Optimization models for petroleum field exploitation

This paper presents a mixed integer programming model for op- timal development of an oil field under uncertain future oil price. Based on a two-dimensional reservoir description, the model sug- gests decisions concerning both design and operation, and the objective is to maximize the expected net present value of the oil field. A finite set of oil price scenarios with associated prob- abilities is given, and the scenario and policyaggregation tech- nique developed by Rockafellar and Wets is used for solving the problem. This technique is developed for the case of continu- ous variables, and in this paper we discuss different methods for adapting the scenario aggregation approach to the case of mixed integer problems. This is done by utilizing the interaction be- tween the continuous (production) and integer (design) variables. We present numerical experiments, and conclude that scenario aggregation may be a suitable technique also for mixed integer problems. lAccepted for publication in Journal of the Operational Research Society ~ 101 102 Oil Field Optimization under Price Uncertainty

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