The spatial organisation of (dis-)connected hydrogeological units influences strongly the conditions of subsurface flow and transport. Physically based, process imitating and multiple-point statistics simulations allows the reproduction of such complex features, but at which costs? Are these techniques applicable for uncertainty quantification? The presentation will be illustrated by two examples, one based on the inference of the porosity property field at the Boise Hydrogeophysical Research Site, and the other about the conceptual characterization of density anomalies in the Geneva basin.
About the speaker, Guillaume Pirot:
After a couple of years as an Engineer in Information Technologies for the retail industry in France, Guillaume switched to academia and completed a PhD in Hydrogeology at the University of Neuchâtel, Switzerland, where he developed stochastic methods to generate braided-river aquifer models.
Following a postdoc in geophysical data inversion at the University of Lausanne, Switzerland, Guillaume joined UWA in 2019 to work on uncertainty quantification.
Guillaume’s research interests are related to subsurface characterization, spatial statistics, the modelling of geometrically complex heterogeneous structures, and rigorous characterization, propagation and reduction of uncertainty.
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