Identifying Flow Networks in a Karstified Aquifer by Application of the Cellular Automata-Based Deterministic Inversion Method (Lez Aquifer, France)

P Fischer 1 Abderrahim Jardani 1 X Wang 2 H Jourde 2 N. Lecoq 1
1 M2C - Morphodynamique Continentale et Côtière
2 HSM - Hydrosciences Montpellier
Abstract : The distributed modeling of flow paths within karstic and fractured fields remains a complex task because of the high dependence of the hydraulic responses to the relative locations between observational boreholes and interconnected fractures and karstic conduits that control the main flow of the hydrosystem. The inverse problem in a distributed model is one alternative approach to interpret the hydraulic test data by mapping the karstic networks and fractured areas. In this work, we developed a Bayesian inversion approach, the Cellular Automata‐based Deterministic Inversion (CADI) algorithm to infer the spatial distribution of hydraulic properties in a structurally constrained model. This method distributes hydraulic properties along linear structures (i.e., flow conduits) and iteratively modifies the structural geometry of this conduit network to progressively match the observed hydraulic data to the modeled ones. As a result, this method produces a conductivity model that is composed of a discrete conduit network embedded in the background matrix, capable of producing the same flow behavior as the investigated hydrologic system. The method is applied to invert a set of multiborehole hydraulic tests collected from a hydraulic tomography experiment conducted at the Terrieu field site in the Lez aquifer, Southern France. The emergent model shows a high consistency to field observation of hydraulic connections between boreholes. Furthermore, it provides a geologically realistic pattern of flow conduits. This method is therefore of considerable value toward an enhanced distributed modeling of the fractured and karstified aquifers.
Keywords : hydraulic tomography karst aquifer characterization distributed modeling inverse problem fractured aquifer
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https://hal-normandie-univ.archives-ouvertes.fr/hal-01742263
Contributeur : Pierre Weill <>
Soumis le : samedi 24 mars 2018 - 12:59:23
Dernière modification le : mardi 28 mai 2019 - 13:48:07

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COMUE-NORMANDIE | INSU | CNRS | AGROPOLIS | B3ESTE | UNIV-MONTPELLIER | M2C | UNIROUEN | UNICAEN

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P Fischer, Abderrahim Jardani, X Wang, H Jourde, N. Lecoq. Identifying Flow Networks in a Karstified Aquifer by Application of the Cellular Automata-Based Deterministic Inversion Method (Lez Aquifer, France). Water Resources Research, American Geophysical Union, 2017, 53 (12), pp.10508--10522. ⟨10.1002/2017wr020921⟩. ⟨hal-01742263⟩

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