A Feasible Method for the Trajectory Measurement of Radial Jet Drilling Laterals
- Zhe Huang (China University of Petroleum, Beijing) | Zhongwei Huang (China University of Petroleum, Beijing) | Yinao Su (CNPC Drilling Research Institute) | Gang Bi (State Key Laboratory of Petroleum Resources and Prospecting of China University of Petroleum, Beijing, and Xi’an Shiyou University) | Weichang Li (China University of Petroleum, Beijing) | Xin Liu (China University of Petroleum, Beijing) | Tianwen Jiang (China University of Petroleum, Beijing)
- Document ID
- Society of Petroleum Engineers
- SPE Drilling & Completion
- Publication Date
- March 2020
- Document Type
- Journal Paper
- 125 - 135
- 2020.Society of Petroleum Engineers
- radial jet drilling, small size measuring tool, trajectory measurement, dead reckoning
- 1 in the last 30 days
- 123 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 5.00|
|SPE Non-Member Price:||USD 35.00|
Radial jet drilling (RJD) is an unconventional drilling technology that uses high-pressure liquid jet to drill multiple radial laterals. It is a cost-effective alternative for bypassing damage zones near the wellbore, restimulating the production of old wells, and developing unconventional reservoirs. However, because of the structure of the deflector and the diameter of the radial laterals, traditional welltrajectory measuring tools cannot be applied in RJD wells, which hinders the conduct of some significant operations. The unknown trajectory is a crucial limitation to further development and field application of RJD technology.
In this paper, along with an introduction to RJD technology, a measuring system and a mini-tool are proposed for attitude measurement and motion-state recognition. With an extra tripping stage, the tool is tripped down to the bottom of the RJD laterals after the jet drilling is completed, and then tripped out at a constant speed. The measured data stored in memory media could be downloaded after the measurement. On the basis of navigation theory, a reckoning method was proposed to obtain the trajectory parameters by using the recorded data of the tool and the operational data of the coiled tubing (CT). After that, an experimental study was carried out to test the performance of the measuring tool and the reckoning method. As results of the experiments demonstrate, the average errors of the measured length, inclination, and azimuth are 3.94, 2.62, and 4.54%, respectively.
|File Size||956 KB||Number of Pages||11|
ADI. 2018. Low Noise, Low Drift, Low Power 3-Axis MEMS Accelerometers. https://www.analog.com/media/en/technical-documentation/data-sheets/adxl354_355.pdf (accessed 25 September 2019).
Balch, R. S., Ruan, T., Savage, M. et al. 2016. Field Testing and Validation of a Mechanical Alternative to Radial Jet Drilling for Improving Recovery in Mature Oil Wells. Paper presented at the SPE Western Regional Meeting, Anchorage, Alaska, USA, 23–26 May. SPE-180410-MS. https://doi.org/10.2118/180410-MS.
Bruni, M., Biasotti, J., and Salomone, G. 2007. Radial Drilling in Argentina. Paper presented at the Latin American and Caribbean Petroleum Engineering Conference, Buenos Aires, Argentina, 15–18 April. SPE-107382-MS. https://doi.org/10.2118/107382-MS.
Chang, H., Xue, L., Qin, W. et al. 2008. An Integrated MEMS Gyroscope Array with Higher Accuracy Output. Sensors 8 (4): 2886–2899. https://doi.org/10.3390/s8042886.
Cirigliano, R. A., and Blacutt, J. F. T. 2007. First Experience in the Application of Radial Perforation Technology in Deep Wells. Paper presented at the Latin American and Caribbean Petroleum Engineering Conference, Buenos Aires, Argentina, 15–18 April. SPE-107182-MS. https://doi.org/10.2118/107182-MS.
Dickinson, W., and Dickinson, R. W. 1985. Horizontal Radial Drilling System. Paper presented at the SPE California Regional Meeting, Bakersfield, California, USA, 27–29 March. SPE-13949-MS. https://doi.org/10.2118/13949-MS.
Dickinson, W., Pesavento, M., and Dickinson, W. 1990. Data Acquisition, Analysis, and Control While Drilling with Horizontal Water Jet Drilling Systems. Paper presented at the CIM/SPE International Technical Meeting, Calgary, Alberta, Canada, 10–13 June. SPE-21602-MS. https://doi.org/10.2118/21602-MS.
Groves, P. D. 2013. Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems. Boston, Massachusetts, USA: Artech.
Guha, S., Plarre, K., Lissner, D. et al. 2012. Autowitness: Locating and Tracking Stolen Property While Tolerating GPS and Radio Outages. ACM Trans Sens Netw 8 (4): 1–28. https://doi.org/10.1145/2240116.2240120.
Honeywell. 2018. HG9900 Inertial Measurement Unit. https://aerospace.honeywell.com/en/~/media/aerospace/files/brochures/n61-1638-000-000-hg9900inertialmeasurementunit-bro.pdf (accessed 25 September 2019).
Ibeh, S., Obah, B., and Chibueze, S. 2017. Investigating the Application of Radial Drilling Technique for Improved Recovery in Mature Niger Delta Oil Fields. Paper presented at the SPE Nigeria Annual International Conference and Exhibition, Lagos, Nigeria, 31 July–2 August. SPE-189137-MS. https://doi.org/10.2118/189137-MS.
Jain, D., Maut, P. P., Saharia, P. et al. 2017. Radial Jet Drilling in Mature Fields of Oil India Limited: An Experimental Approach. Paper presented at the SPE Oil and Gas India Conference and Exhibition, Mumbai, India, 4–6 April. SPE-185398-MS. https://doi.org/10.2118/185398-MS.
Kamel, A. H. 2016. RJD: A Cost Effective Frackless Solution for Production Enhancement in Marginal Fields. Paper presented at the SPE Eastern Regional Meeting, Canton, Ohio, USA, 13–15 September. SPE-184053-MS. https://doi.org/10.2118/184053-MS.
Kamel, A. H. 2017. Radial Jet Drilling: A Technical Review. Paper presented at the SPE Middle East Oil and Gas Show and Conference, Manama, Kingdom of Bahrain, 6–9 March. SPE-183740-MS. https://doi.org/10.2118/183740-MS.
Kim, D. H., Kim, Y., Estrin, D. et al. 2010. Sensloc: Sensing Everyday Places and Paths Using Less Energy. Paper presented at the Eighth ACM Conference on Embedded Networked Sensor Systems, Zurich, Switzerland, 2–5 November. https://doi.org/10.1145/1869983.1869989.
Kwapisz, J. R., Weiss, G. M., and Moore, S. A. 2011. Activity Recognition Using Cell Phone Accelerometers. ACM SIGKDD Explor Newslett 12 (2): 74–82. https://doi.org/10.1145/1964897.1964918.
Li, G., Huang, Z., and Li, J. 2017. Study of the Key Techniques in Radial Jet Drilling. Pet Drill Tech 2017 (2): 1–9. https://doi.org/10.5897/JPGE2017.0275.
Li, G., Huang, Z., Tian, S. et al. 2010. Research and Application of Water Jet Technology in Well Completion and Stimulation in China. Pet Sci 7 (2): 239–244. https://doi.org/10.1007/s12182-010-0009-9.
Liu, Q., Tian, S., Li, G. et al. 2018a. Fracture Initiation and Propagation Characteristics for Radial Drilling-Fracturing: An Experimental Study. Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, Houston, Texas, USA, 23–25 July. URTEC-2902984-MS. https://doi.org/10.15530/URTEC-2018-2902984.
Liu, Q., Tian, S., Li, G. et al. 2018b. Influence of Weakness Plane on Radial Drilling with Hydraulic Fracturing Initiation. Paper presented at the 52nd US Rock Mechanics/Geomechanics Symposium. American RockMechanics Association, Seattle, Washington, USA, 17–20 June. ARMA-2018-896.
Madgwick, S. 2010. An Efficient Orientation Filter for Inertial and Inertial/Magnetic Sensor Arrays. Internal Report, x-io Technologies and University of Bristol (UK), https://www.samba.org/tridge/UAV/madgwick_internal_report.pdf (accessed 25 September 2019).
Maut, P. P., Jain, D., Mohan, R. et al. 2017. Production Enhancement in Mature Fields of Assam Arakan Basin by Radial Jet Drilling: A Case Study. Paper presented at the SPE Symposium: Production Enhancement and Cost Optimisation, Kuala Lumpur, Malaysia, 7–8 November. SPE-189243-MS. https://doi.org/10.2118/189243-MS.
Nawaz, S., and Mascolo, C. 2014. Mining Users’ Significant Driving Routes with Low-Power Sensors. Paper presented at the 12th ACM Conference on Embedded Network Sensor Systems, Memphis, Tennessee, USA, 3–6 November, 236–250. https://doi.org/10.1145/2668332.2668348.
Qin, Y. 2014. Inertial Navigation, second edition. Beijing, China: Science Press.
Qin, L., Zhang, W., Zhang, H. et al. 2006. Attitude Measurement System Based on Micro-Silicon Accelerometer Array. Chaos Soliton Fract 29 (1): 141–147. https://doi.org/10.1016/j.chaos.2005.08.014.
TDK. 2012. MPU-3300 Product Specification Revision 1.1. https://www.invensense.com/wp-content/uploads/2015/02/MPU-3300-Datasheet1.pdf (accessed 25 September 2019).
TDK. 2016. MPU-9250 Product Specification Revision 1.1. http://www.invensense.com/wp-content/uploads/2015/02/PS-MPU-9250A-01-v1.1.pdf (accessed 25 September 2019).
Wang, B., Li, G., Huang, Z. 2016. Hydraulics Calculations and Field Application of Radial Jet Drilling. SPE Drill & Compl 31 (1): 71–81. SPE-179729-PA. https://doi.org/10.2118/179729-PA.
Wu, A. D., Johnson, E. N., and Proctor, A. A. 2005. Vision-Aided Inertial Navigation for Flight Control. J Aeros Comp Inf Comm 2 (9): 348–360. https://doi.org/10.2514/1.16038.
Yan, G., Li, S, and Qin Y. 2012. Test of the Inertial Instrument and Data Analysis. Beijing, China: National Defense Industry Press.
Zhao, X. 2011. The Through Capability Analysis of Rigid Downhole Tools. China Pet Machinery 39 (10): 66–68.