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Publications
Silva, L.M.R. and Guedes Soares, C. (2022), “A stochastic programming model for designing an offshore production system”, Trends in Maritime Technology and Engineering, Guedes Soares, C. & Santos T.A. (Eds.), Taylor and Francis, London, UK, Vol. 2, pp. 545-552.
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 main advantage in considering the problem stochastically is the flexibility of delaying part of the decisions of the system according to the realization of uncertainty. The efficiency of the proposed stochastic mixed integer linear programming model is demonstrated using a realistic case study and a validation process.
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