Multivariate Control for Managed-Pressure-Drilling Systems by Use of High-Speed Telemetry
- Reza Asgharzadeh Shishavan (Brigham Young University) | Casey Hubbell (Brigham Young University) | Hector D. Perez (Brigham Young University) | John D. Hedengren (Brigham Young University) | David S. Pixton (National Oilwell Varco IntelliServ) | Anthony P. Pink (National Oilwell Varco)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- April 2016
- Document Type
- Journal Paper
- 459 - 470
- 2016.Society of Petroleum Engineers
- kick attenuation, penetration rate optimization, multivariate control, drilling automation, wired drillpipe
- 2 in the last 30 days
- 269 since 2007
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With the recent advance in high-speed data communication offered by wired-drillpipe (WDP) telemetry, it is now possible to design automated control systems that directly use downhole data (e.g., pressure) to optimize drilling procedures. This research couples drilling hydraulics, rate of penetration (ROP), and rotational-speed (rev/min) control into a single controller for managed-pressure-drilling (MPD) systems. This novel multivariate controller improves drilling performance during normal drilling operations and enhances safety during abnormal drilling conditions such as unwanted gas-influx situations.
New advances in drilling automation have made the closed-loop control of downhole weight on bit (WOB) and drillstring rotational speed (rev/min) possible. This study uses two feedback controllers that control the downhole WOB and rev/min by use of surface data. A mutlivariate nonlinear model-predictive controller (NMPC) uses downhole and surface measurements to simultaneously regulate the bottomhole-assembly (BHA) pressure and maximize the ROP. For this purpose, NMPC provides the necessary set points for the WOB and rev/min feedback controllers and manipulates the choke-valve opening and pump-flow rates. Controller performance is enhanced by means of a nonlinear estimator that works continuously online with the NMPC and provides the necessary estimated parameter values (such as annulus density, friction factor, and gas influx) for precise and efficient drilling control.
The designed NMPC controller has a multipriority approach that is described in the following three scenarios: during unexpected gas influx, the NMPC gives priority to BHA pressure control and attenuates the influx effectively by means of a novel kick-attenuation method that switches the control objective from BHA pressure to choke-valve pressure; during connection procedures when adding a new stand, ROP is stopped and the NMPC focuses on maintaining the BHA pressure constant; and during normal drilling operation, which involves changes in the rock formation and differential pressures, NMPC gives priority to ROP maximization while maintaining rev/min, WOB, and BHA pressure within specified bounds.
Preliminary results suggest that this multivariate controller for ROP and BHA-pressure control decreases drilling costs, reduces operator workload, and minimizes risk significantly. Specific improvements in drilling performance include higher ROP, effective kick attenuation, and more-uniform cuttings. The use of a multivariate NMPC allows for better ROP optimization and BHA-pressure control than is possible with the use of two independent controllers. These benefits are demonstrated across the three scenarios mentioned previously. In simulation, this technology delivers significant performance improvements during MPD and furthers the development of automated-driller systems.
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Ahmed, R. M., Enfis, M. S., El Kheir, H. M., et al. 2010. The Effect of Drillstring Rotation on Equivalent Circulation Density: Modeling and Analysis of Field Measurements. Presented at the SPE Annual Technical Conference and Exhibition, Florence, Italy, 1922 September. SPE-135587-MS. http://dx.doi.org/10.2118/135587-MS.
Anifowoshe, O. L. and Osisanya, S. O. 2012. The Effect of Equivalent Diameter Definitions on Frictional Pressure Loss Estimation in an Annulus with Pipe Rotation. Presented at the SPE Deepwater and Completions Conference and Exhibition, Galveston, Texas, 2021 June. SPE-151176-MS. http://dx.doi.org/10.2118/151176-MS.
Arabjamaloei, R. and Karimi Dehkordi, B. 2012. Investigation of the Most Efficient Approach of the Prediction of the Rate of Penetration. Energ. Source. A 34 (7): 581–590. http://dx.doi.org/10.1080/15567036.2010.493925.
Asgharzadeh Shishavan, R., Hubbell, C., Perez, H., et al. 2015. Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry. SPE Drill & Compl 30 (1): 17–26. SPE-170275-MS. http://dx.doi.org/10.2118/170275-MS.
Beard, R. W. and McLain, T. W. 2011. Small Unmanned Aircraft: Theory and Practice. Princeton, New Jersey: Princeton University Press.
Carlsen, L. A., Nygaard, G. and Nikolaou, M. 2013. Evaluation of Control Methods for Drilling Operations with Unexpected Gas Influx. J. Process Contr. 23 (3): 306–316. http://dx.doi.org/10.1016/j.jprocont.2012.12.003.
Eren, T. 2010. Real-Time-Optimization of Drilling Parameters During Drilling Operations. PhD dissertation, Middle East Technical University, Ankara, Turkey (February 2010).
Eren, T. and Ozbayoglu, M. E. 2010. Real Time Optimization of Drilling Parameters During Drilling Operations. Presented at the SPE Oil and Gas India Conference and Exhibition, Mumbai, 2022 January. SPE-129126-MS. http://dx.doi.org/10.2118/129126-MS.
Escudier, M. P., Oliveira, P. J. and Pinho, F. T. 2002. Fully Developed Laminar Flow of Purely Viscous non-Newtonian Liquids Through Annuli, Including the Effects of Eccentricity and Inner-cylinder Rotation. Int. J. Heat Fluid Fl. 23 (1): 52–73. http://dx.doi.org/10.1016/S0142-727X(01)00135-7.
Godhavn, J.-M., Pavlov, A., Kaasa, G.-O., et al. 2011. Drilling Seeking Automatic Control Solutions. Proc., 18th IFAC World Congress, Milano, Italy, 28 August2 September, Vol. 18, 1084210850. http://dx.doi.org/0.3182/20110828-6-IT-1002.00551.
Gravdal, J. E., Lorentzen, R. J. and Time, R. W. 2010. Wired Drill Pipe Telemetry Enables Real-Time Evaluation of Kick During Managed Pressure Drilling. Presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, Brisbane, Queensland, Australia, 1820 October. SPE-132989-MS. http://dx.doi.org/10.2118/132989-MS.
Hargreaves, D., Jardine, S. and Jeffryes, B. 2001. Early Kick Detection for Deepwater Drilling: New Probabilistic Methods Applied in the Field. Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, 30 September3 October. SPE-71369-MS. http://dx.doi.org/10.2118/71369-MS.
Hauge, E., Aamo, O. M., Godhavn, J.-M., et al. 2013. A Novel Model-Based Scheme for Kick and Loss Mitigation During Drilling. J. Process Contr. 23 (4): 463–472. http://dx.doi.org/10.1016/j.jprocont.2013.01.006.
Hedengren, J. D., Allsford, K. V. and Ramlal, J. 2007. Moving Horizon Estimation and Control for an Industrial Gas Phase Polymerization Reactor. Proc., American Control Conference, ACC 2007, New York City, 913 July, 1353–1358. http://dx.doi.org/10.1109/ACC.2007.4282820.
Hedengren, J. D. and Edgar, T. F. 2006. Moving Horizon Estimation–The Explicit Solution. Oral presentation given at CPC-VII, Lake Louise, Alberta, Canada, 813 January.
Hedengren, J. D., Asgharzadeh Shishavan, R., Powell, K. M., et al. 2014. Nonlinear Modeling, Estimation and Predictive Control in APMonitor. Comput. Chem. Eng. 70 (1): 133–148. http://dx.doi.org/10.1016/j.compchemeng.2014.04.013.
Irawan, S., Abd Rahman, A. M. and Tunio, S. Q. 2012. Optimization of Weight on Bit During Drilling Operation Based on Rate of Penetration Model. Res. J. Appl. Sci. Eng. Tech. 4 (12): 1690–1695.
Johannessen, M. K. and Myrvold, T. 2010. Stick-Slip Prevention of Drillstrings Using Nonlinear Model Reduction and Nonlinear Model Predictive Control. Master’s thesis, Norwegian University of Science and Technology, Trondheim, Norway (May 2010).
Kamyab, M., Shadizadeh, S. R., Jazayeri-rad, H., et al. 2010. Early Kick Detection Using Real Time Data Analysis with Dynamic Neural Network: A Case Study in Iranian Oil Fields. Presented at the Nigeria Annual International Conference and Exhibition, Calabar, Nigeria, 31 July7 August. SPE-136995-MS. http://dx.doi.org/10.2118/136995-MS.
Ozbayoglu, E. M. and Sorgun, M. 2010. Frictional Pressure Loss Estimation of non-Newtonian Fluids in Realistic Annulus with Pipe Rotation. J Can Pet Technol 49 (12): 5764. SPE-141518-PA. http://dx.doi.org/10.2118/141518-PA.
Pixton, D. and Craig, A. 2014. Drillstring Network 2.0 - An Enhanced Drillstring Network Based on 100 Wells of Experience. Presented at the in IADC/SPE Drilling Conference and Exhibition, Fort Worth, Texas, 4-6 March. SPE-167965-MS. http://dx.doi.org/10.2118/167965-MS.
Pixton, D., Asgharzadeh Shishavan, R., Perez, H. D., et al. 2014. Addressing UBO and MPD Challenges with Wired Drillpipe Telemetry. Presented at SPE/IADC Managed Pressure Drilling & Underbalanced OPerations Conference & Exhibition, Madrid, Spain, 8-9 April. SPE-168953-MS. http://dx.doi.org/10.2118/168953-MS.
Saasen, A. 2014. Annular Frictional Pressure Losses During Drilling-Predicting the Effect of Drillstring Rotation. J. Energ. Resour.-ASME 136 (3): 034501. http://dx.doi.org/10.1115/1.4026205.
Santos, H. M., Catak, E., Kinder, J. I., et al. 2007. Kick Detection and Control in Oil-Based mud: Real Well-Test Results Using Microflux Control Equipment. Presented at SPE/IADC Drilling Conference and Exhibition, Amsterdam, 2022 February. SPE-105454-MS. http://dx.doi.org/10.2118/105454-MS.
Sorgun, M. and Ozbayoglu, M. E. 2011. Predicting Frictional Pressure Loss During Horizontal Drilling for non-Newtonian Fluids. Energ. Source. A 33 (7): 631–640. http://dx.doi.org/10.1080/15567030903226264.
Spivey, B., Hedengren, J. D. and Edgar, T. F. 2010. Constrained Nonlinear Estimation for Industrial Process Fouling. Ind. Eng. Chem. Res. 49 (17): 7824–7831. http://dx.doi.org/10.1021/ie9018116.
Stamnes, O. N., Zhou, J., Kaasa, G.-O., et al. 2008. Adaptive Observer Design for the Bottomhole Pressure of a Managed Pressure Drilling System. Proc., 47th IEEE Conference on Decision and Control, CDC 2008, Cancun, Mexico, 911 December. http://dx.doi.org/10.1109/CDC.2008.4738845.
Sun, L., Castagno, J. D., Hedengren, J. D., et al. 2015. Real-Time Parameter Estimation for Towed Cable Systems Using Moving Horizon Estimation. IEEE Trans. Aero. El. Sys. 51 (2): 14321446. http://dx.doi.org/http://dx.doi.org/10.1109/TAES.2014.130642.
Sun, L., Hedengren, J. D. and Beard, R. W. 2014. Optimal Trajectory Generation using Model Predictive Control for Aerially Towed Cable Systems. J. Guid. Control Dynam. 37 (2): 525–539. http://dx.doi.org/10.2514/1.60820.
Teelken, R., et al. 2014. Application of Wired Drillpipe Technology Used to Increase Drilling Efficiency on North Sea Project. Presented at 2014 SPE Annual Technical Conference and Exhibition, Amsterdam, 2729 October. SPE-170688-MS.
Veeningen, D. 2011. Along-String Pressure Evaluation Enabled by Broadband Networked Drillstring Provide Safety, Efficiency Gains. Presented at Offshore Technology Conference, Rio de Janeiro, 4-6 October. OTC-22239-MS. http://dx.doi.org/10.4043/22239-MS.
Veeningen, D. M., Pink, A. P., McRay, M., et al. 2014. Field Premiere of Along-Sting Dynamic Measurements for Automated Drilling Optimization using Downhole Information. Presented at SPE Annual Technical Conference and Exhibition, Amsterdam, 2729 October. SPE-170770-MS. http://dx.doi.org/10.2118/170770-MS.
Zhou, J. and Nygaard, G. 2011. Automatic Model-Based Control Scheme for Stabilizing Pressure During Dual-Gradient Drilling. J. Process Contr. 21 (8): 1138–1147. http://dx.doi.org/10.1016/j.jprocont.2011.06.022.
Zhou, J., Nistad Stamnes, O., Aamo, O. M., et al. 2009. Pressure Regulation with Kick Attenuation in a Managed Pressure Drilling System. Proc., 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009, Shanghai, 1518 December. http://dx.doi.org/10.1109/CDC.2009.5400792.
Zhou, J., Nygaard, G., Godhavn, J., et al. 2010. Adaptive Observer for Kick Detection and Switched Control for Bottomhole Pressure Regulation and Kick Attenuation During Managed Pressure Drilling. Proc., 2010 American Control Conference, Baltimore, Maryland, 30 June 2 July, 37653770. http://dx.doi.org/10.1109/ACC.2010.5531551.
Zhou, Q., Zhao, H., Zhan, H., et al. 2013. The Application of Ultrasonic Based on Doppler Effect Used in Early Kick Detection for Deep Water Drilling. Proc., 2013 International Conference on Communications, Circuits and Systems, Chengdu, China, 1517 November, 488491. http://dx.doi.org/10.1109/ICCCAS.2013.6765389.