Real-Time Condition and Performance Monitoring of a Subsea Blowout Preventer Pipe Ram
- Mete Mutlu (University of Houston) | Taoufik Wassar (University of Houston) | Matthew A. Franchek (University of Houston) | Ala Eddine Omrani (University of Houston) | Jose A. Gutierrez (Transocean)
- Document ID
- Society of Petroleum Engineers
- SPE Drilling & Completion
- Publication Date
- March 2018
- Document Type
- Journal Paper
- 50 - 62
- 2018.Society of Petroleum Engineers
- Model Based, Condition and Performance Monitoring, Diagnostics, Compliance Analysis, Blowout Preventer
- 6 in the last 30 days
- 267 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 12.00|
|SPE Non-Member Price:||USD 35.00|
Presented here is a case study on the condition and performance monitoring (CPM) of a subsea blowout preventer (BOP) pipe ram. The proposed real-time CPM solution uses adaptive physics-based models that process sensor measurements at the point of origin (known as edge analytics). The adapted model coefficients are treated as a vector, the magnitude of which estimates the degree of health degradation and the phase of which identifies its source. The benefits of using an adaptive model-based approach over traditional machine-based learning and artificial-neural-networks solutions include zero algorithm-training times, broad applicability to BOPs, model modularity, and accurate health-degradation estimates. The proposed CPM methodology is validated on a BOP pipe ram using both operational and simulated data. A sensitivity study of the method to system uncertainty is also presented.
|File Size||1 MB||Number of Pages||13|
API STD 53, Blowout Prevention Equipment Systems for Drilling Wells. 2016. Washington, DC: API.
Carter, K. M., van Oort, E., and Barendrecht, A. 2014. Improved Regulatory Oversight Using Real-Time Data Monitoring Technologies in the Wake of Macondo. Presented at the SPE Deepwater Drilling and Completions Conference, Galveston, Texas, 10–11 September. SPE-170323-MS. https://doi.org/10.2118/170323-MS.
Franchek, M. A., Buehler, P. J., and Makki, I. 2007. Intake Air Path Diagnostics for Internal Combustion Engines. J. Dyn. Syst.-T. ASME 129 (1): 32–40. https://doi.org/10.1115/1.2397150.
Holand, P. and Awan, H. 2012. Reliability of Deepwater Subsea BOP Systems and Well Kicks. Report ES 201252/02. ExproSoft, Trondheim, Norway, August 2012.
Lyons, W. C., Pilsga, G. J., and Lorenz, M. D. 2016. Standard Handbook of Petroleum and Natural Gas Engineering, second edition. Burlington, Massachusetts: Gulf Professional Publishing.
MathWorks. 2016. Matlab and Simscape Toolbox Release 2016a. Natick, Massachusetts: MathWorks.
Mckay, J., Simmons, C., Hogg, T. et al. 2012. Blowout Preventer (BOP) Health Monitoring. Presented at the IADC/SPE Drilling Conference and Exhibition, San Diego, California, 6–8 March. SPE-151182-MS. https://doi.org/10.2118/151182-MS.
Mutlu, M., Arnold, Z., Franchek, M. A. et al. 2017. Qualitative Fault Tree Analysis of Blowout Preventer Control System for Real Time Availability Monitoring. Presented at the Offshore Technology Conference, Houston, 1–4 May. OTC-27814-MS. https://doi.org/10.4043/27814-MS.
Mutlu, M., Franchek, M. A., Gutierrez, J. et al. 2016. System Level Performance and Reliability Investigation of Hydraulic Circuits Using Physics Based Models. Oral presentation given at the Dynamic Systems and Control Conference, Minneapolis, Minnesota, 12–14 October.
Pawlus, W., Liland, F., Nilsen, N. et al. 2017. Modeling and Simulation of a Cylinder Hoisting System for Real-Time Hardware-in-the-Loop Testing. SPE Drill & Compl 32 (1): 69–78. SPE-184406-PA. https://doi.org/10.2118/184406-PA.
Stivers, G. S. 1972. Electro-Hydraulic Control Systems for Subsea Applications. Presented at the SPE European Spring Meeting, Amsterdam, 16–18 May. SPE-3762-MS. https://doi.org/10.2118/3762-MS.
Stroh, D. J., Franchek, M. A., and Kerns, J. M. 2001. Fueling Control of Spark Ignition Engines. Vehicle Syst. Dyn. 36 (4-5): 329–58. https://doi.org/10.1076/vesd.36.4.329.3549.
Turner, A. and Loustau, P. 2015. Fiber Optic Sensor Based Monitoring System for Blowout Preventer. Presented at the Offshore Technology Conference, Houston, 4–7 May. OTC-25778-MS. https://doi.org/10.4043/25778-MS.
Vujasinovic, A. N. 1986. How Blowout Preventers Work. J Pet Technol 38 (9): 935–937. SPE-15795-PA. https://doi.org/10.2118/15795-PA.
Vujasinovic, A. N. and McMahan, J. M. 1988. Electrohydraulic Multiplex Bop Control Systems For Deep Water. Presented at the Offshore Technology Conference, Houston, 2–5 May. OTC-5880-MS. https://doi.org/10.4043/5880-MS.
Xiu, L., Juan, L., Xiu-Rong, C. et al. 2015. Lifetime Prognosis of Blowout Preventer Valve for Offshore Platform Based on Wiener Process. Proc., 27th Chinese Control and Decision Conference, Qingdao, China, 23–25 May, 2432–2436. https://doi.org/10.1109/CCDC.2015.7162329.