Recent progress and new developments of applications of artificial intelligence (AI), knowledge-based systems (KBS), and Machine Learning (ML) in the petroleum industry

被引：8

作者：

Tontiwachwuthikul P.P. ^{[1
]}

Chan C.W. ^{[2
]}

Zeng F.B. ^{[3
]}

Liang Z.H. ^{[4
]}

Sema T. ^{[5
]}

Min C. ^{[6
]}

机构：

[1] Canadian Academy of Engineering (FCAE), Clean Energy Technologies Research Institute (CETRi), University of Regina, SK

[2] Canadian Academy of Engineering (FCAE), Canada Research Chair Tier I in Energy and Environmental Informatics (2006-2020), Energy Informatics Laboratory, University of Regina, SK

[3] Faculty of Graduate Studies and Research, University of Regina, SK

[4] Joint International Center for CO2 Capture & Storage (iCCS), Hunan University, Changsha, 410082, Hunan

[5] Sustainable Multiphase ARtificial-intelligence Technology (SMART) Laboratory, Department of Chemical Technology, Chulalongkorn University, Bangkok

[6] Institute for Artificial Intelligence, Southwest Petroleum University, Chengdu

来源：

Petroleum | 2020年 / 6卷 / 04期

关键词：

Petroleum industry - Learning systems;

D O I：

10.1016/j.petlm.2020.08.001

中图分类号：

TP182 [专家系统、知识工程];

学科分类号：

1111 ;

摘要：

[No abstract available]

引用

页码：319 / 320

页数：1