A Genetic Algorithm Integrated with Monte Carlo Simulation for the Field Layout Design Problem

A Genetic Algorithm Integrated with Monte Carlo Simulation for the Field Layout Design Problem

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 deliverabi...

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Main Authors: Sales Leonardo de Pádua Agripa, Pitombeira-Neto Anselmo Ramalho, Prata Bruno de Athayde
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:Oil & Gas Science and Technology
Online Access:https://doi.org/10.2516/ogst/2018017
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spelling doaj-9d7cbd2b9f884d0c96adf5531aa7ee5b2021-02-02T02:42:12ZengEDP SciencesOil & Gas Science and Technology1294-44751953-81892018-01-01732410.2516/ogst/2018017ogst170166A Genetic Algorithm Integrated with Monte Carlo Simulation for the Field Layout Design ProblemSales Leonardo de Pádua AgripaPitombeira-Neto Anselmo RamalhoPrata Bruno de AthaydeOil 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.https://doi.org/10.2516/ogst/2018017
collection DOAJ
language English
format Article
sources DOAJ
author Sales Leonardo de Pádua Agripa
Pitombeira-Neto Anselmo Ramalho
Prata Bruno de Athayde
spellingShingle Sales Leonardo de Pádua Agripa
Pitombeira-Neto Anselmo Ramalho
Prata Bruno de Athayde
A Genetic Algorithm Integrated with Monte Carlo Simulation for the Field Layout Design Problem
Oil & Gas Science and Technology
author_facet Sales Leonardo de Pádua Agripa
Pitombeira-Neto Anselmo Ramalho
Prata Bruno de Athayde
author_sort Sales Leonardo de Pádua Agripa
title A Genetic Algorithm Integrated with Monte Carlo Simulation for the Field Layout Design Problem
title_short A Genetic Algorithm Integrated with Monte Carlo Simulation for the Field Layout Design Problem
title_full A Genetic Algorithm Integrated with Monte Carlo Simulation for the Field Layout Design Problem
title_fullStr A Genetic Algorithm Integrated with Monte Carlo Simulation for the Field Layout Design Problem
title_full_unstemmed A Genetic Algorithm Integrated with Monte Carlo Simulation for the Field Layout Design Problem
title_sort genetic algorithm integrated with monte carlo simulation for the field layout design problem
publisher EDP Sciences
series Oil & Gas Science and Technology
issn 1294-4475
1953-8189
publishDate 2018-01-01
description 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.
url https://doi.org/10.2516/ogst/2018017
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AT pitombeiranetoanselmoramalho ageneticalgorithmintegratedwithmontecarlosimulationforthefieldlayoutdesignproblem
AT pratabrunodeathayde ageneticalgorithmintegratedwithmontecarlosimulationforthefieldlayoutdesignproblem
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AT pitombeiranetoanselmoramalho geneticalgorithmintegratedwithmontecarlosimulationforthefieldlayoutdesignproblem
AT pratabrunodeathayde geneticalgorithmintegratedwithmontecarlosimulationforthefieldlayoutdesignproblem
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