Journal article ยท Conference paper
Early pack-off diagnosis in drilling using an adaptive observer and statistical change detection
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
Language: | English |
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Publisher: | Elsevier BV |
Year: | 2015 |
Pages: | 177-182 |
Proceedings: | 2nd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production |
ISSN: | 24058963 and 24058971 |
Types: | Journal article and Conference paper |
DOI: | 10.1016/j.ifacol.2015.08.028 |
ORCIDs: | Blanke, Mogens |