A Paradigm Shift for Modeling and Operation of Oil and Gas: From Industry 4.0 in CPS to Industry 5.0 in CPSS
Xingxia Wang1,2; Yutong Wang2; Jing Yang1,2; Xiao Wang3; Zonglin Meng; Zhaohai Liu; Fei-Yue Wang
Source PublicationIEEE Transactions on Industrial Informatics
ISSN1551-3203
2024
Pages1-8
Corresponding AuthorWang, Yutong(yutong.wang@ia.ac.cn)
Abstract

Under the impetus of Industry 4.0, oil and gas is undergoing an unprecedented digital transformation, and many innovative ideas are proposed. However, the achieved higher efficiency comes at the expense of reduced social consideration, which necessitates more society-related research and calls for a technological paradigm shift. To meet this challenge, this article introduces parallel oil and gas within the framework of parallel intelligence-based Industry 5.0, providing a pivotal transition from cyber–physical systems (CPS) to cyber–physical–social systems (CPSS). A comprehensive review of oil and gas industrial chain that covers upstream, midstream, and downstream is first outlined. Grounded in Industry 5.0, the main principles of parallel oil and gas are then provided, where three kinds of workers (biological workers, digital workers, and robotic workers) and three operation modes (autonomous modes, parallel modes, and expert/emergency modes) collaborate to develop more human-oriented and resilient systems. To realize the desired vision, some enabling technologies, including blockchain, smart contracts, and industrial foundation models, are thereafter listed. Furthermore, computational experiments on fault diagnosis of sucker rod pumps are conducted to illustrate the feasibility and effectiveness of our proposed mechanism. Finally, the future trend toward imaginative intelligence is envisaged.

KeywordOils Fifth Industrial Revolution Production Fourth Industrial Revolution Biology Service robots Transportation Cyber-physical systems (CPS) cyber-physical-social systems (CPSS) Industry 4.0 Industry 5.0 parallel intelligence parallel oil and gas
DOI10.1109/TII.2024.3378848
WOS KeywordINTELLIGENCE ; CHATGPT
Indexed BySCI
Language英语
Funding ProjectNational Key Ramp;D Program of China
Funding OrganizationNational Key Ramp;D Program of China
WOS Research AreaAutomation & Control Systems ; Computer Science ; Engineering
WOS SubjectAutomation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS IDWOS:001201897000001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Sub direction classification人工智能+制造
planning direction of the national heavy laboratory实体人工智能系统感认知
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/57287
Collection多模态人工智能系统全国重点实验室_平行智能技术与系统团队
Corresponding AuthorYutong Wang
Affiliation1.the School of Artificial Intelligence, University of Chinese Academy of Sciences
2.the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences
3.the School of Artificial Intelligence, Anhui University
4.the Department of Civil and Environmental Engineering, University of California
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Xingxia Wang,Yutong Wang,Jing Yang,et al. A Paradigm Shift for Modeling and Operation of Oil and Gas: From Industry 4.0 in CPS to Industry 5.0 in CPSS[J]. IEEE Transactions on Industrial Informatics,2024:1-8.
APA Xingxia Wang.,Yutong Wang.,Jing Yang.,Xiao Wang.,Zonglin Meng.,...&Fei-Yue Wang.(2024).A Paradigm Shift for Modeling and Operation of Oil and Gas: From Industry 4.0 in CPS to Industry 5.0 in CPSS.IEEE Transactions on Industrial Informatics,1-8.
MLA Xingxia Wang,et al."A Paradigm Shift for Modeling and Operation of Oil and Gas: From Industry 4.0 in CPS to Industry 5.0 in CPSS".IEEE Transactions on Industrial Informatics (2024):1-8.
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