The main research of the stochastic hydrogeology and geostatistics group is related to uncertainty quantifications in the field of groundwater hydrology.

We develop theories and high performance computing software to model undeground reservoirs and quantify uncertainties.

We propose new methods allowing to integrate as much as possible geological and conceptual knowledge in the modeling of geological heterogeneity by developing new multiple-point statistics and pseudo genetic techniques. The applications of these methods allow to model a wide range of geological environments from alluvial aquifers to karst systems with a high degree of realism.

These models are also used to analyze the impact of heterogeneity on natural systems and processes such as sea water intrusion into coastal aquifers, stream-aquifer interaction, or CO2 sequestration.