A genetic algorithm integrated with Monte Carlo simulation for the field layout design problem

Use este identificador para citar ou linkar para este item: http://repositorio.ufc.br/handle/riufc/67008

Tipo:	Artigo de Periódico
Título:	A genetic algorithm integrated with Monte Carlo simulation for the field layout design problem
Autor(es):	Sales, Leonardo de Pádua Agripa Pitombeira Neto, Anselmo Ramalho Prata, Bruno de Athayde
Palavras-chave:	Oil and gas production;Monte Carlo simulation;Genetic algorithm
Data do documento:	2018
Instituição/Editor/Publicador:	Revue d'IFP Energies nouvelles
Citação:	PITOMBEIRA-NETO, A.R. et al. A genetic algorithm integrated with Monte Carlo simulation for the field layout design problem. Revue d'IFP Energies nouvelles, v. 73, p. 1-16, 2018
Resumo:	Oil and gas production is moving deeper and further offshore as energy companies seek new sources, making the field layout design problem even more important. Although many optimization models are presented in the revised literature, they do not properly consider the uncertainties in well deliverability. This paper aims at presenting a Monte Carlo simulation integrated with a genetic algorithm that addresses this stochastic nature of the problem. Based on the results obtained, we conclude that the probabilistic approach brings new important perspectives to the field development engineering.
URI:	http://www.repositorio.ufc.br/handle/riufc/67008
ISSN:	1294-4475
Aparece nas coleções:	DEPR - Artigos publicados em revistas científicas

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