A Comprehensive Review of the Fourth Industrial Revolution IR 4.0 in Oil and Gas Industry

C. Temizel, C. H. Canbaz, Hakki Aydin, Bahar F. Hosgor, Deniz Yagmur Kayhan, Raul Moreno
{"title":"A Comprehensive Review of the Fourth Industrial Revolution IR 4.0 in Oil and Gas Industry","authors":"C. Temizel, C. H. Canbaz, Hakki Aydin, Bahar F. Hosgor, Deniz Yagmur Kayhan, Raul Moreno","doi":"10.2118/205772-ms","DOIUrl":null,"url":null,"abstract":"\n Digital transformation is one of the most discussed themes across the globe. The disruptive potential arising from the joint deployment of IoT, robotics, AI and other advanced technologies is projected to be over $300 trillion over the next decade. With the advances and implementation of these technologies, they have become more widely-used in all aspects of oil and gas industry in several processes. Yet, as it is a relatively new area in petroleum industry with promising features, the industry overall is still trying to adapt to IR 4.0. This paper examines the value that Industry 4.0 brings to the oil and gas upstream industry. It delineates key Industry 4.0 solutions and analyzes their impact within this segment. A comprehensive literature review has been carried out to investigate the IR 4.0 concept's development from the beginning, the technologies it utilizes, types of technologies transferred from other industries with a longer history of use, robustness and applicability of these methods in oil and gas industry under current conditions and the incremental benefits they provide depending on the type of the field are addressed. Real field applications are illustrated with applications indifferent parts of the world with challenges, advantages and drawbacks discussed and summarized that lead to conclusions on the criteria of application of machine learning technologies.","PeriodicalId":10970,"journal":{"name":"Day 1 Tue, October 12, 2021","volume":"2007 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 1 Tue, October 12, 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/205772-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Digital transformation is one of the most discussed themes across the globe. The disruptive potential arising from the joint deployment of IoT, robotics, AI and other advanced technologies is projected to be over $300 trillion over the next decade. With the advances and implementation of these technologies, they have become more widely-used in all aspects of oil and gas industry in several processes. Yet, as it is a relatively new area in petroleum industry with promising features, the industry overall is still trying to adapt to IR 4.0. This paper examines the value that Industry 4.0 brings to the oil and gas upstream industry. It delineates key Industry 4.0 solutions and analyzes their impact within this segment. A comprehensive literature review has been carried out to investigate the IR 4.0 concept's development from the beginning, the technologies it utilizes, types of technologies transferred from other industries with a longer history of use, robustness and applicability of these methods in oil and gas industry under current conditions and the incremental benefits they provide depending on the type of the field are addressed. Real field applications are illustrated with applications indifferent parts of the world with challenges, advantages and drawbacks discussed and summarized that lead to conclusions on the criteria of application of machine learning technologies.
第四次工业革命在油气工业中的应用综述
数字化转型是全球讨论最多的主题之一。未来十年,物联网、机器人、人工智能和其他先进技术联合部署所产生的颠覆性潜力预计将超过300万亿美元。随着这些技术的进步和实施,它们已经越来越广泛地应用于油气行业的各个方面。然而,由于它是石油行业中一个相对较新的领域,具有广阔的前景,整个行业仍在努力适应工业革命4.0。本文探讨了工业4.0给油气上游行业带来的价值。它描述了关键的工业4.0解决方案,并分析了它们在该细分市场中的影响。本文进行了全面的文献综述,从一开始就研究了工业革命4.0概念的发展,它所使用的技术,从其他行业转移过来的技术类型,具有更长的使用历史,这些方法在当前条件下在石油和天然气行业的稳稳性和适用性,以及它们根据油田类型提供的增量效益。真实的现场应用是通过世界不同地区的应用来说明的,讨论和总结了挑战、优势和缺点,从而得出了机器学习技术应用标准的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信