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Nonlinear model predictive control of a Hammerstein Weiner model based experimental managed pressure drilling setup
Al Amin1, Syed Imtiaz1, Aziz Rahman1
1Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St.John's, NL A1B 3X5, Canada.
ISA Transactions
|December 26, 2018
Summary
This study demonstrates a nonlinear model predictive controller (NMPC) for managed pressure drilling (MPD). The NMPC effectively maintains bottomhole pressure and mitigates kicks, outperforming traditional controllers.
Area of Science:
- Petroleum Engineering
- Control Systems Engineering
- Drilling Technology
Background:
- Managed Pressure Drilling (MPD) is crucial for optimizing wellbore stability and preventing drilling hazards.
- Kick events, or reservoir influx, pose significant risks during drilling operations.
- Existing control systems may struggle with dynamic changes in drilling conditions.
Purpose of the Study:
- To design and implement a Nonlinear Model Predictive Controller (NMPC) for a pilot-scale MPD system.
- To maintain constant bottomhole pressure (BHP) under normal conditions and mitigate reservoir influx (kicks).
- To compare the NMPC performance against a Proportional-Integral (PI) controller.
Main Methods:
- Utilized a Hammerstein Weiner nonlinear model for accurate pressure prediction.
- Employed a genetic optimization algorithm to determine optimal control inputs.
- Implemented a control strategy that switches between pressure regulation and flow control modes.
Main Results:
- The NMPC successfully maintained constant BHP during normal operations.
- The controller effectively mitigated gas kick scenarios by balancing pump and choke flow.
- NMPC demonstrated superior performance compared to PI control, especially during frequent flow demand changes and pump failure.
Conclusions:
- The developed NMPC is a robust and effective solution for MPD operations.
- NMPC enhances safety and efficiency by reliably managing BHP and mitigating kicks.
- This advanced control strategy offers significant advantages over conventional methods in dynamic drilling environments.
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