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The field of petroleum reservoir engineering provides interesting challenges for model-based control and optimization. The development of operational strategies for optimizing petroleum production over the life time of a reservoir requires the maximum use of modelling, data-analysis and assimilation, and multi time-scale optimization of nonlinear large-scale systems on the basis of uncertain information.
In oil production waterflooding is a popular recovery technology, which involves the injection of water into an oil reservoir. Studies on model-based dynamic optimization of waterflooding strategies have demonstrated that there is a significant potential to increase life-cycle performance, determined using an economic objective function. However, in these studies the additional desire of many oil...
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