Abstract
Global escalating energy demand for oil leads to mounting attention to seek rational oilfield exploitation method. Most studies had been done to plan the oil exploitation by optimal model under the deterministic environment. However, real problems are full of uncertainties. In this paper, we format a fuzzy goal programming model in the light of fuzzy effect of oil stimulation measures. In order to solve this model, fuzzy simulation, TOPSIS and genetic algorithm are integrated to compose a hybrid intelligent algorithm. Finally, a numerical example is presented to illustrate the effectiveness of the proposed model and solution algorithm.
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© 2009 Springer-Verlag Berlin Heidelberg
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Chen, X., Ji, Xy. (2009). Fuzzy Goal Programming Model and Algorithm for Oilfield Development. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_143
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DOI: https://doi.org/10.1007/978-3-642-03664-4_143
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03663-7
Online ISBN: 978-3-642-03664-4
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