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Jansen, J.D. (author), Durlofsky, L.J. (author)
Many aspects of reservoir management can be expected to benefit from the application of computational optimization procedures. The focus of this review paper is on well control optimization, which entails the determination of well settings, such as flow rates or bottom hole pressures, that maximize a particular objective function. As is the case...
journal article 2016
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Van Doren, J.F.M. (author), Van den Hof, P.M.J. (author), Bosgra, O.H. (author), Jansen, J.D. (author)
Reservoir simulation models are frequently used to make decisions on well locations, recovery optimization strategies etc. The success of these applications is, among other aspects, determined by the controllability and observability properties of the reservoir model. In this paper it is shown how the controllability and observability of two...
journal article 2013
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Vakili-Ghahani, S.A. (author), Jansen, J.D. (author)
From a system-theoretical point of view and for a given configuration of wells, there are only a limited number of degrees of freedom in the input–output dynamics of a reservoir system. This means that a large number of combinations of the state variables (pressure and saturation values) are not actually controllable and observable from the...
journal article 2011
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Zandvliet, M.J. (author), Van Doren, J.F.M. (author), Bosgra, O.H. (author), Jansen, J.D. (author), Van den Hof, P.M.J. (author)
Over the past few years, more and more systems and control concepts have been applied in reservoir engineering, such as optimal control, Kalman filtering, and model reduction. The success of these applications is determined by the controllability, observability, and identifiability properties of the reservoir at hand. The first contribution of...
journal article 2008
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