Relevant publications

Below is a list of relevant theses and publications from research that forms the basis for our technology.

PhD Theses

H. Bansal, Structure-preserving model order reduction for drilling automation, PhD Thesis, Technische Universiteit Eindhoven, 2020.

S. Naderilordejani, Model reduction for infinite-dimensional systems: with application to managed pressure drilling, PhD Thesis, Technische Universiteit Eindhoven, 2020.

M.H. Abbasi, Modeling and Order Reduction for Hydraulics Simulation in Managed Pressure Drilling, PhD Thesis, Technische Universiteit Eindhoven, 2020.

N. Velmurugan, Distributed dynamics of influx during MPD operations : modelling and estimation, PhD Thesis, Mines ParisTech, 2020.

C. Berg, Modeling for Automatic Control and Estimation of Influx and Loss During Drilling Operations, PhD Thesis, University of South-Eastern Norway, 2020.

H. Holta, Kick & Loss Detection and Estimation using Distributed Models, PhD Thesis, Norwegian University of Science and Technology, 2020.

M.H. Jondahl, Data Driven Models for Estimation of Drilling Fluid Rheological Properties and Flow Rate, PhD Thesis, University of South-Eastern Norway, 2020.

A. Jinasena, Models and Estimators for Flow of Topside Drilling Fluid, PhD Thesis, University of South-Eastern Norway, 2019.

P. Welahettige, Transient drilling fluid flow in Venturi channels: comparing 3D and 1D models to experimental data, PhD Thesis, University of South-Eastern Norway, 2019.

K. Chhantyal, Sensor Data Fusion based Modelling of Drilling Fluid Return Flow through Open Channels, PhD Thesis, University of South-Eastern Norway, 2019.

U. J. F. Aarsnes, Modeling of two-phase flow for estimation and control of drilling operations, PhD Thesis, Norwegian University of Science and Technology, 2016.

E. Hauge, “Automatic Kick Detection and Handling in Managed Pressure Drilling Systems,” PhD Thesis, Norwegian University of Science and Technology, 2013.

Ø. N. Stamnes, “Nonlinear Estimation with Applications to Drilling,” PhD Thesis, Norwegian University of Science and Technology, 2011.

F. Di Meglio, “Dynamics and control of slugging in oil production,” PhD Thesis, Mines ParisTech, 2011.

Publications

L. Camacho-Solorio, N. Velmurugan, F. D. Meglio, M. Krstic, Observer Design for a Coupled ODE-PDE System from a Wellbore Reservoir Drilling Model, in: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019: pp. 3086–3091. https://doi.org/10.1109/CDC40024.2019.9029250.

S.N. Lordejani, M.H. Abbasi, N. Velmurugan, C. Berg, J.Å. Stakvik, B. Besselink, L. Iapichino, F. Di Meglio, W.H.A. Schilders, N. van de Wouw, Modeling and Numerical Implementation of Managed-Pressure-Drilling Systems for the Assessment of Pressure-Control Systems, SPE Drilling & Completion. 35 (2020) 598–619. https://doi.org/10.2118/201108-PA.

M.H. Abbasi, S. Naderi Lordejani, C. Berg, L. Iapichino, W.H.A. Schilders, N. Wouw, An approximate well‐balanced upgrade of Godunov‐type schemes for the isothermal Euler equations and the drift flux model with laminar friction and gravitation, Int J Numer Meth Fluids. (2020) fld.4921. https://doi.org/10.1002/fld.4921.

P. Welahettige, C. Berg, J. Lundberg, B. Lie, K. Vaagsaether, Computational Fluid Dynamics Study of the Effects of Drill Cuttings on the Open Channel Flow, International Journal of Chemical Engineering. 2019 (2019) 1–9. https://doi.org/10.1155/2019/6309261.

C. Berg, J.Å. Stakvik, S. Kulikov, M. Badrawi, G.-O. Kaasa, A. Dubovtsev, S. Korolev, G. Veliyev, Automated Pressure Control for UBD Operations: Case Study and Field Validation, SPE Drilling & Completion. (2019). https://doi.org/10.2118/194555-PA.

C. Berg, G.A. Evjen, N. Velmurugan, M. Culen, The Influx-Management Envelope Considering Real-Fluid Behavior, SPE Drilling & Completion. (2019). https://doi.org/10.2118/198916-PA.

C. Berg, J.Å. Stakvik, B. Lie, K. Vaagsaether, G.-O. Kaasa, Pressure wave propagation in Managed Pressure Drilling- model comparison with real life data, in: Proceedings of the 60th Conference on Simulation and Modelling (SIMS 59), Linköping University Electronic Press, University of Västerås, Västerås, Sweden, August 13th–15th: p. 8. https://doi.org/ecp2017091.

M.H. Abbasi, S. Naderi Lordejani, N. Velmurugan, C. Berg, L. Iapichino, W.H.A. Schilders, N. van de Wouw, A Godunov-type Scheme for the Drift Flux Model with Variable Cross Section, Journal of Petroleum Science and Engineering. 179 (2019) 796–813. https://doi.org/10.1016/j.petrol.2019.04.089.

J.A. Stakvik, C. Berg, G.-O. Kaasa, O.M. Aamo, Cascaded bottom hole pressure control in managed pressure drilling, in: 2017 IEEE Conference on Control Technology and Applications (CCTA), IEEE, Mauna Lani Resort, HI, USA, 2017: pp. 2001–2007. https://doi.org/10.1109/CCTA.2017.8062748.

J.Å. Stakvik, C. Berg, G.-O. Kaasa, R. Graham, A. Torrealba, Model-Based Control in Managed Pressure Drilling, in: Society of Petroleum Engineers, 2017.

J. Å. Stakvik, C. Berg, G.-O. Kaasa, O.M. Aamo, U. Lehner, Adaptive Model Based Choke Control System for MPD Operations, in: SPE-179714-MS, Society of Petroleum Engineers, SPE, 2016. https://doi.org/10.2118/179714-MS.

V. de Oliveira, J. Jäschke, and S. Skogestad, “An autonomous approach for driving systems towards their limit: an intelligent adaptive anti-slug control system for production maximization,” presented at the IFAC Workshop on Automatic Control in Offshore Oil and Gas Production, 2015, pp. 104–112.

C. Berg, A. Malagalaga, C. E. Agu, G.-O. Kaasa, K. Vaagsaether, and B. Lie, “Model-based drilling fluid flow rate estimation using Venturi flume,” presented at the IFAC Workshop on Automatic Control in Offshore Oil and Gas Production, 2015, pp. 1–6.

U. J. F. Aarsnes, F. Di Meglio, O. M. Aamo, and G.-O. Kaasa, “Fit-for-Purpose Modeling for Automation of Underbalanced Drilling Operations,” presented at the SPE/IADC Managed Pressure Drilling and Underbalanced Operations Conference and Exhibition, Madrid, 2014.

U. J. F. Aarsnes, M. S. Gleditsch, O. M. Aamo, and A. Pavlov, “Modeling and Avoidance of Heave-Induced Resonances in Offshore Drilling,” SPE Drilling & Completion, vol. 29, no. 4, pp. 454–464, 2014.

A. Willersrud, L. S. Imsland, G.-O. Kaasa, and A. Pavlov, “A Framework for Fault Diagnosis in Managed Pressure Drilling Applied to Flow-Loop Data,” presented at the IFAC International ymposium on dynamics and control of process systems, 2013, pp. 625–630.

I. S. Landet, O. M. Aamo, and A. Pavlov, “Modeling and Control of Heave-Induced Pressure Fluctuations in Managed Pressure Drilling,” Control Systems Technology, IEEE Transactions on, vol. 21, no. 4, pp. 1340–1351, Jul. 2013.

J.-M. Godhavn, A. Pavlov, and G.-O. Kaasa, “New Automatic Control Solutions for the Drilling Industry,” Transactions on control of mechanical systems, vol. 2, no. 2, pp. 61–69, Feb. 2013.

E. Lavretsky and K. Wise, Robust and Adaptive Control. Springer Science & Business Media, 2012.

U. J. F. Aarsnes, O. M. Aamo, E. Hauge, and A. Pavlov, “Limits of Controller Performance in the Heave Disturbance Attenuation Problem*,” presented at the The European Control Conference, 2012, pp. 1–7.

G.-O. Kaasa, Ø. N. Stamnes, L. S. Imsland, and O. M. Aamo, “Simplified Hydraulics Model Used for Intelligent Estimation of Downhole Pressure for a Managed-Pressure-Drilling Control System,” SPE Drilling & Completion, vol. 27, no. 1, pp. 127–138, Mar. 2012.

F. Di Meglio, N. Petit, V. Alstad, and G.-O. Kaasa, “Stabilization of slugging in oil production facilities with or without upstream pressure sensors,” Journal of Process Control, vol. 22, no. 4, pp. 809–822, 2012.

A. Pavlov and G.-O. Kaasa, “Statoil: Automatic MPD a coming reality,” Drilling contractor, no. July/August, pp. 1–1, Jul. 2011.

Ø. N. Stamnes, O. M. Aamo, and G.-O. Kaasa, “Adaptive Redesign of Nonlinear Observers,” IEEE Transactions on Automatic Control, vol. 56, no. 5, pp. 1152–1157, Jan. 2011.

J.-M. Godhavn, A. Pavlov, G.-O. Kaasa, and N. L. Rolland, “Drilling seeking automatic control solutions,” presented at the IFAC World Congress of Automatic Control, Milano, Italy, 2011, pp. 10842–10850.

Ø. N. Stamnes, G.-O. Kaasa, and O. M. Aamo, “Adaptive estimation of downhole pressure for Managed Pressure Drilling operations,” IEEE International Symposium on Intelligent Control (ISIC), pp. 989–995, Jan. 2011.

Z. Li, N. Hovakimyan, and G.-O. Kaasa, “Fast estimation and ℒ 1 adaptive control for bottomhole pressure in managed pressure drilling,” Intelligent Control (ISIC), pp. 996–1001, 2011.

A. Pavlov, G.-O. Kaasa, and L. S. Imsland, “Experimental Disturbance Rejection on a Full-Scale Drilling Rig,” IFAC Symposium on Nonlinear Control Systems (NOLCOS), pp. 1338–1343, Jan. 2010.

F. Di Meglio, G.-O. Kaasa, and N. Petit, “A first principle model for multiphase slugging flow in vertical risers,” presented at the 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC), 2009, vol. 6, pp. 8244–8251.

J. Zhou, O. N. Stamnes, O. M. Aamol, and G.-O. Kaasa, “Observer-based control of a managed pressure drilling system,” presented at the 2008 Chinese Control and Decision Conference (CCDC), 2008, pp. 3475–3480.

Ø. N. Stamnes, “Adaptive Observer for Bottomhole Pressure During Drilling,” Master thesis, Norwegian University of Science and Technology, 2007.

*Citation format: Journal of Computational Physics