Hydrogeological conceptual models are collections of hypotheses describing the
understanding of groundwater systems and they are considered one of the major sources of …

Scientific curiosity, exploration of georesources and environmental concerns are pushing
the geoscientific research community toward subsurface investigations of ever-increasing …

Multiple‐point geostatistics is a general statistical framework to model spatial fields
displaying a wide range of complex structures. In particular, it allows controlling connectivity …

An important issue in reservoir modeling is accurate generation of complex structures. The
problem is difficult because the connectivity of the flow paths must be preserved. Multiple …

Web-based distributed modelling architectures are gaining increasing recognition as
potentially useful tools to build holistic environmental models, combining individual …

The goal of simulation of aquifer heterogeneity is to produce a spatial model of the
subsurface that represents a system such that it can be used to understand or predict flow …

Uncertainty quantification is currently one of the leading challenges in the geosciences, in
particular in reservoir modeling. A wealth of subsurface data as well as expert knowledge …

Geological heterogeneity is a very important factor to consider when developing geological
models for hydrological purposes. Using statistically based stochastic geological …

In inverse problems, investigating uncertainty in the posterior distribution of model
parameters is as important as matching data. In recent years, most efforts have focused on …

Sedimentological processes often result in complex three-dimensional subsurface
heterogeneity of hydrogeological parameter values. Variogram-based stochastic …