A Model Predictive Control Method for Autonomous Directional Drilling
- Nazli Demirer (Halliburton) | Umut Zalluhoglu (Halliburton) | Julien Marck (Halliburton) | Hossam Gharib (Former Halliburton) | Robert Darbe (Halliburton)
- Document ID
- Society of Petroleum Engineers
- SPE Annual Technical Conference and Exhibition, 30 September - 2 October, Calgary, Alberta, Canada
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Petroleum Engineers
- Optimal Control, Autonomous Drilling, RSS, Model Predictive Control, Directional Drilling
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- 154 since 2007
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Directional drilling for hydrocarbon exploration has been challenged to become more cost-effective and consistent with fast-growing drilling operations for both offshore and onshore production areas. Autonomous directional drilling provides a solution to these challenges by providing repeatable drilling decisions for accurate well placement, improved borehole quality, and flexibility to adapt smoothly to new technologies for drilling tools and sensors. This work proposes a model predictive control (MPC)-based approach for trajectory tracking in autonomous drilling. Given a well plan, bottomhole assembly (BHA) configuration, and operational drilling parameters, the optimal control problem is formulated to determine steering commands (i.e., tool face and steering ratio) necessary to achieve drilling objectives while satisfying operational constraints.
The proposed control method was recently tested and validated during multiple field trials in various drilling basins on two- and three-dimensional (2D and 3D) well plans for both rotary steerable systems (RSS) and mud motors. Multiple curve sections were drilled successfully with automated steering decisions, generating smooth wellbores and maintaining proximity with the given well plan.
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Annaiyappa, P., 2013. IT Infrastructure Architectures to Support Drilling Automation. Presented at the SPE Digital Energy Conference, The Woodlands, Texas, USA, 5–7 March. SPE-163719-MS. https://doi.org/10.2118/163719-MS.
Bayliss, M.,Bogath, C.,Whidborne, J., 2015. MPC-Based Feedback Delay Compensation Scheme for Directional Drilling Attitude Control. Presented at the SPE/IADC Drilling Conference and Exhibition, London, England, 17–19 March. SPE-173009-MS. https://doi.org/10.2118/173009-MS.
Bello, O.,Srivastava, D.,Smith, D.,2014. Cloud-Based Data Management in Oil and Gas Fields: Advances, Challenges, and Opportunities. Presented at the SPE Intelligent Energy Conference & Exhibition, Utrecht, The Netherlands, 1–3 April. SPE-167882-MS. https://doi.org/10.2118/167882-MS.
Chang D-L.,Payette, G.S.,Pais, D.,et al.. 2014. Field Trial Results of a Drilling Advisory System. Presented at the International Petroleum Technology Conference, Doha, Qatar, 19–22 January. IPTC-17216-MS. https://doi.org/10.2523/IPTC-17216-MS.
Gaines M.,Neil P.,Herrington D. 2013. Novel Drilling System Offers Rotary Steerable System Performance with Real Time Survey in Top Hole Sections While Reducing Overall Costs. Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, USA, 30 September–2 October. SPE-166467-MS. https://doi.org/10.2118/166467-MS.
Langaker, I., and Edvardsen, I., 2015. Continuous Inclination Enhances TVD Wellbore Positioning at the Troll Fields. Presented at the SPE Bergen One Day Seminar, Bergen, Norway, 22 April. SPE-173878-MS. https://doi.org/10.2118/173878-MS.
Matheus, J.,Ignova, M.,Hornblower, P., 2014. A Hybrid Approach to Closed-Loop Directional Drilling Control Using Rotary Steerable Systems. Presented at the SPE Latin America and Caribbean Petroleum Engineering Conference, Maracaibo, Venezuela, 21–23 May. SPE-169433-MS. https://doi.org/10.2118/169433-MS.
InverseProblem.co.nz. 2019. Optimization interface (OPTI) toolbox. 2018 https://www.inverseproblem.co.nz/OPTI/.
Panchal, N.,Bayliss, M.,Whidborne, J., 2010. Robust Linear Feedback Control of Attitude for Directional Drilling Tools. IFAC Proceedings Volumes, 43 (9): 92–97. https://doi.org/10.3182/20100802-3-ZA-2014.00022.
Perneder, L.Marck, J.,Detournay E. 2017. A Model of Planar Borehole Propagation. SIAM Journal on Applied Mathematics, 77 (4): 1089–1114. https://doi.org/10.1137/16M1094518.
Zalluhoglu, U.,Demirer, N.,Marck, J.,et al. 2019b. Steering Advisory System for Rotary Steerable Systems. Presented at the SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 5–7 March. SPE-194090-MS. https://doi.org/10.2118/194090-MS.
Zalluhoglu, U.,Demirer, N.,Marck, J.,et al. 2019c. Steering Advisory System for Mud Motors. Presented at the SPE/IADC International Drilling Conference and Exhibition, The Hague, The Netherlands, 5–7 March. SPE-194077-MS. https://doi.org/10.2118/194077-MS.