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An integrated machine learning-based approach to identifying controlling factors of unconventional shale productivity
发布时间:2023-03-08
ISSN号:1873-6785
卷、期、页:卷266
发表日期:2023-03-01
期刊分区(SCI为中科院分区):一区
收录情况:SCI(科学引文索引印刷版),SCIE(科学引文索引网络版)
发表期刊名称:Energy
参与作者:王友净,张冬梅,顾斐
第一作者:惠钢,CHEN ZHANGXING
论文类型:期刊论文
论文概要:惠钢,CHEN ZHANGXING,王友净,张冬梅,顾斐,An integrated machine learning-based approach to identifying controlling factors of unconventional shale productivity,Energy,2023,卷266
论文题目:An integrated machine learning-based approach to identifying controlling factors of unconventional shale productivity