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Control of managed pressure drilling systems using nonlinear predictive generalized minimum variance approach based

Mohammad Amin Sheikhi1, Amirhossein Nikoofard1, Ali Khaki-Sedigh1

  • 1Advanced Process Automation and Control (APAC) Research Group, Industrial Control Center of Excellence, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran.

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|December 26, 2021
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Summary

This study introduces a new nonlinear predictive generalized minimum variance (NPGMV) control for managed pressure drilling (MPD) systems. The NPGMV controller effectively manages bottom-hole pressure and prevents reservoir kicks, outperforming existing methods.

Keywords:
Managed Pressure Drilling (MPD)Minimum variance controlNonlinear control systemsPredictive controlVolterra model

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Area of Science:

  • Petroleum Engineering
  • Control Systems Engineering
  • Automation Technology

Background:

  • Managed pressure drilling (MPD) systems require precise control to manage downhole conditions and prevent influxes.
  • Accurate system modeling is challenging due to uncertainties and disturbances in real-world drilling operations.

Purpose of the Study:

  • To develop and evaluate a robust nonlinear predictive generalized minimum variance (NPGMV) control scheme for MPD systems.
  • To enhance bottom-hole pressure regulation and improve kick handling capabilities during drilling operations.

Main Methods:

  • Identification of the MPD hydraulic flow model using an autoregressive second-order Volterra model via least-squares method.
  • Implementation of the NPGMV control scheme for automatic control and disturbance rejection.
  • Development of a switching mechanism for automatic transition to flow control mode during reservoir kick events.

Main Results:

  • The NPGMV controller successfully regulates bottom-hole pressure and prevents reservoir fluid influx.
  • The controller maintains bottom-hole pressure above reservoir pressure during critical scenarios like pipe connections.
  • Comparative analysis shows NPGMV control outperforms switching PI controllers in steady-state performance and robustness against heave and uncertainty.

Conclusions:

  • The proposed NPGMV control scheme offers a significant advancement in MPD system automation and safety.
  • The controller demonstrates superior performance in handling disturbances and ensuring wellbore integrity.
  • NPGMV control provides a robust and effective solution for complex drilling challenges.