Hierarchical Surrogate-Assisted Evolutionary Algorithm for Integrated Multi-Objective Optimization of Well Placement and Hydraulic Fracture Parameters in Unconventional Shale Gas Reservoir

Hierarchical Surrogate-Assisted Evolutionary Algorithm for Integrated Multi-Objective Optimization of Well Placement and Hydraulic Fracture Parameters in Unconventional Shale Gas Reservoir

Integrated optimization of well placement and hydraulic fracture parameters in naturally fractured shale gas reservoirs is of significance to enhance unconventional hydrocarbon energy resources in the oil and gas industry. However, the optimization task usually presents intensive computation-cost du...

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Bibliographic Details
Main Authors: Jun Zhou, Haitao Wang, Cong Xiao, Shicheng Zhang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Energies
Subjects:
shale gas reservoir
horizontal well optimization
machine-learning surrogate
evolutionary algorithm
Online Access:https://www.mdpi.com/1996-1073/16/1/303

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https://www.mdpi.com/1996-1073/16/1/303

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