Stick/Slip Detection and Friction-Factor Testing With Surface-Based Torque and Tension Measurements
- Stephen William Lai (Pason Systems) | Matthew Richard Bloom (Nexen Energy ULC) | Mitch Jason Wood (Pason Systems) | Aaron John Eddy (Pason Systems) | Trevor Leigh Holt (Pason Systems)
- Document ID
- Society of Petroleum Engineers
- SPE Drilling & Completion
- Publication Date
- May 2016
- Document Type
- Journal Paper
- 119 - 133
- 2016.Society of Petroleum Engineers
- surface sub, torsional vibration, sheave friction, torque and drag, stick-slip
- 2 in the last 30 days
- 589 since 2007
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Recently, there has been a strong push toward automation and the use of real-time models in the drilling industry. However, it has been recognized that these new methods require a dramatic improvement in the quality of sensor data gathered at the rig. In this paper, we investigate how accurate measurement of drillpipe torque and tension at the surface can be used to diagnose downhole conditions. A surface-based torque-and-tension sub (TTS) was used to perform measurements while drilling several horizontal wells in the Dilly Creek area of the Horn River Basin, which is onshore in Canada. A filtered version of surface torque was used to calculate a stick/slip metric, which was compared to stick/slip measurements acquired with a downhole tool. The results show that there is reasonable correlation between surface and downhole metrics, but the correlation is highly dependent on torque filter start and stop frequencies. A comparison is also performed between the hookload measured with a deadline sensor and the tension measurement from the surface sub. The results show a systematic discrepancy of approximately 5% that is likely caused by sheave friction. A commercial torque-and-drag (T&D) software package is used to show that values for casing friction factor (FF) may be underestimated if sheave friction is present but ignored in the analysis. The results from this study show that an advanced measurement sub placed below the topdrive can provide valuable information regarding drilling performance. Specifically, the torque signal can be used to estimate the level of downhole stick/slip, which alleviates the need for an expensive downhole-dynamics tool. Also, the tension signal can be used to obtain accurate measurements of wellbore FF, which can be compared with theoretical values obtained with T&D analysis. With an appropriate-software implementation, these measurements can be performed in real time, which would enable rig crews to react quickly whenever excessive stick/slip or wellbore drag is encountered during drilling operations.
|File Size||2 MB||Number of Pages||15|
Besaisow, A. A., Jan, Y. M. and Schuh, F. J. 1985. Development of a Surface Drillstring Vibration Measurement System. Presented at the SPE Annual Technical Conference and Exhibition, Las Vegas, Nevada, 22–26 September. SPE-14327-MS. http://dx.doi.org/10.2118/14327-MS.
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.
Cayeux, E., Skadsem, H. J. and Kluge, R. 2015. Accuracy and Correction of Hook Load Measurements During Drilling Operations. Presented at the SPE/IADC Drilling Conference and Exhibition, London, 17–19 March. SPE-173035-MS. http://dx.doi.org/10.2118/173035-MS.
de Wardt, J. P., Behounek, M., Chapman, C. et al. 2013. Drilling Systems Automation – Preparing for the Big Jump Forward. Presented at the SPE/IADC Drilling Conference, Amsterdam, 5–7 March. SPE-163422-MS. http://dx.doi.org/10.2118/163422-MS.
Dufeyte, M-P. and Henneuse, H. 1991. Detection and Monitoring of the Stick-Slip Motion: Field Experiments. Presented at the SPE/IADC Drilling Conference, Amsterdam, 11–14 March. SPE-21945-MS. http://dx.doi.org/10.2118/21945-MS.
Ertas, D., Bailey, J. R., Wang, L. et al. 2014. Drillstring Mechanics Model for Surveillance, Root Cause Analysis, and Mitigation of Torsional and Axial Vibrations. SPE Drill & Compl 29 (4): 405–417. SPE-163420-PA. http://dx.doi.org/10.2118/163420-PA.
Halliburton. 2012. WELLPLAN Software Release 5000.1.10 Training Manual. Houston: Halliburton Landmark Software & Services.
Iversen, F. P., Cayeux, E., Dvergsnes, E. W. et al. 2006. Monitoring and Control of Drilling Utilizing Continuously Updated Process Models. Presented at the IADC/SPE Drilling Conference, Miami, Florida, 21–23 February. SPE-99207-MS. http://dx.doi.org/10.2118/99207-MS.
Johancsik, C. A., Friesen, D. B. and Dawson, R. 1984. Torque and Drag in Directional Wells–Prediction and Measurement. J. Pet Technol 36 (6): 987–992. SPE-11380-PA. http://dx.doi.org/10.2118/11380-PA.
Kyllingstad, A. and Hasley, G. W. 1988. A Study of Slip/Stick Motion of the Bit. SPE Drill Eng 3 (4): 369–373. SPE-16659-PA. http://dx.doi.org/10.2118/16659-PA.
Luke, G. R. and Juvkam-Wold, H. C. 1993. Determination of True Hook Load and Line Tension Under Dynamic Conditions. SPE Drill & Compl 8 (4): 259–264. SPE-23859-PA. http://dx.doi.org/10.2118/23859-PA.
Mabile, C., Desplans, J. P. and Pavone, D. 1996. A New Way of Using Surface Measurements to Detect Down Hole Vibrations. Presented at the European Petroleum Conference, Milan, Italy, 22–24 October. SPE-36883-MS. http://dx.doi.org/10.2118/36883-MS.
Macpherson, J. D. 2010. The Science of Stick-Slip. Oral presentation given at the IADC Stick-Slip Mitigation Workshop, Houston, 15 July.
Macpherson, J. D., de Wardt, J. P., Florence, F. et al. 2013. Drilling Systems Automation: Current State, Initiatives and Potential Impact. SPE Drill & Compl 28 (4): 296–308. SPE-166263-PA. http://dx.doi.org/10.2118/166263-PA.
Macpherson, J. D., Jogi, P. N. and Kingman, J. E. 2001. Application and Analysis of Simultaneous Near Bit and Surface Dynamics Measurements. SPE Drill & Compl 16 (4): 230–238. SPE-74718-PA. http://dx.doi.org/10.2118/74718-PA.
MathWorks. 2016. MATLAB - The Language of Technical Computing, http://www.mathworks.com/products/matlab/ (accessed 21 January 2016).
Oppenheim, A. V., Schafer, R. W. and Buck, J. R. 1999. Discrete-Time Signal Processing. Upper Saddle River, New Jersey: Prentice-Hall.
Samuel, R. 2014. Drilling Engineering–Solutions and Applications. Halliburton.
Wylie, R., Standefer, J., Anderson, J. et al. 2013. Instrumented Internal Blowout Preventer Improves Measurements for Drilling and Equipment Optimization. Presented at the SPE/IADC Drilling Conference and Exhibition, Amsterdam, 5–7 March. SPE-163475-MS. http://dx.doi.org/10.2118/163475-MS.
ZigBee Alliance. 2016. Network Specifications, http://www.zigbee.org/zigbee-for-developers/network-specifications/ (accessed 21 January 2016).