Abstract
This paper proposes a novel economic requirements-oriented online tuning strategy for MPC, the design of which encompasses the well-known operational particularities of oil production wells with ESP installations, e.g. operational envelope, maximization of oil production, minimization of power consumption, and profit maximization. The proposed tuning strategy is based on an online receding horizon optimization framework that can interact with RTO layers and different MPC techniques in a computation time appropriate for real-time implementations. The benefits of the proposed method are demonstrated by a case study that investigates different tuning requirements applied to provide an optimal ESP-lifted operation. It shows that using economic goals for MPC tuning problems is an effective way to achieve improved ESP-lifted oil operation.
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