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  4. On the use of multiple-point statistics to improve groundwater flow modeling in karst aquifers: A case study from the Hydrogeological Experimental Site of Poitiers, France
 
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On the use of multiple-point statistics to improve groundwater flow modeling in karst aquifers: A case study from the Hydrogeological Experimental Site of Poitiers, France

Auteur(s)
Le Coz, M
Editeur(s)
Bodin, J
Renard, Philippe 
Centre d'hydrogéologie et de géothermie 
Date de parution
2017
In
Journal of Hydrology, Elsevier, 2017/545//109-119
Mots-clés
  • Pumping tests

  • Heterogeneous media

  • Karst conduit network...

  • Reservoir

Résumé
Limestone aquifers often exhibit complex groundwater flow behaviors resulting from depositional heterogeneities and post-lithification fracturing and karstification. In this study, multiple-point statistics (MPS) was applied to reproduce karst features and to improve groundwater flow modeling. For this purpose, MPS realizations were used in a numerical flow model to simulate the responses to pumping test experiments observed at the Hydrogeological Experimental Site of Poitiers, France. The main flow behaviors evident in the field data were simulated, particularly (i) the early-time inflection of the drawdown signal at certain observation wells and (ii) the convex behavior of the drawdown curves at intermediate times. In addition, it was shown that the spatial structure of the karst features at various scales is critical with regard to the propagation of the depletion wave induced by pumping. Indeed, (i) the spatial shape of the cone of depression is significantly affected by the karst proportion in the vicinity of the pumping well, and (ii) early-time inflection of the drawdown signal occurs only at observation wells crossing locally well-developed karst features.
URI
https://libra.unine.ch/handle/123456789/3085
DOI
10.1016/j.jhydrol.2016.12.010
Autre version
https://doi.org/10.1016/j.jhydrol.2016.12.010
Type de publication
Resource Types::text::journal::journal article
Dossier(s) à télécharger
 main article: Le_Coz_M-On_the_use_of_multiple-point-20180124.pdf (3.52 MB)
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