Model-based choke and pump control design with superior performance and dependability:
- Robust, uniform performance in the full operating range, ensuring safe operation by non-experts
- Inherent fault-detection for enhanced dependability
Downhole well pressure estimation based on fit-for-purpose hydraulic model:
- Robust solution which can be set up and operated by non-experts
- Robust handling of variations in operating conditions by smarter utilization of models and measurements
- Self-calibrating to PWD and wired drillpipe (when available)
- Early detection of failures and downhole errors
Model-based algorithm which enables earlier detection and fewer false alarms; detecting symptoms of downhole incidents before they evolve into a well control event:
- Accounts for transient drill string and fluid behavior
- Utilization of new sensors for density and flow rate (when available)
Kelda is conducting significant research and development internally and together with external partners from both industry and academia. Most of the research is partly funded through national funding agencies. Kelda is an approved SKATTEfunn company for two larger internal research projects.
Some of the research programs that Kelda is involved in are listed below:
Kelda-NTNU, "Adaptive model-based control of downhole pressure during drilling operations" (Project no. 241636)
Kelda-HiT, "Modelling for automatic control and estimation of influx and loss during drilling operations" (Project no. 241586)
EU-Horizon 2020 project
"HYDRA - HYdraulics modelling for DRilling Automation" - 3 Industrial PhD's. A research project between Eindhoven Technical University (TU/e), Mines Paristech and Kelda. Check out the HYDRA project page for more information.
"Intelligent trykkstyring boring". Project no 242391
"Kelda Drilling Simulator". Project no 242195
"Sanntids-estimering av pore- og oppsprekningstrykk". Project no. 238595
In addition, Kelda is involved in the following competence project proposals (KPN):
Straume - software for calculating dynamic pressure profile.
Below is a list of relevant publications from research that forms the basis for our technology.
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.
E. Hauge, “Automatic Kick Detection and Handling in Managed Pressure Drilling Systems,” Ph.D. dissertation, Norwegian University of Science and Technology, 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.
F. Di Meglio, “Dynamics and control of slugging in oil production,” Ph.D. dissertation, Mines ParisTech, 2011.
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, “Nonlinear Estimation with Applications to Drilling,” PhD dissertation, Norwegian University of Science and Technology, 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.