Introduction
The problem of selecting alternatives for the development of an oil field consists of finding the suitable number of production and injection wells and their suitable locations in the field. This is basically an optimization problem, since one wishes to find the alternative that offers the highest NPV. In order to solve this problem, this project makes use of evolutionary algorithms: genetic algorithms [1] [2] [3] [4], cultural algorithms [5] [6] and coevolutionary algorithms [7]. Optimization systems were developed and tested using these optimization algorithms [8] [9] [10].
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Emerick, A.A., Valdivia, Y.J.T., Almeida, L.F., Pacheco, M.A.C., Vellasco, M.M.B.R., Portella, R.C.M. (2009). Intelligent Optimization System for Selecting Alternatives for Oil Field Exploration by Means of Evolutionary Computation. In: Pacheco, M.A.C., Vellasco, M.M.B.R. (eds) Intelligent Systems in Oil Field Development under Uncertainty. Studies in Computational Intelligence, vol 183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93000-6_4
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