On the Use of Distributed Temperature Sensing and Distributed Acoustic Sensing for the Application of Gas Lift Surveillance
- Gijs Hemink (Shell Global Solutions International) | Juun van der Horst (Shell Global Solutions International)
- Document ID
- Society of Petroleum Engineers
- SPE Production & Operations
- Publication Date
- November 2018
- Document Type
- Journal Paper
- 896 - 912
- 2018.Society of Petroleum Engineers
- Gas-lift Surveillance, Distributed Temperature Sensing (DTS), Fibre-Optic Surveillance, Thermal Model, Distributed Acoustic Sensing (DAS)
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- 288 since 2007
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Fiber-optic (FO) -based sensing technologies such as distributed temperature sensing (DTS) or distributed acoustic sensing (DAS) for well surveillance are attractive because they offer a continuous collection of real-time downhole data without the need for well intervention, thus avoiding production deferment. An example is the application of DTS and DAS for gas lift performance monitoring in oil producers by measuring the thermal and acoustic effects from the flow of lift gas through the valves into the production tubing to determine the active, inactive, and possibly leaking valves, and, also, the unloading depth. An anomaly observed in DTS data of a deepwater Gulf of Mexico (GOM) gas lifted oil producer led to a significantly improved interpretation methodology that allows inferring both the lifting depths and the annular-fluid interface(s). These results were confirmed by DAS, by identifying gas flow through a valve in selected acoustic-frequency bands. The new insights have been applied to five wells in the GOM and Southeast Asia.
|File Size||2 MB||Number of Pages||17|
Baciu, C., Groen, L., Chai, C. F. et al. 2016 Distributed Acoustic Sensing for Day-to-Day Well, Reservoir and Facility Management. Presented at the SPE Intelligent Energy International Conference and Exhibition, Aberdeen, 6–8 September. SPE-181095-MS. https://doi.org/10.2118/181095-MS.
Denney, D. 2012. Distributed Acoustic Sensing for Hydraulic-Fracturing Monitoring and Diagnostics. J Pet Technol 64 (3): 68–74. SPE-0312-0068-JPT. https://doi.org/10.2118/0312-0068-JPT.
Fitzel, S., Sekar, B., Alvarez, D. et al. 2015. Gas Injection EOR Optimization Using Fiber-Optic Logging With DTS and DAS for Remedial Work. Presented at the SPE/CSUR Unconventional Resources Conference, Calgary, 20–22 October. SPE-175891-MS. https://doi.org/10.2118/175891-MS.
Koelman, J. M. V., Lopez, J. L., and Potters, H. 2011. Fiber Optic Technology for Reservoir Surveillance. Presented at the International Petroleum Technology Conference, Bangkok, 15–17 November. IPTC-14629-MS. https://doi.org/10.2523/IPTC-14629-MS.
Lemmon, E. W., McLinden, M. O., and Friend, D. G. 2017. Thermophysical Properties of Fluid Systems. In NIST Chemistry WebBook, NIST Standard Reference Database Number 69, ed. Linstrom P. J. and Mallard W. G.. Gaithersburg, Maryland: National Institute of Standards and Technology (accessed 15 May 2017).
Paleja, R., Mustafina, D., Panhuis, P. in ‘t et al. 2015. Velocity Tracking for Flow Monitoring and Production Profiling Using Distributed Acoustic Sensing. Presented at the SPE Annual Technical Conference and Exhibition, Houston, 28–30 September. SPE-174823-MS. https://doi.org/10.2118/174823-MS.
Panhuis, P. in ’t, den Boer, H., Van Der Horst, J. et al. 2014. Flow Monitoring and Production Profiling Using DAS. Presented at the SPE Annual Technical Conference and Exhibition, Amsterdam, 27–29 October. SPE-170917-MS. https://doi.org/10.2118/170917-MS.
Sanchez, A., Brown, G. A., Carvalho, V. L. et al. 2005. Slickline With Fiber-Optic Distributed Temperature Monitoring for Water-Injection and Gas Lift Systems Optimization in Mexico. Presented at the SPE Latin American and Caribbean Petroleum Engineering Conference, Rio de Janeiro, 20–23 June. SPE-94989-MS. https://doi.org/10.2118/94989-MS.
Schlumberger Limited. 2017. OLGA Dynamic Multiphase Flow Simulator. Available: https://www.software.slb.com/products/olga (accessed 30 June 2017).
Smolen, J. and van der Spek, A. 2003. Distributed Temperature Sensing: A DTS Primer for Oil & Gas Production, Shell International Exploration and Production B.V. Available: http://w3.energistics.org/schema/witsml_v1.3.1_data/doc/Shell_DTS_Primer.pdf (accessed 01 09 2018).