Automated Steering with Real-Time Model-Based Control
- Nazli Demirer (Halliburton) | Umut Zalluhoglu (Halliburton) | Julien Marck (Halliburton) | Robert Darbe (Halliburton)
- Document ID
- International Petroleum Technology Conference
- International Petroleum Technology Conference, 13-15 January, Dhahran, Kingdom of Saudi Arabia
- Publication Date
- Document Type
- Conference Paper
- 2020. International Petroleum Technology Conference
- Optimization, Automated Steering, Automation, Model-based Control, Directional Drilling
- 9 in the last 30 days
- 99 since 2007
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Automation of directional drilling processes has gained interest as drilling operators seek more cost-effective solutions and consistent performance. Automation and control–although a mature topic in many industries–has recently started to take place in the drilling world as well. Hence, there is a great potential for rapid and significant improvements.
Currently, directional drilling operations are primarily managed by directional drillers who make steering decisions based on available pre-job reports, real-time data and geometric calculations. The resulting performance is contingent on directional drillers’ skill set, knowledge of the drilling tool, and familiarity with the local geology. Automating this process brings the promise of standardized drilling decisions with consistent accurate well placement with improved borehole quality, and the flexibility to adapt to new technologies in drilling tools and sensors. Automation also increases safety level in operations by reducing the on-site crew size since directional drillers can remotely manage multiple wells.
This work proposes a model-based control approach for automated steering in drilling operations. Two different models are presented. First, a comprehensive wellbore propagation model which considers multiple factors, such as the geometric feedback embedded in the wellbore trajectory, the drilling tool mechanical properties and actuation principle, the bit/rock interaction laws and kinematic relations between the bit motion and the newly created borehole, then a reduced-order model tailored for control applications. The control approach presented is applicable for both rotary steerable systems (RSS) and mud motors. Testing results are presented and discussed at the end of the paper.
|File Size||750 KB||Number of Pages||8|
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., and 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., and 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.. 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., and 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., and 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., and 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., and 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.. 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.. 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.