Distance-based Parameterisation and History Matching

The aim of this work is to use a distance-based ensemble representation of the uncertainty in a reservoir model in order to map the problem to a feature space, and use this mapping in combination with some history-matching technique, in order to better preserve and estimate the realism required in the different geological features.

Data assimilation in reservoir management

The research presented in this thesis aims at improving computer models that allow simulations of water, oil and gas flows in subsurface petroleum reservoirs. This is done by integrating, or assimilating, measurements into physics-bases models. In recent years petroleum technology has developed rapidly. Nowadays wells can be drilled to a depth...