Early pack-off diagnosis in drilling using an adaptive observer and statistical change detection

Anders Willersrud, Lars Imsland, Mogens Blanke

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    Abstract

    Pack-off is a partially or complete blocking of the circulation flow in oil and gas drilling, which can lead to costly delays. Early detection and localization of a pack-off is crucial in order to take necessary actions avoiding downtime. This incident will affect physical friction parameters in the well. A model-based adaptive observer is used to estimate these friction parameters as well as flow rates. Detecting changes to these estimates can then be used for pack-off diagnosis, which due to measurement noise is done using statistical change detection. Isolation of incident type and location is done using a multivariate generalized likelihood ratio test, determining the change direction of the estimated mean values. The method is tested on simulated data from the commercial high-fidelity multi-phase simulator OLGA, where three different pack-offs at different locations and with different magnitudes are successfully detected at an early stage and with low false alarms
    Original languageEnglish
    Book seriesIFAC-PapersOnLine
    Volume48
    Issue number6
    Pages (from-to)177–182
    ISSN2405-8963
    DOIs
    Publication statusPublished - 2015
    Event2nd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production - Florianópolis, Brazil
    Duration: 27 May 201529 May 2015
    Conference number: 2
    https://www.sciencedirect.com/journal/ifac-papersonline/vol/48/issue/6

    Conference

    Conference2nd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production
    Number2
    Country/TerritoryBrazil
    CityFlorianópolis
    Period27/05/201529/05/2015
    Internet address

    Keywords

    • Fault diagnosis
    • Adaptive observer
    • Multivariate statistical change detection
    • Oil and gas drilling
    • Pack-off

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