ABSTRACT
A two-stage stochastic model is presented aiming to enhance the decision process of designing a production system. The optimization methodology integrates the production planning with the decisions of surface and subsea systems, screening out the initial capital expenditures of the main facilities and the equipment, the project revenue, and the system concept. The probabilistic knowledge of three scenarios of oil production allows to change the nature of the previous discrete model to an uncertainty decision-dependent model. The efficiency of the proposed stochastic mixed integer linear programming model is demonstrated using a realistic case study and a validation process.
