Multiple-Point statistics for stochastic modelling of groundwater reservoirs

Geoscience Seminar - Prof Philippe Renard, University of Neuchâtel, Switzerland, will present a seminar on "Multiple-Point statistics for stochastic modelling of groundwater reservoirs"

Prof Philippe Renard, University of Neuchâtel, Switzerland, will present a seminar on "Multiple-Point statistics for stochastic modelling of groundwater reservoirs"

Abstract: In the last 20 years, multiple-point statistics have been a focus of much research, successes and disappointments. The aim of this geostatistical approach is to integrate geological information into stochastic models of geological heterogeneity to better represent the connectivity of high or low permeability structures in the underground.

Many different algorithms have been and are still proposed. They are all based on the concept of a training data set from which spatial statistics are derived and used in a further step to generate stochastic conditional realizations. While the method clearly succeeded in enabling modellers to generate realistic models, several issues are still the topic of debate both from a practical and theoretical point of view, and some issues such as training data set availability are often hindering the application of the method in practical situations.