Skip to Main content Skip to Navigation
Conference papers

A Stochastic Methodology for 3D Cave Systems Modeling

Abstract : 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.
Complete list of metadata

Cited literature [12 references]  Display  Hide  Download
Contributor : Guillaume Caumon Connect in order to contact the contributor
Submitted on : Thursday, July 19, 2018 - 12:45:22 PM
Last modification on : Tuesday, October 19, 2021 - 7:01:27 PM
Long-term archiving on: : Saturday, October 20, 2018 - 3:58:45 PM


Files produced by the author(s)


  • 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⟩



Record views


Files downloads