AI-Based Maintenance Scheduling for Offshore Oil and Gas Platforms

Waqas Khalid, Iman Soleymani, Niels H. Mortensen, Kristoffer V. Sigsgaard

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    There is extensive literature on scheduling approaches and scheduling in the area of maintenance. However, there is a lack of literature in using Artificial Intelligence (AI) approaches in the area of maintenance schedule, specifically, in offshore oil and gas platforms. This paper fills this gap by introducing AI-based maintenance scheduling.Maintenance scheduling in a large complex engineering system is hard as money is at stake due to the risk of failures. This is why companies use both computers and humans to make decisions and design executable schedules. This paper uses AI-based heuristic algorithms and a large neighborhood search (LNS) method for maintenance schedule in such an environment, where human interaction is required to make decisions. The successful implementation results show that the use of AI-based maintenance scheduling is a viable option for maintenance scheduling. The paper shows that the use of heuristic algorithms combined with LNS can perform maintenance scheduling tasks in a much more time efficient than a human-based planning. Hence, this has large industrial implications in the future.
    Original languageEnglish
    Title of host publication2021 Annual Reliability and Maintainability Symposium (RAMS)
    Number of pages6
    PublisherIEEE
    Publication date2021
    ISBN (Electronic)978-1-7281-8017-5
    DOIs
    Publication statusPublished - 2021
    EventAnnual Symposium on Reliability and Maintainability - Rosen Plaza Hotel, Orlando, United States
    Duration: 24 May 202127 May 2021

    Conference

    ConferenceAnnual Symposium on Reliability and Maintainability
    LocationRosen Plaza Hotel
    Country/TerritoryUnited States
    CityOrlando
    Period24/05/202127/05/2021

    Keywords

    • Large neighborhood search
    • LNS
    • Artificial intelligence
    • AI
    • Maintenance
    • Scheduling

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