A Stochastic Methodology for 3D Cave Systems Modeling - Université de Lorraine Access content directly
Conference Papers Year : 2008

A Stochastic Methodology for 3D Cave Systems Modeling


This paper describes a methodology to generate stochastic models of 3D cave systems. It combines existing geostatistical techniques, namely object-based and variogram-based geostatistics. The first is used to simulate Discrete Fracture Networks (DFNs) which in addition of bedding planes drive the development of karst features. The discontinuity network and the matrix are jointly discretized into a graph of connectivities. Preferential flow paths determining the topology of the cave system are then extracted using graph search algorithms. The distance map to the selected paths is used to conditioned the spatial extent of karst features, i.e., the probability to simulate karst decreases moving away from “dissolution paths”. Eventually, multiple realizations of a distance cutoff are generated with Sequential Gaussian Simulation to perturb the distance function. Resulting models efficiently reproduce the spatial variability of karst features in term of geometry and their spatial organization in term of connectivity.
Fichier principal
Vignette du fichier
2008Conf_Henrion_Geostat.pdf (3.11 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01844418 , version 1 (19-07-2018)


  • HAL Id : hal-01844418 , version 1


Vincent Henrion, Jeanne Pellerin, Guillaume Caumon. A Stochastic Methodology for 3D Cave Systems Modeling. Eighth Geostatistical Geostatistics Congress, 2008, Santiago, Chile, Chile. pp.525-533. ⟨hal-01844418⟩
124 View
155 Download


Gmail Facebook X LinkedIn More