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Université de Neuchâtel

Conditioning groundwater flow parameters with iterative ensemble smoothers : analysis and approaches in the continuous and the discrete cases

Lam, Dan-Thuy ; Renard, Philippe (Dir.) ; Kerrou, Jaouher (Codir.)

Thèse de doctorat : Université de Neuchâtel, 2019.

L’assimilation de données consiste à combiner de façon optimale les observations (données) et les prévisions produites par un modèle numérique d’un système dynamique étudié. Au cours de la dernière décennie, les méthodes basées sur le filtre de Kalman d’ensemble (EnKF) pour l’assimilation de données ont été particulièrement explorées dans diverses disciplines des...

Université de Neuchâtel

A geostatistical approach to the simulation of stacked channels

Rongier, G ; Collon, P ; Renard, Philippe

In: Marine and Petroleum Geology, 2017, vol. 82, p. 318-335

Turbiditic channels evolve continuously in relation to erosion-deposition events. They are often gathered into complexes and display various stacking patterns. These patterns have a direct impact on the connectivity of sand-rich deposits. Being able to reproduce them in stochastic simulations is thus of significant importance. We propose a geometrical and descriptive approach to stochastically...

Université de Neuchâtel

Stochastic simulation of channelized sedimentary bodies using a constrained L-system

Rongier, G ; Collon, P ; Renard, Philippe

In: Computers & Geosciences, 2017, vol. 105, p. 158-168

Simulating realistic sedimentary bodies while conditioning all the available data is a major topic of research. We present a new method to simulate the channel morphologies resulting from the deposition processes. It relies on a formal grammar system, the Lindenmayer system, or L-system. The L-system puts together channel segments based on user-defined rules and parameters. The succession of...

Université de Neuchâtel

Statistical metrics for the characterization of karst network geometry and topology

Collon, P ; Bernasconi, D ; Vuilleumier, C ; Renard, Philippe

In: Geomorphology, 2017, vol. 283, p. 122-142

Statistical metrics can be used to analyse the morphology of natural or simulated karst systems; they allow describing, comparing, and quantifying their geometry and topology. In this paper, we present and discuss a set of such metrics. We study their properties and their usefulness based on a set of more than 30 karstic networks mapped by speleologists. The data set includes some of the largest...

Université de Neuchâtel

On the use of multiple-point statistics to improve groundwater flow modeling in karst aquifers : A case study from the Hydrogeological Experimental Site of Poitiers, France

Le Coz, M ; Bodin, J ; Renard, Philippe

In: Journal of Hydrology, 2017, vol. 545, p. 109-119

Limestone aquifers often exhibit complex groundwater flow behaviors resulting from depositional heterogeneities and post-lithification fracturing and karstification. In this study, multiple-point statistics (MPS) was applied to reproduce karst features and to improve groundwater flow modeling. For this purpose, MPS realizations were used in a numerical flow model to simulate the responses to...