Université de Neuchâtel

Stochastic simulation of rainfall and climate variables using the direct sampling technique

Oriani, Fabio ; Renard, Philippe (Dir.)

Thèse de doctorat : Université de Neuchâtel, 2015.

An accurate statistical representation of hydrological processes is of paramount importance to evaluate the uncertainty of the present scenario and make reliable predictions in a changing climate. A wealth of historic data has been made available in the last decades, including a consistent amount of remote sensing imagery describing the spatio-temporal nature of climatic and hydrological...

Université de Neuchâtel

Stochastic heterogeneity modeling of braided river aquifers : a methodology based on multiple point statistics and analog data

Pirot, Guillaume ; Renard, Philippe (Dir.) ; Straubhaar, Julien (Codir.)

Thèse de doctorat : Université de Neuchâtel, 2015.

In this thesis a new pseudo-genetic method to model the heterogeneity of sandy gravel braided-river aquifers is proposed. It is tested and compared with other modeling approaches on a case study of contaminant transport. Indeed, in Switzerland or in mountainous regions, braided-river aquifers represent an important water resource that need to be preserved. In order to manage this resource, a good...

Université de Neuchâtel

3D stochastic modeling of karst aquifers using a pseudo-genetic methodology

Borghi, Andrea ; Renard, Philippe (Dir.)

Thèse de doctorat : Université de Neuchâtel, 2013.

The focus of this thesis is the development of a methodology to model karst aquifers. First the geometry of the karst conduits is simulated. Their geometry is controlled by the geology at large scale (geological model) and by the fracturation at smaller scale (stochastic model of fractures). Secondly, these geometrical models (3D geological formation together with conduits) are used as base...

Université de Neuchâtel

Geological stochastic imaging for aquifer characterization

Mariéthoz, Grégoire ; Renard, Philippe (Dir.)

Thèse de doctorat : Université de Neuchâtel, 2009 ; Th. 2105.

Accurately modeling connectivity of geological structures is critical for flow and transport problems. Using multiple-points simulations is one of the most advanced tools to produce realistic reservoir structures. It proceeds by considering data events (spatial arrangements of values) derived from a training image (TI). The usual method consists in storing all the data events of the TI in a...