Horizontal-Steam-Injection-Flow Profiling Using Fiber Optics
- Mahdy Shirdel (Chevron) | Richard S. Buell (Chevron) | Mike J. Wells (Chevron) | Cece Muharam (Chevron) | Jackie C. Sims (Chevron)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- April 2019
- Document Type
- Journal Paper
- 431 - 451
- 2019.Society of Petroleum Engineers
- Horizontal Well, Distributed Temperature Sensing, Fiber Optics, Steam Injection, Distributed Acoustic Sensing
- 27 in the last 30 days
- 176 since 2007
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|SPE Non-Member Price:||USD 35.00|
Steam-conformance control in horizontal injectors is important for efficient reservoir-heat management in heavy-oil fields. Suboptimal conformance and nonuniform heating of the reservoir can substantially affect the economics of the field development and oil-production response and result in nonuniform steam breakthrough. To achieve the required control, it is essential to have an appropriate well-completion architecture and robust surveillance.
Five fiber-optic systems, each with a unique steam-conformance-control-completion configuration, have been installed in two horizontal steam injectors to help mature steam-injection-flow profiling and conformance-control solutions. These fiber-optic systems have used custom-designed fiber-optic bundles of multimode and single-mode fibers for distributed-temperature sensing (DTS) and distributed-acoustic sensing (DAS), respectively. Fiber-optic systems were also installed in a steam-injection-test-flow loop. All the optical fibers successfully acquired data in the wells and flow loop, measuring temperature and acoustic energy.
A portfolio of algorithms and signal-processing techniques was developed to interpret the DTS and DAS data for quantitative steam-injection-flow profiling. The heavily instrumented flow-loop environment was used to characterize DTS and DAS response in a design-of-experiment (DOE) matrix to improve the flow-profiling algorithms. These algorithms are dependent on independent physical principles derived from multiphase flow, thermal hydraulic models, acoustic effects, large-data-array processing, and combinations of these methods for both transient and steady-state steam flow. A high-confidence flow profile is computed using the convergence of the algorithms. The flow-profiling-algorithm results were further validated using 11 short-offset injector observation wells wells in the reservoir that confirmed steam movement near the injectors.
|File Size||2 MB||Number of Pages||21|
Boberg, T. C. and Lantz, R. B. 1966. Calculation of the Production Rate of a Thermally Stimulated Well. J Pet Technol 18 (12): 1613–1623. SPE-1578-PA. https://doi.org/10.2118/1578-PA.
Bukhamsin, A. and Horn, R. 2014. Using Distributed Acoustic Sensors to Optimize Production in Intelligent Wells. Presented at the SPE Annual Technical Conference and Exhibition, Amsterdam, 27–29 October. SPE-170679-MS. https://doi.org/10.2118/170679-MS.
ConocoPhillips. 2013. Annual Surmont SAGD Performance Review: Approvals 9426 and 11596, Surface Operations, April 2013.
Everitt, B. S., Landau, S., and Leese, M. 2001. Clustering Analysis, fourth edition. London: Arnold Press.
Finfer, D., Parker, T. R., Mahue, V. et al. 2015. Non-Intrusive Multiple Zone Distributed Acoustic Sensor Flow Metering. Presented at the SPE Annual Technical Conference and Exhibition, Houston, 28–30 September. SPE-174916-MS. https://doi.org/10.2118/174916-MS.
Foo, D. B., Krislock, J., Meador, T. J. et al. 2014. Horizontal Well Injection Profiling Using Distributed Temperature Sensing. Presented at the SPE/CSUR Unconventional Resources Conference, Calgary, 30 September–2 October. SPE-171586-MS. https://doi.org/10.2118/171586-MS.
Fram, J. H, Sims, J. C., Sequera, A. et al. 2010. Addressing Horizontal Steam Injection Completion Challenges With Chevron. Presented at the SPE Western Regional Meeting, Anaheim, California, 27–29 May. SPE-132410-MS. https://doi.org/10.2118/132410-MS.
Frooqnia, A. 2014. Numerical Simulation and Interpretation of Borehole Fluid-Production Measurements. PhD dissertation, University of Texas at Austin, Austin, Texas.
Frooqnia, A., A-Pour, R., Torres-Verdín, C. et al. 2011. Numerical Simulation and Interpretation of Production Logging Measurements Using a New Coupled Wellbore-Reservoir Model. Presented at the SPWLA 52nd Annual Logging Symposium, Colorado Springs, Colorado, 14–18 May. SPWLA-2011-VV.
Johannesen, K., Drakeley, B. K., and Farhadiroushan, M. 2012. Distributed Acoustic Sensing—A New Way of Listening to Your Well/Reservoir. Presented at the SPE Intelligent Energy International, Utrecht, Netherlands, 27–29 March. SPE-149602-MS. https://doi.org/10.2118/149602-MS.
Manly, B. F. J. 2005. Multivariate Statistical Methods: A Primer, third edition. London: Chapman and Hall.
Mayerhofer, M. J., Stegent, N. A., Barth, J. O. et al. 2011. Integrating Fracture Diagnostics and Engineering Data in the Marcellus Shale. Presented at the SPE Annual Technical Conference and Exhibition, Denver, 30 October–2 November. SPE-145463-MS. https://doi.org/10.2118/145463-MS.
McChesney, R. and Edlebeck, J. 2015. Design, Testing, and Field Performance of Steam Injection Flow-Control Devices for Use in SAGD Recovery. Presented at the SPE Canada Heavy Oil Technical Conference, Calgary, 9–11 June. https://doi.org/10.2118/174490-MS.
Molenaar, M. M., Hill, D., Webster, P. et al. 2011. First Downhole Application of Distributed Acoustic Sensing for Hydraulic-Fracturing Monitoring and Diagnostics. Presented at the SPE Hydraulic Fracturing Conference, The Woodlands, Texas, 24–26 January. SPE-140561-MS. https://doi.org/10.2118/140561-MS.
Noroozi, M., Melo, M., Montoya, J. et al. 2015. Optimizing Flow Control Devices in SAGD Operations: How Different Methodologies Are Functional. Presented at the SPE Thermal Well Integrity and Design Symposium, Banff, Canada, 23–25 November. SPE-178468-MS. https://doi.org/10.2118/178468-MS.
Paleja, R., Mustafina, D., In ’t Panhuis, P. 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.
Rahman, M., Zannitto, P. J., Reed, D. A. et al. 2011. Application of Fiber-Optic Distributed Temperature Sensing Technology for Monitoring Injection Profile in Belridge Field, Diatomite Reservoir. Presented at the SPE Digital Energy Conference and Exhibition, The Woodlands, Texas, 19–21 April. SPE-144116-MS. https://doi.org/10.2118/144116-MS.
Rodionov, D., Lachugin, D., Muslimov, E. et al. 2012. Injectivity Profile Monitoring and Hot Water Flooding Optimization for Horizontal Well 2G on Rospan’s Russkoe Heavy Oil Field Using DTS. Presented at the SPE Russian Oil and Gas Exploration and Production Technical Conference and Exhibition, Moscow, 16–18 October. SPE-159592-MS. https://doi.org/10.2118/159592-MS.
Shirdel, M. 2013. Development of a Coupled Wellbore/Reservoir Compositional Simulator for Damage Prediction and Remediation. PhD dissertation, University of Texas at Austin, Austin, Texas.
Shirdel, M. and Sepehrnoori, K. 2009. Development of a Coupled Compositional Wellbore Reservoir Simulator for Modeling Pressure and Temperature Distribution in Horizontal Wells. Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, 4–7 October. SPE-124806-MS. https://doi.org/10.2118/124806-MS.
Shirdel, M., Wells, M., Buell, R. S. et al. 2016. Methods, Apparatus, and Systems for Steam Flow Profiling. US Patent No. 20,160,281,494.
Vachon, G. P., Klaczek, W., Erickson, P. J. et al. 2015. Use of Flow Control Devices (FCDs) to Enforce Conformance in Steam Assisted Gravity Drainage (SAGD) Completions. Presented at the SPE Canada Heavy Oil Technical Conference, Calgary, 9–11 June. SPE-174416-MS. https://doi.org/10.2118/174416-MS.
van der Horst, J. 2015. Recent Advances in Fiber Optic Technology for In-Well Production and Injection Profiling. Presented at the International Petroleum Technology Conference, Doha, 6–9 December. IPTC-18563-MS. https://doi.org/10.2523/IPTC-18563-MS.
van der Horst, J., Den Boer, H., In ’t Panhuis, P. et al. 2014. Fiber Optic Sensing for Improved Wellbore Production Surveillance. Presented at the International Petroleum Technology Conference, Doha, 20–22 January. IPTC-17528-MS. https://doi.org/10.2523/IPTC-17528-MS.