SPE Journal
Volume 15,
Number 3,
September 2010,
pp. 856-866
Summary
To manage the annular pressure profile during managed-pressure drilling
(MPD) operations, simulations performed with advanced computer models are
needed. To obtain a high degree of accuracy in these simulations, it is crucial
that all parameters describing the system are as correct as possible. A new
methodology for real-time updating of key parameters in a well-flow model by
taking into account real-time measurements, including measuring uncertainty, is
presented. Key model parameters are tuned using a recently developed estimation
technique based on the traditional Kalman filter.
The presented methodology leads to a more-accurate prediction of well-flow
scenarios. Although the present study is motivated by applications in MPD, the
idea of tuning model parameters should be of great importance in a wide area of
applications.
The performance of the filter is studied, using both synthetic data and real
measurements from a North Sea high-pressure/high-temperature (HP/HT) drilling
operation. Benefits by this approach are seen in more-accurate
downhole-pressure predictions, which are of major importance for safety and
economic reasons during MPD operations.
© 2010. Society of Petroleum Engineers
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History
- Original manuscript received:
15 July 2005
- Meeting paper published:
13 October 2005
- Revised manuscript received:
30 July 2009
- Manuscript approved:
20 November 2009
- Published online:
22 April 2010
- Version of record:
22 September 2010