SMART Kick Detection: First Step on the Well-Control Automation Journey
- Jan Brakel (Shell) | Brian Tarr (Shell) | William Cox (Noble Drilling Services Inc.) | Fredrik Jorgensen (National Oilwell Varco) | Haakon Vidar Straume (National Oilwell Varco)
- Document ID
- Society of Petroleum Engineers
- SPE Drilling & Completion
- Publication Date
- September 2015
- Document Type
- Journal Paper
- 233 - 242
- 2015.Society of Petroleum Engineers
- automation, kick detection, floating rig
- 5 in the last 30 days
- 468 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 10.00|
|SPE Non-Member Price:||USD 30.00|
In 2010, on the basis of the safety-performance results achieved through the automation revolution in its oil and gas downstream business, an operator set out to start the same revolution in its upstream business. Automating the initial well-control response to an influx was identified as the initial focus area with the goal of assisting rig personnel to identify and stop any influx without delay. This led to a well-control automation-collaboration project started between an operator, a rig contractor, and a rig-equipment supplier. The first phase of the project was to develop a system that could detect an influx across a broad spectrum of well-construction-related rig operations. This paper describes the development, deployment, and field testing of the first upgraded kickdetection system from this collaboration. To understand where to focus the kick-detection systemupgrade efforts, a fault-tree-style sensitivity analysis of kick detection and well shut-in procedures was undertaken. The results pointed to the high value of improved sensor data (both accuracy and reliability) and of improved detection software for alarming (both in terms of coverage and how the driller is alerted to respond to a confirmed kick condition). On the basis of this sensitivity analysis, a kick-detection system-upgrade functional specification was created and used to develop a trial-upgrade plan for a deepwater rig. Initial implementation operational performance results are presented to demonstrate that most of the kick-detection systemupgrade objectives were achieved. Operational feedback from using the upgraded kick-detection system is included which highlights the new, “SMART,” features that were designed to provide easily understood alerts to the driller, including unique pop-up kick-alarm windows for drilling or circulating, making a connection, and tripping in or out.
|File Size||1 MB||Number of Pages||10|
Ali, T. H., Haberer, S. M., Says, I.P. et al. 2013. Automated Alarms for Smart Flowback Fingerprinting and Early Kick Detection. Paper presented at the SPE/IADC Drilling Conference and Exhibition, Amsterdam, 5–7 March. SPE-163471-MS. http://dx.doi.org/10.2118/163471-MS.
Bible, M. J., Hedayati, Z., and Choo, D. K. 1991. State-of-the-Art Trip Monitor. Paper presented at the SPE/IADC Drilling Conference, Amsterdam, 11–14 March. SPE-21965-MS. http://dx.doi.org/10.2118/21965-MS.
BSEE (Bureau of Safety and Environmental Enforcement). 2013. Final Report #3 2013 Kick Detection and Associated Technologies. BSEE Report No. 12-1841-DG-RPT-0003 Rev C, prepared by MCS Kenny for BSEE Project 713, Assessment of BOP Stack Sequencing, Monitoring and Kick Detection Technology, 30 October 2013 (available at: http://www.bsee.gov/Technology-and-Research/Technology-Assessment-Programs/Projects/Project-713/).
Cayeux, E., Daireaux, B., Dvergsnes, E. W. et al. 2014. Toward Drilling Automation: On the Necessity of Using Sensors That Relate to Physical Models. SPE Drill & Compl 29 (2): 236–255. SPE-163440-PA. http://dx.doi.org/10.2118/163440-PA.
Daireaux, B. and Cayeux, E. 2013. Precise Gain and Loss Detection Using a Transient Hydraulics Model of the Return Flow to the Pit. Paper presented at the SPE/IADC Middle East Drilling Technology Conference and Exhibition, Dubai, 7–9 October. SPE-166801-MS. http://dx.doi.org/10.2118/166801-MS.
Doria, M. T. and Morooka, C. K. 1997. Kick Detection in Floating Drilling Rigs. Paper presented at the Fifth Latin American and Caribbean Petroleum Engineering Conference and Exhibition, Rio de Janeiro, 30 August–3 September. SPE-39004-MS. http://dx.doi.org/10.2118/39004-MS.
Fraser, D., Lindley, R., Moore, D. D. et al. 2014. Early Kick Detection Methods and Technologies. Paper presented at the SPE Annual Technical Conference and Exhibition, Amsterdam, 27–29 October. SPE-170756-MS. SPE-170756-MS. http://dx.doi.org/10.2118/170756-MS.
Hargreaves, D., Jardine, S., and Jeffryes, B. 2001. Early Kick Detection for Deepwater Drilling: New Probabilistic Methods Applied in the Field. Paper presented at the SPE Annual Technical Conference and Exhibition, New Orleans, 30 September–3 October. SPE-71369-MS. http://dx.doi.org/10.2118/71369-MS.
Jardine, S.I., McCann, D. P., White, D. B. et al. 1991. An Improved Kick Detection System for Floating Rigs. Paper presented at the Offshore Europe Conference, Aberdeen, 3–6 September. SPE-23133-MS. http://dx.doi.org/10.2118/23133-MS.
Johnson, A., Leuchtenberg, C., Petrie, S. et al. 2014. Advancing Deepwater Kick Detection. Paper presented at the SPE/IADC Drilling Conference and Exhibition, Fort Worth, 4–6 March. SPE-167990-MS. http://dx.doi.org/10.2118/167990-MS.
Le Blay, L., Villard, E., Caffery, H. et al. 2012. A New Generation of Well Surveillance for Early Detection of Gains and Losses When Drilling High-Profile Ultradeepwater Wells, Improving Safety, and Optimizing Operating Procedures. Paper presented at the SPETT Energy Conference and Exhibition, Port of Spain, 11–13 June. SPE-158374-MS. http://dx.doi.org/10.2118/158374-MS.
Maus, L. D., Tannich, J. D., and IIfrey, W. T. 1979. Instrumentation Requirements for Kick Detection in Deep Water. J Pet Technol 31 (8): 1029–1034. SPE-7238-PA. http://dx.doi.org/10.2118/7238-PA.
NORSOK Standard D-001 Drilling Facilities. 2012 (Annex B). Norwegian Technology Standards Institution, Oscarsgt. 20, Postbox 7072 Majorstua, N-0306 Oslo, Norway.
Norwegian Oil and Gas Association 070 2004. Application of IEC 61508 and IEC 61511 in the Norwegian Petroleum Industry, Rev 02, 29 Oct 2004.
Nybo, R., Bjorkevoll, K. S., and Rommetveit, R. 2008. Spotting a False Alarm—Integrating Experience and Real-Time Analysis With Artificial Intelligence. Paper presented at the SPE Intelligent Energy Conference and Exhibition, Amsterdam, 25–27 February. SPE-112212-MS. http://dx.doi.org/10.2118/112212-MS.
Ritchie, G. M., Hutin, R., Aldred, W. D. et al. 2008. Development and Testing of a Rig-Based Quick Event Detection System to Mitigate Drilling Risks. Paper presented at the IADC/SPE Drilling Conference, Orlando, USA, 4–6 March. SPE-111757-MS. http://dx.doi.org/10.218/111757-MS.
Schafer, D. M., Loeppke, G. E., Glowka, D. A. et al. 1992. An Evaluation of Flowmeters for the Detection of Kicks and Lost Circulation During Drilling. Paper presented at the 1992 IADC/SPE Drilling Conference, New Orleans, 18–21 February. SPE-23935-MS. http://dx.doi.org/10.2118/23935-MS.
Speers, J. M. and Gehrig, G. H. 1987. Delta Flow: An Accurate, Reliable System for Detecting Kicks and Loss of Circulation During Drilling. SPE Drill Eng 2 (4): 359–363. SPE-13496-PA. http://dx.doi.org/10.2118/13496-PA.
Weishaupt, M. A., Omsberg, N. P., Jardine, S. I. et al. 1991. Rig Computer System Improves Safety for Deep HP/HT Wells by Kick Detection and Well Control Monitoring. Paper presented at the Offshore Europe Conference, Aberdeen, 3–6 September. SPE-23053-MS. http://dx.doi.org/10.2118/23053-MS.