Approximate Physics-Discrete Simulation of the Steam-Chamber Evolution in Steam-Assisted Gravity Drainage
- Enrique C. Gallardo (University of Alberta) | Clayton V. Deutsch (University of Alberta)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- April 2019
- Document Type
- Journal Paper
- 477 - 491
- 2019.Society of Petroleum Engineers
- Steam-Chamber Evolution, Steam-Assisted Gravity Drainage (SAGD), Approximate Physics, Discrete Simulation, Graph Theory
- 14 in the last 30 days
- 142 since 2007
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Steam-assisted gravity drainage (SAGD) is a thermal-recovery process to produce bitumen from oil sands. In this technology, steam injected in the reservoir creates a constantly evolving steam chamber while heated bitumen drains to a production well. Understanding the geometry and the rate of growth of the steam chamber is necessary to manage an economically successful SAGD project. This work introduces an approximate physics-discrete simulator (APDS) to model the steam-chamber evolution. The algorithm is formulated and implemented using graph theory, simplified porous-media flow equations, heat-transfer concepts, and ideas from discrete simulation. The APDS predicts the steam-chamber evolution in heterogeneous reservoirs and is computationally efficient enough to be applied over multiple geostatistical realizations to support decisions in the presence of geological uncertainty. The APDS is expected to be useful for selecting well-pair locations and operational strategies, 4D-seismic integration in SAGD-reservoir characterization, and caprock-integrity assessment.
|File Size||2 MB||Number of Pages||15|
Azad, A. and Chalaturnyk, R. J. 2012. An Improved SAGD Analytical Simulator: Circular Steam Chamber Geometry. Journal of Petroleum Science and Engineering 82–83: 27–37. https://doi.org/10.1016/j.petrol.2012.01.003.
Butler, R. M., Mcnab, G. S., and Lo, H. Y. 1981. Theoretical Studies on the Gravity Drainage of Heavy Oil During In-Situ Steam Heating. The Canadian Journal of Chemical Engineering 59 (4): 455–460. https://doi.org/10.1002/cjce.5450590407.
Butler, R. M. and Stephens, D. J. 1981. The Gravity Drainage of Steam-Heated Heavy Oil to Parallel Horizontal Wells. J Can Pet Technol 20 (2): 90–96. PETSOC-81-02-07. https://doi.org/10.2118/81-02-07.
Butler, R. M. 1985. A New Approach to the Modelling of Steam-Assisted Gravity Drainage. J Can Pet Technol 24 (3): 42–51. PETSOC-85-03-01. https://doi.org/10.2118/85-03-01.
Butler, R. M. 1991. Thermal Recovery of Oil and Bitumen. Englewood Cliff, New Jersey: Prentice-Hall.
Card, C. C., Kumar, A., Close, J. C. et al. 2014. A New and Practical Workflow for Large Multipad SAGD Simulation—An Oil-Sands Case Study. J Can Pet Technol 53 (1): 14–31. SPE-165511-PA. https://doi.org/10.2118/165511-PA.
Chalaturnyk, R. J. and Li, P. 2004. When Is It Important to Consider Geomechanics in SAGD Operations? J Can Pet Technol 43 (4): 53–61. PETSOC-04-04-05. https://doi.org/10.2118/04-04-05.
CMG. 2010. STARS User’s Guide. Calgary: Computer Modelling Group Ltd.
Cokar, M., Kallos, M. S., and Gates, I. D. 2013. A New Thermogeomechanical Theory for Gravity Drainage in Steam-Assisted Gravity Drainage. SPE J. 18 (4): 736–742. SPE-163136-PA. https://doi.org/10.2118/163136-PA.
Collins, P. M. 2007. Geomechanical Effects on the SAGD Process. SPE Res Eval & Eng 10 (4): 367–375. SPE-97905-PA. https://doi.org/10.2118/97905-PA.
Deo, N. and Pang, C.-Y. 1984. Shortest-Path Algorithms: Taxonomy and Annotation. Networks 14 (2): 275–323. https://doi.org/10.1002/net.3230140208.
Dijkstra, E. W. 1959. A Note on Two Problems in Connection With Graphs. Numer. Math. 1 (1): 269–271. https://doi.org/10.1007/BF01386390.
Even, S. 2011. Graph Algorithms. Cambridge: Cambridge University Press.
Fatt, I. 1956. The Network Model of Porous Media. Petroleum Trans., AIME 207 144–181. SPE-574-G. https://doi.org/10.2118/574-G.
Hadavand, M. and Deutsch, C. V. 2017. A Practical Methodology for Integration of 4D Seismic in Steam-Assisted-Gravity-Drainage Reservoir Characterization. SPE Res Eval & Eng 20 (2): 353–362. SPE-184390-PA. https://doi.org/10.2118/184390-PA.
Irani, M. and Cokar, M. 2016. Discussion on the Effects of Temperature on Thermal Properties in the Steam-Assisted-Gravity-Drainage (SAGD) Process. Part 1: Thermal Conductivity. SPE J. 21 (2): 334–352. SPE-178426-PA. https://doi.org/10.2118/178426-PA.
Oren, P.-E., Bakke, S., and Arntzen, O. J. 1998. Extending Predictive Capabilities to Network Models. SPE J. 3 (4): 324–336. SPE-52052-PA. https://doi.org/10.2118/52052-PA.
Ortega-Arranz, H., Llanos R. D., and Gonzalez-Escribano, A. 2015. The Shortest-Path Problem: Analysis and Comparison of Methods. Morgan & Claypool.
Pathak, V., Tran, D., and Kumar, A. 2014. Quantifying the Uncertainty Associated With Caprock Integrity During SAGD Using Coupled Geomechanics Thermal Reservoir Simulation. Presented at the SPE Heavy Oil Conference–Canada, Calgary, 10–12 June. SPE-170130-MS. https://doi.org/10.2118/170130-MS.
Pyrcz, M. J. and Deutsch, C. V. 2014. Geostatistical Reservoir Modeling, second edition. New York: Oxford University Press.
Reis, J. C. 1992. A Steam-Assisted Gravity-Drainage Model for Tar Sands: Linear Geometry. J Can Pet Technol 31 (10): 14–20. PETSOC-92-10-01. https://doi.org/10.2118/92-10-01.
Voloshin, V. I. 2009. Introduction to Graph Theory. New York: Nova Science Publishers, Inc.
Wang, C. and Leung, J. 2015. Characterizing the Effects of Lean Zones and Shale Distribution in Steam-Assisted-Gravity-Drainage Recovery Performance. SPE Res Eval & Eng 18 (3): 329–345. SPE-170101-PA. https://doi.org/10.2118/170101-PA.
Xu, J., Chen, Z., Cao, J. et al. 2014. Numerical Study of the Effects of Lean Zones on SAGD Performance in Periodically Heterogeneous Media. Presented at the SPE Heavy Oil Conference–Canada, Calgary, 10–12 June. SPE-170138-MS. https://doi.org/10.2118/170138-MS.