Control Performance Monitoring of Excessive Oscillations of an Offshore Production Facility

Yingying ZHENG*, S. Joe QIN, Michael BARHAM

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

3 Citations (Scopus)


In remote operation of Offshore platforms, real time control systems must be well maintained for efficient and safe operations. Early detection of control and equipment performance degradation is critical and is the foundation for implementing higher level integrated optimization. Poor control performance is usually the result of undetected deterioration in control valves, inadequate performance monitoring, and poor tuning in the controllers. In this work, data-driven approaches to monitoring control performance are applied to an Offshore platform. The minimum variance control benchmark for single loops and the covariance benchmark for multi-loops are used to detect deteriorated control variables. The covariance benchmark is used to determine the directions with significantly worse performance versus the benchmark. To detect valve stiction, the Savitzky-Golay smoothing filter is combined with a curve fitting method. The Savitzky-Golay filter has the advantage of preserving features of the distribution such as relative maxima, minima and widths. A stiction index is used to indicate whether a valve stiction occurred. The OSIsoft PI system is suggested as the implementation platform. Real-time data can be exchanged between PI and MATLAB via OPC interface. © 2012 IFAC.
Original languageEnglish
Pages (from-to)25-32
Number of pages8
JournalIFAC Proceedings Volumes
Issue number8
Publication statusPublished - May 2012
Externally publishedYes
Event1st IFAC Workshop on Automatic Control of Offshore Oil and Gas Production, ACOOG 2012 - Trondheim, Norway
Duration: 31 May 20121 Jun 2012

Bibliographical note

ISBN: 9783902661999


  • Control performance monitoring
  • Oil production
  • Savitzky-Golay smoothing filter
  • Valve stiction detection


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