An intelligent monitoring system for a crude oil distillation column

Peter Osagie Omoarebun, David Sanders, Malik Haddad, Mohamed Hassan Sayed, Giles Tewkesbury, Khaled Giasin

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Abstract

    This paper describes an intelligent monitoring system for a crude oil distillation column. It proposes the use of multiple sensors to create a systematic way of monitoring, refining and detecting faults and anomalies. There can be sensor redundancy in a refinery and this research uses that redundancy for a crude distillation column to provide enough data and information to apply systemic methods and thinking and to create an intelligent monitoring system. The system uses real-time data from combinations of sensors used to observe crude refining to provide new information that would not be available from individual sensors. As an example, some sensor combinations are described for surveillance, to eliminate anomalies, and to improve monitoring with some intelligence.
    Original languageEnglish
    Title of host publication2020 IEEE 10th International Conference on Intelligent Systems (IS)
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages159-164
    ISBN (Electronic)978-1-7281-5456-5
    ISBN (Print)978-1-7281-5457-2
    DOIs
    Publication statusPublished - 18 Sept 2020
    Event2020 IEEE 10th International Conference on Intelligent Systems - Varna, Bulgaria
    Duration: 28 Aug 202030 Aug 2020

    Publication series

    NameIEEE IS Proceedings Series
    PublisherIEEE
    ISSN (Print)1541-1672

    Conference

    Conference2020 IEEE 10th International Conference on Intelligent Systems
    Country/TerritoryBulgaria
    CityVarna
    Period28/08/2030/08/20

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