A Basis for Automated Control of Steam Trap Subcool in SAGD
- Dharmeshkumar R. Gotawala (University of Calgary) | Ian D. Gates (University of Calgary)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- September 2012
- Document Type
- Journal Paper
- 680 - 686
- 2012. Society of Petroleum Engineers
- 2.3 Completion Monitoring Systems/Intelligent Wells, 5.1.1 Exploration, Development, Structural Geology, 5.8.5 Oil Sand, Oil Shale, Bitumen, 5.3.9 Steam Assisted Gravity Drainage, 5.4.6 Thermal Methods
- 9 in the last 30 days
- 757 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 10.00|
|SPE Non-Member Price:||USD 30.00|
Full steam conformance along the well pair of the steam-assisted gravity-drainage (SAGD) oil-sands-recovery process is essential for high thermal efficiency. Conformance can be improved by controlling injection and production strategies to ensure that steam is delivered to target regions in the reservoir. Smart wells use interval-control valves (ICVs) that, conceptually, can be dynamically controlled to yield uniform steam injectivity along the well pair. Dynamic control algorithms, such as proportional-integral-derivative (PID) control and their associated controller parameters, have not yet been developed for the SAGD processes that use ICVs. One control strategy would be to control the interwell subcool temperature difference--that is, the difference between the steam-injection temperature and the produced-fluids temperature. If this temperature difference is small, then the liquid pool above the production well is small and there is a likelihood of live steam production from the chamber. On the other hand, if the difference is large, the pool may rise above the injection well and gravity drainage is hindered because the chamber is largely filled with liquid. Here, the focus is on developing a simple, approximate theory for the behavior of the liquid pool at the base of the steam chamber to determine the ranges of values of control parameters to achieve a targeted interwell subcool temperature difference.
|File Size||3 MB||Number of Pages||7|
Bacon, R.M., Scott, G.R., Youck, D.G. et al. 2000. Steam distribution andproduction of hydrocarbons in a horizontal well. US Patent No. 6,158,510.
Brouwer, D.R. and Jansen, J.-D. 2004. Dynamic Optmization of Water FloodingWith Smart Wells Using Optimal Control Theory. SPE J. 9(4): 391-402. SPE-78278-PA. http://dx.doi.org/10.2118/78278-PA.
Brouwer, D.R., Nævdal, G., Jansen, J.-D. et al. 2004. Improved ReservoirManagement Through Optimal Control and Continuous Model Updating. Paper SPE90149 presented at the SPE Annual Technical Conference and Exhibition, Houston,26-29 September. http://dx.doi.org/10.2118/90149-MS.
ConocoPhillips. 2008. ERCB Annual Update: Surmont Project. In-Situ ProcessReport, Alberta Energy Resources Conservation Board, Calgary, Alberta (4 June2008), http://www.ercb.ca/portal/server.pt/gateway/PTARGS_0_0_303_263_0_43/http%3B/ercbcontent/publishedcontent/publish/ercb_home/industry_zone/industry_activity_and_data/in_situ_progress_reports/2008/(accessed 27 February 2011).
Edmunds, N. and Gittins, S.D. 1993. Effective Application of Steam AssistedGravity Drainage of Bitumen to Long Horizontal Well Pairs. J Can PetTechnol 32 (6): 49-55. PETSOC-93-06-05. http://dx.doi.org/10.2118/93-06-05.
Edmunds, N.R. 1998. Investigation of SAGD Steam Trap Control in Two andThree Dimensions. Paper SPE 50413 presented at the SPE International Conferenceon Horizontal Well Technology, Calgary, 1-4 November. http://dx.doi.org/10.2118/50413-MS.
Gates, I.D., Adams, J.J., and Larter, S.R. 2008. The Impact of Oil ViscosityHeterogeneity on the Production Characteristics of Tar Sand and Heavy OilReservoirs. Part II: Intelligent, Geotailored Recovery Processes inCompositionally Graded Reservoirs. J Can Pet Technol 47(9): 40-49. JCPT Paper No. 08-09-40. http://dx.doi.org/10.2118/08-09-40.
Gates, I.D. and Leskiw, C. 2010. Impact of steam trap control on performanceof steam-assisted gravity drainage. J. Pet. Sci. Eng. 75(1-2): 215-222. http://dx.doi.org/10.1016/j.petrol.2010.11.014.
Gotawala, D.R. 2011. Non-Uniform SAGD Steam Chambers: Evolution, Control,and Optimization. PhD thesis, University of Calgary, Calgary, Alberta.
Gotawala, D.R. and Gates, I.D. 2009. SAGD Subcool Control with SmartInjection Wells. Paper SPE 122014 presented at the EUROPEC/EAGE Conference andExhibition, Amsterdam, 8-11 June. http://dx.doi.org/10.2118/122014-MS.
Ito, Y. and Suzuki, S. 1999. Numerical Simulation of the SAGD Process In theHangingstone Oil Sands Reservoir. J Can Pet Technol 38 (9):27-35. PETSOC-99-09-02. http://dx.doi.org/10.2118/99-09-02.
Komery, D.P., Luhning, R.W., and O'Rourke, J.G. 1999. TowardsCommercialization of the UTF Project Using Surface Drilled Horizontal SAGDWells. J Can Pet Technol 38 (9): 36-43. PETSOC-99-09-03. http://dx.doi.org/10.2118/99-09-03.
Saputelli, L., Nikolaou, M., and Economides, M.J. 2005. Self-LearningReservoir Management. SPE Res Eval & Eng 8 (6):534-547. SPE 84064-PA. http://dx.doi.org/10.2118/84064-PA.
Singhal, A.K., Ito, Y., and Kasraie, M. 1998. Screening and Design Criteriafor Steam Assisted Gravity Drainage (SAGD) Projects. Paper SPE 50410 presentedat the SPE International Conference on Horizontal Well Technology, Calgary, 1-4November. http://dx.doi.org/10.2118/50410-MS.
Stephanopoulos, G. 1984. Chemical Process Control: An Introduction toTheory and Practice. Englewood Cliffs, New Jersey: International Series onthe Physical and Chemical Engineering Sciences, PTR Prentice Hall.