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http://repositorio.ufc.br/handle/riufc/67008| Type: | Artigo de Periódico |
| Title: | A genetic algorithm integrated with Monte Carlo simulation for the field layout design problem |
| Authors: | Sales, Leonardo de Pádua Agripa Pitombeira Neto, Anselmo Ramalho Prata, Bruno de Athayde |
| Keywords: | Oil and gas production;Monte Carlo simulation;Genetic algorithm |
| Issue Date: | 2018 |
| Publisher: | Revue d'IFP Energies nouvelles |
| Citation: | 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 |
| Abstract in Brazilian Portuguese: | 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 |
| Appears in Collections: | DEPR - Artigos publicados em revistas científicas |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2018_art_arpitombeira-neto.pdf | 3,87 MB | Adobe PDF | View/Open |
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