CORC  > 中国石油大学(北京)
Permeability prediction from mercury injection capillary pressure curves by partial least squares regression method in tight sandstone reservoirs
刊名JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
2018
卷号169页码:135-145
关键词Permeability Mercury injection capillary pressure curve Partial least squares regression Tight sandstone reservoirs
ISSN号0920-4105
DOI10.1016/j.petrol.2018.05.020
URL标识查看原文
收录类别SCIE
WOS记录号WOS:000440428800013
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/6260260
专题中国石油大学(北京)
推荐引用方式
GB/T 7714
. Permeability prediction from mercury injection capillary pressure curves by partial least squares regression method in tight sandstone reservoirs[J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,2018,169:135-145.
APA (2018).Permeability prediction from mercury injection capillary pressure curves by partial least squares regression method in tight sandstone reservoirs.JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,169,135-145.
MLA "Permeability prediction from mercury injection capillary pressure curves by partial least squares regression method in tight sandstone reservoirs".JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING 169(2018):135-145.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace