A Scoping Review of Pipeline Maintenance Methodologies Based on Industry 4.0

Jose E. Naranjo, Gustavo Caiza, Rommel Velastegui, Maritza Castro, Andrea Alarcon-Ortiz and Marcelo V. Garcia ()
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Jose E. Naranjo: Faculty of Systems, Electronic, and Industrial Engineering, Universidad Tecnica de Ambato, UTA, Ambato 180103, Ecuador
Gustavo Caiza: Electronics and Automation Career, Universidad Politecnica Salesiana, UPS, Quito 170146, Ecuador
Rommel Velastegui: Faculty of Systems, Electronic, and Industrial Engineering, Universidad Tecnica de Ambato, UTA, Ambato 180103, Ecuador
Maritza Castro: Faculty of Systems, Electronic, and Industrial Engineering, Universidad Tecnica de Ambato, UTA, Ambato 180103, Ecuador
Andrea Alarcon-Ortiz: Instituto Superior Tecnológico Tungurahua, ISTT, Ambato 180108, Ecuador
Marcelo V. Garcia: Faculty of Systems, Electronic, and Industrial Engineering, Universidad Tecnica de Ambato, UTA, Ambato 180103, Ecuador

Sustainability, 2022, vol. 14, issue 24, 1-22

Abstract: The fourth industrial revolution was a milestone at the industrial level. It forced most industries to evolve technically and for their collaborators to prepare and advance together with technology; the oil industry was no exception. It develops its activities in dangerous and dynamic environments and needs to protect its human resources, equipment, and infrastructure. This article presents a scoping review, based on the PRISMA guidelines, of pipeline maintenance methodologies based on Industry 4.0. From the first collection of 123 articles from prestigious databases such as SpringerLink, MDPI, Scopus, IEEEXplore and ACM, a final sample of 31 articles was obtained. Here, technologies that enhance preventive and predictive maintenance systems are discussed. The results show that predictive maintenance compared to preventive maintenance has a percentage difference in upkeep time optimization of 38% in the last five years. This difference was corroborated with a Student’s t -test for independent samples, with a significance of 0.023. Likewise, the most used technologies were analyzed, with artificial intelligence standing out with 45.16%.

Keywords: scoping review; oil industry; 4.0 maintenance; Industry 4.0; pipelines; digitization; digital technologies (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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