Optimization of the Oil Production Fields Submitted the Water Injection, Using the Algorithm NSGA-II

This paper presents the implementation of a system based on genetic algorithm multiobjective optimizer NSGA-II (Non-Dominated Sorting Genetic Algorithm), which offers a decision support tool and automates the search for alternatives to the development of the oilfield submitted to water injection process. Each alternative refers to how an oil field, known and defined, is put into production, that is, with respect to the determination of number and the disposition of producers wells and injectors in the field. The implementation of the algorithm is to find the production settings, in the long run, which provide the highest net present value (VPL), obtained from the initial investment cost, the price of oil, oil production and operation costs paid during the production time, thus increasing the production of oil in the field, reducing operating costs and the time in the decision-making process.