Regular Article
A Genetic Algorithm Integrated with Monte Carlo Simulation for the Field Layout Design Problem
1
Federal University of Ceará, Operational Research in Production and Logistics Laboratory, Campus do Pici,
Bl. 714,
Fortaleza,
CE,
60.440-900, Brazil
2
Federal University of Ceará, Department of Industrial Engineering, Operational Research in Production and Logistics Laboratory, Campus do Pici,
Bl. 714,
Fortaleza,
CE,
60.440-554, Brazil
* Corresponding author: leonardosales@alu.ufc.br
Received:
14
October
2017
Accepted:
23
April
2018
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.
© L.d.P.A. Sales et al., published by IFP Energies nouvelles, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
