A Paradigm Shift for Modeling and Operation of Oil and Gas: From Industry 4.0 in CPS to Industry 5.0 in CPSS

• Published in: IEEE transactions on industrial informatics 2024-07, Vol.20 (7), p.9186-9193
• Main Authors: Wang, Xingxia, Wang, Yutong, Yang, Jing, Wang, Xiao, Meng, Zonglin, Liu, Zhaohai, Wang, Fei-Yue
• Format: Article
• Language: English
• Subjects: Biology; Cyber-physical systems; Cyber-physical systems (CPS); cyber–physical–social systems (CPSS); Effectiveness; Emergency procedures; Fault diagnosis; Fifth Industrial Revolution; Fourth Industrial Revolution; Gas industry; Industrial applications; Industry 4.0; Industry 5.0; Intelligence; parallel intelligence; parallel oil and gas; Petroleum industry; Production; Service robots; Social factors; Transportation
• ISSN: 1551-3203; 1941-0050
• DOI: 10.1109/TII.2024.3378848

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.