bayesian Evidential Learning. The results show a strong influence of the water viscosity. The stochastic simulations highlight the influence of spatial and parameter uncertainty on the resulting breakthrough curves, stressing the need for realistic uncertainty quantification.
Hydrogeology and Environmental Geology, University of Liege
Joint heat and solute tracer test inversion for imaging preferential pathways
Researchers ; Professionals ; Students
Orale Presentation
H2020 ; 722028 - ENIGMA - European training Network for In situ imaGing of dynaMic processes in heterogeneous subsurfAce environments

File(s) associated to this reference

Fulltext file(s):

Restricted access
HoffmannEtAl-23-2-166_CMWR18.pdfAuthor postprint2.39 MBRequest copy
Restricted access
Abstract_CMWR2018_paper_166.pdfAuthor preprint658.71 kBRequest copy

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.