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Renard, Philippe
Nom
Renard, Philippe
Affiliation principale
Fonction
Directeur de Recherche
Email
Philippe.Renard@unine.ch
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Résultat de la recherche
6 Résultats
Voici les éléments 1 - 6 sur 6
- PublicationAccès libreA Karst Probability Map for the Western Mountain Aquifer (Israel & West Bank) using a stochastic modeling approach(2021-4-13)
; Engelhardt, Irina - PublicationAccès libreOptimisation issues in 3D multiple-point statistics simulation(: Julián M. Ortiz and Xavier Emery, Mining Engineering Department, University of Chile., 2008-12)
; ; Multiple-point statistics simulation has gained wide acceptance in recent years and is routinely used for simulating geological heterogeneity in hydrocarbon reservoirs and aquifers. In classical implementations, the multiple-point statistics inferred from the reference training image are stored in a dynamic data structure called search tree. The size of this search tree depends on the search template used to scan the training image and the number of facies to be simulated. In 3D applications this size can become prohibitive. One promissing avenue for drastically reducing the RAM requirements consists of using dynamically allocated lists instead of search trees to store and retrieve the multiple–point statistics. Each element of this list contains the identification of the data event together with occurence counters for each facies. First results show that implementing this list based approach results in reductions of RAM requirement by a factor 10 and more. The paper discusses in detail this novel list based approach, presents RAM and CPU performance comparisons with the (classical) tree based approach. - PublicationAccès libreConditioning facies simulations with connectivity data(2008-1-10)
; Caers, Jef - PublicationAccès libreGrid-enabled Simulation of the Impact of Exploitation Uncertainty on the Seawater Intrusion of the Korba Aquifer (Tunisia)(: IIMC International Information Management Corporation, 2007-1-10)
; - PublicationAccès libreGIM(Groimdwater Integrated Modelling). The hydrogeological compiler(2007-1-10)
; ; - PublicationAccès libreA dynamic model of the Aral Sea water and salt balanceThe Aral Sea is shrinking rapidly since the 1960s mainly because of the diversion of the Amu Darya and Syr Darya rivers for irrigation purposes. Since then, the evaporation became the most important component of the water balance of the Sea and led to a concentration of the remaining salts. In this article, we investigate through a coupled mathematical model of water and salt balance of the Aral Sea, the dynamic evolution of the sea. The water balance considers river inflow, groundwater inflow, atmospheric precipitation and evaporation. The salt balance considers the dominant ions and the chemical precipitation of gypsum, epsomite and mirabilite. The evaporation rates are calculated with a modified Penman equation accounting for the salinity of the lake and using statistical climatic data. With this model, we obtain an estimate of the evaporation flux (between 1100 and more than 1200 mm/year depending on the salinity) larger than earlier estimates. The estimated groundwater discharge into the sea is also larger than earlier estimates and is highly variable from year to year. The last point is that the model is able to simulate rather well the evolution of the salinity until the 1980s, but it does not reproduce accurately the chemical evolution of the lake during the most recent period and needs further improvements. (C) 2004 Elsevier B.V. All fights reserved.