“Using MPC for Managed Pressure Drilling”

Authors: Johannes Møgster, John-Morten Godhavn and Lars Imsland,
Affiliation: NTNU, Department of Engineering Cybernetics and Statoil
Reference: 2013, Vol 34, No 3, pp. 131-138.

Keywords: Model predictive control, Managed pressure drilling, Step-response models

Abstract: As production on the Norwegian shelf enters tail production, drilling wells with vanishing pressure windows become more attractive. This motivates use of automatic control systems for improved control of downhole pressure using Managed Pressure Drilling (MPD) techniques. PID SISO control solutions for MPD are by now relatively standard, and well understood. This article explores the potential benefits of using linear Model Predictive Control (MPC) for MPD. It is shown that in combination with wired drill pipe, the downhole pressure can be controlled at multiple locations in the open wellbore, by using both pumps and choke in applied backpressure MPD. Also, downhole pressure constraints (pore and fracture pressures) fit naturally in MPC. Illustrative simulations are presented from using a high fidelity well simulator called WeMod, and Statoil's MPC software SEPTIC.

PDF PDF (332 Kb)        DOI: 10.4173/mic.2013.3.3

DOI forward links to this article:
[1] Qin Li and Mina Kamel (2016), doi:10.1016/j.ifacol.2016.07.401
[2] Anirudh Nandan and Syed Imtiaz (2016), doi:10.1016/j.ifacol.2016.07.268
[3] Anirudh Nandan and Syed Imtiaz (2017), doi:10.1016/j.isatra.2017.03.013
[4] Al Amin, Syed Imtiaz, Aziz Rahman and Faisal Khan (2018), doi:10.1016/j.isatra.2018.12.008
[5] Junho Park, Cameron Price, David Pixton, Manuel Aghito, Roar Nybø, Knut Bjørkevoll and John D. Hedengren (2020), doi:10.1016/j.isatra.2020.05.035
[6] Njal Tengesdal and Christian Holden (2020), doi:10.4173/mic.2020.3.3
[7] M. Musab Habib, Syed Imtiaz, Faisal Khan, Salim Ahmed and Justin Baker (2020), doi:10.2118/203819-PA
References:
[1] Breyholtz, O. (2008). Nonlinear Model Predictive Pressure Control during Drilling Operations, Master thesis, NTNU.
[2] Breyholtz, O. (2011). Managed Pressure Drilling: Improved Pressure Control through Model Predictive Control, Ph.d. thesis, UiS.
[3] Breyholtz, O. and Nygaard, G. (2009). Deep water drilling: Full pressure profile control in open hole section using model predictive control, International Petroleum Technology Conference. doi:10.2523/13256-MS
[4] Godhavn, J.-M., Pavlov, A., Kaasa, G.-O., and Rolland, N. (2011). Drilling seeking automatic control solutions, IFAC World Congress Milano (Italy). pages 10842--10850. doi:10.3182/20110828-6-IT-1002.00551
[5] Hannegan, D. (2006). Case studies - offshore managed pressure drilling, SPE Annual Technical Conference and Exhibition, 24-27 September 2006, San Antonio, Texas, USA. doi:10.2118/101855-MS
[6] Kaasa, G.-O., Stamnes, N., Aamo, O., and Imsland, L. (2012). Simplified hydraulics model used for intelligent estimation of downhole pressure for a managed-pressure-drilling control system, SPE Drilling and Completion. 27(1):127--138. doi:10.2118/143097-PA
[7] Maciejowski, J.M. (2002). Predictive Control with Constraints, Pearson Education. ISBN 0-201-39823-0.
[8] Mogster, J. (2013). Using MPC for Managed Pressure Drilling, Master thesis, NTNU.
[9] Nocedal, J. and Wright, S.J. (2006). Numerical Optimization (2, edition). Springer. ISBN 978-0387-30303-1.
[10] Rehm, B., Schubert, J., Haghshenas, A., Paknejad, A., and Hughes, J. (2008). Managed Pressure Drilling, Gulf Publishing Company, Houston, Texas. ISBN 1-933762-24-1.
[11] Strand, S. and Sagli, J. (2003). MPC in Statoil - Advantages with In-house Technology, Symposium of Advanced Control of Chemical Processes (Adchem-2003), Hong Kong, China.


BibTeX:
@article{MIC-2013-3-3,
  title={{Using MPC for Managed Pressure Drilling}},
  author={Møgster, Johannes and Godhavn, John-Morten and Imsland, Lars},
  journal={Modeling, Identification and Control},
  volume={34},
  number={3},
  pages={131--138},
  year={2013},
  doi={10.4173/mic.2013.3.3},
  publisher={Norwegian Society of Automatic Control}
};