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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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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
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Van Doren, J. (author), Markovinovic, R. (author), Jansen, J.D. (author)
During the design of development concepts for the exploitation of oil and gas reservoirs, frequent use is made of numerical simulation of the flow of multi-phase fluids through porous rock. Recently, increased attention has been paid to systematic optimization of well positions and operating parameters (rates, pressures) over the life of the...
conference paper 2006
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Van Doren, J. (author), Markovinovic, R. (author), Jansen, J.D. (author)
During the design of development concepts for the exploitation of oil and gas reservoirs, frequent use is made of numerical simulation of the flow of multi-phase fluids through porous rock. Recently, increased attention has been paid to systematic optimization of well positions and operating parameters (rates, pressures) over the life of the...
conference paper 2006
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