Multi-objective global and local Surrogate-Assisted optimization on polymer flooding

•An novel stochastic method is proposed to conduct multi-objective optimization.•Proxy-based optimization is involved to improve computational efficiency.•Two applications on polymer flooding cases are discussed and compared with other multi-objective methods. Oil production and polymer injection ar...

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Vydáno v:	Fuel (Guildford) Ročník 342; s. 127678
Hlavní autoři:	Zhang, Ruxin, Chen, Hongquan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.06.2023
Témata:	Generalized regression neural network Multi-objective optimization method Particle swarm optimization Radial basis function Uncertainty analysis Radial basis function Generalized regression neural network Multi-objective optimization method Particle swarm optimization Uncertainty analysis
ISSN:	0016-2361, 1873-7153
On-line přístup:	Získat plný text
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