MACHADO, E. C. M. N.; MACHADO, Érica Cristine Medeiros Nobre.
Resumo:
The optimization of the operation in oil pipeline networks is essential to guarantee the
attendance of constraints and to maximize the efficiency of the operational objectives, in
order to draw out its useful life while keeping the oil production in the requirements of
quantity and quality with rationality of the costs of electric energy. The use of computational
optimization models for solving this type of problem, allows to offer a more rational
operation, diminishing the subjectivity, the risks of imperfections and the conflicts that
generally occur when this operation are made decentralized and based solely in the experience
acquired in field. Genetic algorithms have been used to optimize these systems, and it
detaches for its robust nature, that allows associating its effectiveness and efficiency
characteristics. Recently, has been developed various multi-objective genetic algorithms,
which treat more reliability complex problems which need simultaneous optimization of
diverse objectives. This work analyzes the incorporation of diverse techniques and in the
Strength Pareto Evolutionary Algorithm 2, with the intention of increase its efficiency and
becoming applicable to the problem of pump scheduling in oil pipeline network. The
incorporated alternatives surround the use of the technique of seeding, of knowledge for
repair and discarding of infeasible solutions, the integration of the concept of viability with
the dominance criteria, the introduction of knowledge in the reproduction operators, among
others. The experiments are based in a small part of the pumping network of “Unidade de
Negócios de Exploração e Produção do Rio Grande do Norte e Ceará”, of PETROBRAS, and
the results show an efficient and applicable methodology to the problem, which generates
good alternatives for the pump scheduling, for a period of 24 hour, in a skillful time.
