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

作　　者：Paitoon(PT)Tontiwachwuthikul Christine W.Chan Fanhua(Bill)Zeng Zhiwu(Henry)Liang Teerawat Sema Chao Min 

机构地区：[1]Canadian Academy of Engineering(FCAE),Clean Energy Technologies Research Institute(CETRi),University of Regina,SK,Canada [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,Canada [3]Faculty of Graduate Studies and Research,University of Regina,SK,Canada [4]Joint International Center for CO2 Capture&Storage(iCCS),Hunan University,Changsha,Hunan,410082,China [5]Sustainable Multiphase ARtificial-intelligence Technology(SMART)Laboratory,Department of Chemical Technology,Chulalongkorn University,Bangkok,Thailand [6]Institute for Artificial Intelligence,Southwest Petroleum University,Chengdu,China

出　　处：《Petroleum》2020年第4期I0001-I0002,共2页油气（英文）

摘　　要：Over the past two decades,broad-based and intense efforts have been devoted to apply concepts and methodologies from information technology(IT)and artificial intelligence(AI)to informatics research related to energy and environmental systems.Both academic research and industrial practices have generated an impressive amount of literature,which spans virtually every aspect of synergistic work among these disciplines.Informatics and systems analysis techniques are now being widely used by the practicing engineers and scientists to solve a broad range of problems in the petroleum industry.Speaking at the World Economic Forum at Davos Switzerland in 2017,Ginni Rometty,IBM′CEO at that time(now Executive Chairperson of IBM),described AI's role in the partnership between humans and machines as“augmented cognition.”In other words,AI not only supports but augments human cognition so that humans can be more efficient and“do a better job”[1,2].This should also be true and very beneficial for the petroleum industry.

关 键 词：devoted PETROLEUM KNOWLEDGE 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]