Optimization of WAG Process Using Dynamic Proxy, Genetic Algorithm and Ant Colony Optimization

The optimization of water alternating gas injection (WAG) process is a complex problem, which requires a significant number of numerical simulations that are time-consuming. Therefore, developing a fast and accurate replacing method becomes a necessity. Proxy models that are light mathematical model...

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Bibliographic Details
Published in:	Arabian journal for science and engineering (2011) Vol. 43; no. 11; pp. 6399 - 6412
Main Authors:	Nait Amar, Menad, Zeraibi, Nourddine, Redouane, Kheireddine
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01-11-2018 Springer Nature B.V
Subjects:	Ant colony optimization Artificial neural networks Combinatorial analysis Computer simulation Cycle ratio Engineering Gas injection Genetic algorithms Humanities and Social Sciences Hypercubes Mathematical models multidisciplinary Neural networks Research Article - Petroleum Engineering Robustness (mathematics) Science Simulators Time dependence Water flooding Water injection Ant colony optimization Global optimization Genetic algorithm WAG process Multi-objective optimization Artificial neural network Dynamic proxy
Online Access:	Get full text
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