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document
Barros, E.G.D. (author), Van den Hof, P.M.J. (author), Jansen, J.D. (author)
This paper proposes a new methodology to perform value of information (VOI) analysis within a closed-loop reservoir management (CLRM) framework. The workflow combines tools such as robust optimization and history matching in an environment of uncertainty characterization. The approach is illustrated with two simple examples: an analytical...
journal article 2015
document
Kahrobaei, S. (author), Mansoori, M. (author), Joosten, G.J.P. (author), Van den Hof, P.M.J. (author), Jansen, J.D. (author)
It is well known that parameter updating of large-scale numerical reservoir flow models (a.k.a. ‘computer assisted history matching’) is an ill-posed inverse problem. Typically the number of uncertain parameters in a reservoir flow model is very large whereas the available information for estimating these parameters is limited. The classic...
conference paper 2014
document
Kaleta, M.P. (author), Hanea, R.G. (author), Heemink, A.W. (author), Jansen, J.D. (author)
Gradient-based history matching algorithms can be used to adapt the uncertain parameters in a reservoir model using production data. They require, however, the implementation of an adjoint model to compute the gradients, which is usually an enormous programming effort. We propose a new approach to gradient-based history matching which is based...
journal article 2010