Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models
- Junho Park (Brigham Young University) | Thomas Webber (Brigham Young University) | Reza Asgharzadeh Shishavan (Occidental Petroleum Corporation) | John D. Hedengren (Brigham Young University)
- Document ID
- Society of Petroleum Engineers
- SPE/IADC Drilling Conference and Exhibition, 14-16 March, The Hague, The Netherlands
- Publication Date
- Document Type
- Conference Paper
- 2017. SPE/IADC Drilling Conference and Exhibition
- 1.7.2 Managed Pressure Drilling, 6.1 HSSE & Social Responsibility Management, 1.7 Pressure Management, 1.7.5 Well Control, 6.1.5 Human Resources, Competence and Training, 1.6 Drilling Operations, 6 Health, Safety, Security, Environment and Social Responsibility, 3 Production and Well Operations, 1.10 Drilling Equipment
- Managed pressure drilling, Drilling automation, Wired drillpipe, Nonlinear model predictive control, Pressure control
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- 158 since 2007
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Wired Drillpipe (WDP) technology provides two-way and high speed measurements from bottom hole and along-string sensors. The data offered by WDP technology has maximum benefit when applied in an automation system or as a real-time advisory tool. Improved control is demonstrated for Managed Pressure Drilling (MPD) with the use of high-speed telemetry and physics-based models. Stabilizing and minimizing pressure within an acceptable bound leads to higher and more consistent Rate of Penetration (ROP).
MPD control is challenging due to tight pressure windows and the nonlinearity of the choke and pump response on Bottom Hole Pressure (BHP). This work demonstrates a new Hammerstein-Wiener nonlinear model predictive controller for BHP regulation in drilling. Hammerstein-Wiener models employ input and output static nonlinear blocks before and after linear dynamics blocks and thereby simplify the controller design. The control performance is evaluated in scenarios such as drilling, pipe connections, and kick attenuation. A physics-based drilling simulator, WeMod, is used for model identification and control performance evaluation.
The control performance of the new nonlinear controller is compared to conventional controllers in various scenarios. Because of the interconnected multivariable and nonlinear nature of the drilling operation, conventional controllers show severe limitations. In a first scenario, the performance of set point tracking during normal drilling operation is compared. By changing the set point of the BHP, the conventional controller manipulates only the choke valve opening while the nonlinear controller moves choke valve opening, mud pump, and back pressure pump simultaneously. In a second scenario, a pipe connection of a typical drillpipe stand is demonstrated. The conventional controller is not able to regulate the BHP by adjusting the choke valve only. Although a linear version of the controller is able to exploit multivariable relationships, absence of the nonlinear relationships results in severe oscillation when the operational range is shifted outside of the training region. The nonlinear controller maintains a BHP within ±1 bar of the requested set point. A third scenario investigates the kick attenuation performance of conventional and nonlinear control algorithms. The nonlinear controller attenuates the kick within well control conditions, without requiring a well shut-in procedure.
Recent advances in drilling simulators and the reliability of the WDP data highway have enabled tighter BHP control. This study presents a robust method to control BHP by applying Hammerstein-Wiener models in an efficient model predictive controller. The proposed methods have been validated in the downstream industry, but are applied for the first time to drilling with nonlinear control functionality. The multivariable control adjusts three main manipulated variables in MPD simultaneously.
|File Size||1 MB||Number of Pages||13|
Asgharzadeh Shishavan, Hedengren, J.D., Pixton, D.S.etal. "Multivariate Control for Managed Pressure Drilling Systems Using High Speed Telemetry, SPE Journal, SPE-170962, Published Online 7 Oct 2015, DOI: 10.2118/170962-PA.".
Stamnes, O. N., J. Zhou, G.-O. Kaasa. etal. (2008). Adaptive Observer Design for the Bottomhole Pressure of a Managed Pressure Drilling System. 47th IEEE Conference on Decision and Control, CDC 2008, December 9, 2008 - December 11, 2008, Cancun, Mexico, Institute of Electrical and Electronics Engineers Inc.