Probabilistic inference of fracture-scale flow paths and aperture distribution from hydrogeophysically-monitored tracer tests

Détails

ID Serval
serval:BIB_693BBA4A58AA
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Probabilistic inference of fracture-scale flow paths and aperture distribution from hydrogeophysically-monitored tracer tests
Périodique
Journal of Hydrology
Auteur(s)
Shakas A., Linde N., Le Borgne T., Bour O.
ISSN
0022-1694
ISSN-L
1879-2707
Statut éditorial
Publié
Date de publication
12/2018
Peer-reviewed
Oui
Volume
567
Pages
305-319
Langue
anglais
Résumé
Fracture-scale heterogeneity plays an important role in driving dispersion, mixing and heat transfer in fractured rocks. Current approaches to characterize fracture scale flow and transport processes largely rely on indirect information based on the interpretation of tracer tests. Geophysical techniques used in parallel with tracer tests can offer time-lapse images indicative of the migration of electrically-conductive tracers away from the injection location. In this study, we present a methodology to invert time-lapse ground penetrating radar reflection monitoring data acquired during a push-pull tracer test to infer fracture-scale transport patterns and aperture distribution. We do this by using a probabilistic inversion based on a Markov chain Monte Carlo algorithm. After demonstration on a synthetic dataset, we apply the new inversion method to field data. Our main findings are that the marginal distribution of local fracture apertures is well resolved and that the field site is characterized by strong flow channeling, which is consistent with interpretations of heat tracer tests in the same injection fracture.
Mots-clé
Water Science and Technology
Création de la notice
19/12/2018 16:57
Dernière modification de la notice
20/08/2019 14:24
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