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	Numerical simulation and optimization of CO2enhanced shale gas recovery using a genetic algorithm (EI收录)
	Liu, Danqing[1,2]; Agarwal, Ramesh[2]; Li, Yilian[1]
刊名	Journal of Cleaner Production
	2017
卷号	164页码:1093-1104
关键词	Carbon dioxide Environmental technology Gas emissions Gases Genetic algorithms Numerical models Optimization Recovery Shale Shale gas Well stimulation
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2184146
专题	华南理工大学
作者单位	1.[1] School of Environmental Studies, China University of Geosciences, Wuhan 2.430074, China 3.[2] Washington University in St. Louis, 1 Brookings Dr., St. Louis 4.MO 5.63128, United States
推荐引用方式 GB/T 7714	Liu, Danqing[1,2],Agarwal, Ramesh[2],Li, Yilian[1]. Numerical simulation and optimization of CO2enhanced shale gas recovery using a genetic algorithm (EI收录)[J]. Journal of Cleaner Production,2017,164:1093-1104.
APA	Liu, Danqing[1,2],Agarwal, Ramesh[2],&Li, Yilian[1].(2017).Numerical simulation and optimization of CO2enhanced shale gas recovery using a genetic algorithm (EI收录).Journal of Cleaner Production,164,1093-1104.
MLA	Liu, Danqing[1,2],et al."Numerical simulation and optimization of CO2enhanced shale gas recovery using a genetic algorithm (EI收录)".Journal of Cleaner Production 164(2017):1093-1104.

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