Adaptive constraint-guided surrogate enhanced evolutionary algorithm for horizontal well placement optimization in oil reservoir

In the face of escalating global energy demands, this study introduces an Adaptive Constraint-Guided Surrogate Enhanced Evolutionary Algorithm (ACG-EBS) for optimizing horizontal well placements in oil reservoirs. Addressing the complex challenge of maximizing oil production, the ACG-EBS integrates...

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Vydáno v:	Computers & geosciences Ročník 194; s. 105740
Hlavní autoři:	Dai, Qinyang, Zhang, Liming, Wang, Peng, Zhang, Kai, Chen, Guodong, Chen, Zhangxing, Xue, Xiaoming, Wang, Jian, Liu, Chen, Yan, Xia, Liu, Piyang, Wu, Dawei, Qin, Guoyu, Liu, Xingyu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.01.2025
Témata:	Adaptive constraint management algorithms energy evolution Evolutionary optimization Horizontal well placement optimization horizontal wells oil fields Oil reservoir development oils Surrogate model Adaptive constraint management Surrogate model Horizontal well placement optimization Oil reservoir development Evolutionary optimization
ISSN:	0098-3004
On-line přístup:	Získat plný text
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