Adaptive observer for kick detection and switched control for bottomhole pressure regulation and kick attenuation during managed pressure drilling

Control of the annulus pressure during drilling of oil and gas wells can be a challenging task, due to the complex dynamics of the multiphase flow. Since well kicks and fluid losses are potentially dangerous, it is important to improve the performance and the capabilities of estimation and control and to initiate an automatic well control system. Novel adaptive observers for estimation the flow rates through the well are developed for kick and loss detection, and asymptotic convergence properties are established. A switched control algorithm for feedback control of the choke and the back-pressure pump is proposed for pressure control and kick attenuation and asymptotic convergence is achieved. A new observer is developed to estimate the reservoir pore pressure for improved kick management. Simulation results obtained with a high fidelity drilling simulator are presented to demonstrate the effectiveness of the proposed observer and control scheme. The results show that the proposed observers effectively detect kicks in the early phase and that the automatic control scheme improves the kick handling.

[1]  Jing Zhou,et al.  Pressure regulation with kick attenuation in a managed pressure drilling system , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[2]  John-Morten Godhavn,et al.  Evaluating control designs for co-ordinating pump rates and choke valve during managed pressure drilling operations , 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).

[3]  G. Nygaard,et al.  Modelling two-phase flow for control design in oil well drilling , 2005, Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005..

[4]  N. P. Brown,et al.  Slimhole Early Kick Detection by Real-Time Drilling Analysis , 1997 .

[5]  S. I. Stokka,et al.  Gas Kick Warner - An Early Gas Influx Detection Method , 1993 .

[6]  Helio Santos,et al.  Micro-Flux Control: The Next Generation in Drilling Process for Ultra-deepwater , 2003 .

[7]  J. M. Speers,et al.  Delta Flow: An Accurate, Reliable System for Detecting Kicks and Loss of Circulation During Drilling , 1987 .

[8]  Jing Zhou,et al.  Switched Control for Pressure Regulation and Kick Attenuation in a Managed Pressure Drilling System , 2011, IEEE Transactions on Control Systems Technology.

[9]  Lars Imsland,et al.  USING NMPC BASED ON A LOW-ORDER MODEL FOR CONTROLLING PRESSURE DURING OIL WELL DRILLING , 2007 .

[10]  Don M. Hannegan,et al.  MPD - Uniquely Applicable to Methane Hydrate Drilling , 2004 .

[11]  Daniel Liberzon,et al.  Switching in Systems and Control , 2003, Systems & Control: Foundations & Applications.

[12]  Sigbjørn Sangesland,et al.  Managed Pressure Drilling for Subsea Applications; Well Control Challenges in Deep Waters , 2004 .

[13]  Celso Kazuyuki Morooka,et al.  Kick Detection in Floating Drilling Rigs , 1997 .

[14]  Michael Nikolaou,et al.  Performing the Dynamic Shut-In Procedure Because of a Kick Incident When Using Automatic Coordinated Control of Pump Rates and Choke-Valve Opening , 2008 .

[15]  Rolf Johan Lorentzen,et al.  Tuning of Computer Model Parameters in Managed-Pressure Drilling Applications Using an Unscented-Kalman-Filter Technique , 2010 .

[16]  John-Morten Godhavn Control Requirements for High-End Automatic MPD Operations , 2009 .

[17]  Jing Zhou,et al.  Adaptive observer design for the bottomhole pressure of a managed pressure drilling system , 2008, 2008 47th IEEE Conference on Decision and Control.

[18]  Jing Zhou,et al.  Adaptive output feedback control of a managed pressure drilling system , 2008, 2008 47th IEEE Conference on Decision and Control.

[19]  David Hargreaves,et al.  Early Kick Detection for Deepwater Drilling: New Probabilistic Methods Applied in the Field , 2001 .

[20]  Helio Santos,et al.  Kick Detection and Control in Oil-based Mud: Real Well Test Results Using Micro-Flux Control Equipment , 2007 .

[21]  Olav Gerhard Haukenes Nygaard,et al.  Multivariable process control in high temperature and high pressure environment using non-intrusive multi sensor data fusion , 2006 .

[22]  Michael Nikolaou,et al.  Improved Kick Management During MPD by Real-Time Pore-Pressure Estimation , 2010 .