Page 260 - Intelligent Digital Oil And Gas Fields

210 Intelligent Digital Oil and Gas Fields

Table 6.1 Selected (Meta)heuristic Optimization Methods With Main
Applications
Optimization
Metaheuristic Technique Application Reference
Evolutionary Single pareto Computer-assisted Ferraro and Verga (2009)
algorithms evolutionary history
(EA) algorithms matching
(SPEA) (AHM)
Genetic Field development Sambo et al. (2016) and
algorithms and production Gomez et al. (2009)
(GA) strategy
optimization
Evolution Well-placement Bouzarkouna et al. (2013)
strategies (ES) optimization
Multiobjective AHM Kam et al. (2016) and Fu
genetic Well-control and Wen (2017)
algorithms strategy
(MOGA)
Multi-island Reactive and Carvajal et al. (2014)
genetic proactive
algorithms control for smart
(MIGA) wells
Hybrid Genetic Production Salam et al. (2015)
Algorithms strategy
(HGA) a optimization
Support vector Injection Li et al. (2016)
machine allocation
(SVM) optimization
optimized by
GA
Particle swarm optimization AHM Arnold et al. (2016) and
(PSO) Mohamed et al. (2010b)
Drilling Self et al. (2016)
optimization
Well-placement Jesmani et al. (2015) and
and well-pattern Onwunalu and
optimization Durlofsky (2011)
Closed-loop field Shirangi and Durlofsky
development (2015)
b
optimization
Ant colony optimization (ACO) AHM Hajizadeh et al. (2009)
Simulated annealing (SA) Well-scheduling Beckner and Song (1995)
and placement
optimization