Article | Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden | Pressure wave propagation in Managed Pressure Drilling model comparison with real life data Linköping University Electronic Press Conference Proceedings
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Title:
Pressure wave propagation in Managed Pressure Drilling model comparison with real life data
Author:
Christian Berg: Department of Electrical Engineering, IT and Cybernetics, University of South-Eastern Norway, Norway / Kelda Drilling Controls, Norway Jon Åge Stakvik: Department of Engineering Cybernetics , Norwegian University of Science and Technology, Norway / Kelda Drilling Controls, Norway Bernt Lie: Department of Electrical Engineering, IT and Cybernetics, University of South-Eastern Norway, Norway Knut Vaagsaether: Department of Electrical Engineering, IT and Cybernetics, University of South-Eastern Norway, Norway Glenn-Ole Kaasa: Kelda Drilling Controls, Norway
DOI:
https://doi.org/10.3384/ecp2017091
Download:
Full text (pdf)
Year:
2019
Conference:
Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden
Issue:
170
Article no.:
014
Pages:
91-98
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2020-01-24
ISBN:
978-91-7929-897-5
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Drilling for oil and gas is a complex process, involving pumping of fluid through kilometers of pipes. Even though the drilling fluid has a high speed of sound (˜1000 m/s), the large lengths involved make pressure wave propagation significant in timescales where such phenomena can usually be neglected in other processes. Managed pressure drilling, a technological extension of conventional drilling, adds a choke on the return flow from the drilling process. Significant work has been done in recent years on creating a simplified model of the process, often by neglecting distributed dynamics, and using this for controller design. This paper compares the simplified model most often used, with a distributed partial differential equation (PDE) model and compare the performance with measured data for wave propagation while doing managed pressure drilling. Fluid structure interaction and theoretical vs recorded speed of sound are discussed.

Keywords: managed pressure drilling, PDE, wave propagation, FSI

Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden

Author:
Christian Berg, Jon Åge Stakvik, Bernt Lie, Knut Vaagsaether, Glenn-Ole Kaasa
Title:
Pressure wave propagation in Managed Pressure Drilling model comparison with real life data
DOI:
10.3384/ecp2017091
References:

Ulf Jakob F Aarsnes. Ole Morten Aamo, and Alexey Pavlov. Quantifying error introduced by ?nite order discretization of a hydraulic well model. In Control Conference (AUCC), 2012 2nd Australian, pages 54–59, Aarsnes2012, 2012. IEEE. ISBN 1-922107-63-8.

Ulf Jakob Flø Aarsnes, Martin Standal Gleditsch, Ole Morten Aamo, and Alexey Pavlov. Modeling and Avoidance of Heave-Induced Resonances in Offshore Drilling. SPE Drilling & Completion, 29(04):454–464, December 2014. doi:10.2118/173178-PA.

Henrik An?nsen and Ole Morten Aamo. Adaptive Output-Feedback Stabilization of 2 x 2 Linear Hyperbolic PDEs with Actuator and Sensor Delay. In 2018 26th Mediterranean Conference on Control and Automation (MED), pages 1–6, Zadar, June 2018. IEEE. ISBN 978-1-5386-7890-9. doi:10.1109/MED.2018.8442627.

José M Carcione and Flavio Poletto. Sound velocity of drilling mud saturated with reservoir gas. Geophysics, 65(2):646–651, 2000. ISSN 0016-8033.

Joel Carlsson. Water Hammer Phenomenon Analysis using the Method of Characteristics and Direct Measurements using a "stripped" Electromagnetic Flow Meter. Master Thesis, 2016.

Florent Di Meglio and Ulf Jakob Flø Aarsnes. A distributed parameter systems view of control problems in drilling. IFAC-PapersOnLine, 48(6):272–278, 2015.

Espen Hauge, Ole Morten Aamo, and John-Morten Godhavn. Model-based estimation and control of in/out-?ux during drilling. In American Control Conference (ACC), 2012, pages 4909–4914, Hauge2012mbe, 2012. IEEE. ISBN 1-4577-1095-1.

Glenn-Ole Kaasa, Øyvind N Stamnes, Ole Morten Aamo, and Lars S Imsland. Simpli?ed hydraulics model used for intelligent estimation of downhole pressure for a managed-pressure-drilling control system. SPE Drilling & Completion, 27(01):127–138, 2012. ISSN 1064-6671. doi:10.2118/143097-PA.

Erika Palacios G and Carlos Da Silva. A ?nite volume study for pressure waves propagation in a straight section of pipeline with caviation. The International Journal of Multiphysics, 7(4):259–270, December 2013. ISSN 1750-9548. doi:10.1260/1750-9548.7.4.259.

Jon Åge Stakvik, Christian Berg, Glenn-Ole Kaasa, Ole Morten Aamo, and Urs Lehner. Adaptive Model Based Choke Control System for MPD Operations. In SPE-179714-MS, SPE, April 2016. Society of Petroleum Engineers. ISBN 978-1-61399-446-7. doi:10.2118/179714-MS.

Jon Åge Stakvik, Christian Berg, Glenn-Ole Kaasa, Robert Graham, and Antonio Torrealba. Model-Based Control in Managed Pressure Drilling. In SPE/IADC Drilling Conference and Exhibition. Society of Petroleum Engineers, 2017. ISBN 1-61399-501-6.

Øyvind Nistad Stamnes, Jing Zhou, Glenn-Ole Kaasa, and Ole Morten Aamo. Adaptive observer design for the bottom-hole pressure of a managed pressure drilling system. In Decision and Control, 2008. CDC 2008. 47th IEEE Conference On, pages 2961–2966. IEEE, 2008. ISBN 1-4244-3123-9. doi:10.1109/CDC.2008.4738845.

Prabhata Swamee and Akalank K. Jain. Explicit equations for pipe-?ow problems. ASCE J Hydraul Div, 102:657–664, May 1976.

Henk Versteeg and W Malalasekera. An Introduction to Computational Fluid Dynamics: The Finite Volume Method / H. K. Versteeg and W. Malalasekera. April 2019.

Liubomyr Vytvytsky and Bernt Lie. Comparison of elastic vs. inelastic penstock model using OpenModelica. In The 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th – 27th, 2017, pages 20–28, September 2017. doi:10.3384/ecp1713820.

Jing Zhou, Ole Morten Aamo, and Glenn-Ole Kaasa. Switched control for pressure regulation and kick attenuation in a managed pressure drilling system. Control Systems Technology, IEEE Transactions on, 19(2):337–350, 2011. ISSN 1063-6536.

Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden

Author:
Christian Berg, Jon Åge Stakvik, Bernt Lie, Knut Vaagsaether, Glenn-Ole Kaasa
Title:
Pressure wave propagation in Managed Pressure Drilling model comparison with real life data
DOI:
https://doi.org10.3384/ecp2017091
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