Enhanced oil recovery (EOR) from mature oil fields presents unique challenges, as it requires well designed workflows for the injection of water, gas, or chemicals. Determining the optimal injection and production plan for mature fields can both maximize hydrocarbon recovery and reduce cost. This study proposes an integrated reservoir management workflow to improve oil recovery in mature oil fields in an ongoing field pilot research program. The workflow involves integration of traditional reservoir management methods with a real-time optimization approach. The early phase pilot research program management strategy is composed of several key components, including: improved reservoir characterization, generation of reservoir and simulation models, history matched simulation models, and development of a real time approach to optimize EOR reservoir peformance. The optimization strategy allows decision making at two different time scales: coarse and fine. At the coarse time scale, decisions are made about monthly injection and production rates over a time horizon from the decision making point into the distant future, aiming to optimize net present value (NPV). Various economic and technical constraints are included at both time scales. Field data from a conjoined five-spot well pattern, with two injectors and six surrounding producers, in a heterogeneous carbonate reservoir in the Permian Basin of west Texas is considered. Several realizations of a reservoir model were history-matched to field performance and subsequently used to predict and optimize future performance. The proposed workflow is being adopted within a current field pilot research program. The implementation of such a reservoir management plan allows operational decision making to be better informed and updated in real time. Assimilation of newly obtained data removes the cumbersome task of manually updating reservoir models to forecast field operations.

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