Intégration de modèles approchés pour mieux transmettre l’impact des incertitudes statiques sur les courbes de réponse des simulateurs d’écoulements

Abstract : Although it is common to use many different numerical models for the static description of underground reservoirs and their associated uncertainties, for fluid flow uncertainties through these reservoirs only few dynamic simulations can be used due to performance reasons. The objective of this thesis’ work is to better transmit the impact of static uncertainties on flow simulator’s responses without increasing computation time, using approximated models (proxies). Research has been undertaken in 2 directions: -Implementation of new proxies based on Fast Marching in order to better approach fluid propagation behavior in a reservoir using only a few parameters. This allows to obtain response curves close to those provided by the flow simulator in a very short period of time -Set up a mathematical minimization’s procedure in order to predict flow simulator’s response curves using an analytical model and distances between proxy responses computed on every model. The methods developed during this PhD have been applied on two different real cases in order to validate them with industry data. Results have shown that our new proxy improve the quality of the information about fluid behavior compared to the available proxy even though ours can still be improved. We also highlight that our minimization procedure better assesses dynamic uncertainties if the proxy used is reliable enough
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Gaétan Bardy. Intégration de modèles approchés pour mieux transmettre l’impact des incertitudes statiques sur les courbes de réponse des simulateurs d’écoulements. Sciences de la Terre. Université de Lorraine, 2015. Français. ⟨NNT : 2015LORR0253⟩. ⟨tel-01754538⟩

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