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http://dx.doi.org/10.9719/EEG.2017.50.3.225

A Comparative Study on the Measures Determining Optimal SAGD Locations Based on Geostatistical and Multiphysics Simulations  

Kwon, Mijin (Technology Institute, Korea Radioactive Waste Agency (KORAD))
Jeong, Jina (Korea Institute of Geoscience and Mineral Resources (KIGAM))
Lee, Hyunsuk (Korea Institute of Geoscience and Mineral Resources (KIGAM))
Park, Jin Beak (Technology Institute, Korea Radioactive Waste Agency (KORAD))
Park, Eungyu (Department of Geology, Kyungpook National University)
Publication Information
Economic and Environmental Geology / v.50, no.3, 2017 , pp. 225-238 More about this Journal
Abstract
In this study, two viable measures of mean length and cumulative thickness of sand layers as important spatial statistics responsible for optimal SAGD (Steam Assisted Gravity Drainage) location for oil sand development were compared. For the comparisons, various deposits composed of sand and clay media were realized using a geostatistical simulator and the extent of steam chamber is simulated using multiphysics numerical simulator (dualphase flow and heat transfer). Based on the spatial statistics of each realization and the corresponding size of simulated steam chamber, the representativeness of two candidate measures (cumulative thickness and mean length of permeable media) were compared. The results of the geostatistical and SAGD simulations suggest that the mean length of permeable media is better correlated to the size of steam chamber than the cumulative thickness. Given those two-dimensional results, it is concluded that the cumulative thickness of the permeable media alone may not be a sufficient criterion for determining an optimal SAGD location and the mean length needs to be complementarily considered for the sound selections.
Keywords
oil sand; SAGD; cumulative thickness; mean length; steam chamber;
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  • Reference
1 Energy Information Administration. (2009) International Energy Outlook May 2009. 274p.
2 Gates, I.D. and Chakrabarty, N. (2008) Design of the steam and solvent injection strategy in expanding-solvent steam-assisted gravity drainage. J. Can. Pet. Tech., v.47(9), p.12-19.
3 Kwon, Y. (2008) Geology of Athabasca oil sands in Canada. Korean J. Pet. Geol., v.14, p.1-11.
4 Park, E. (2010) A multidimensional generalized coupled Markov chain model for surface and subsurface characterization. Water Resour. Res., v.46, W11509.
5 Shin, H. and Polikar, M. (2005) Optimizing the SAGD process in three major Canadian oil-sands areas. SPE Annu. Tech. Conf. Exhibition, p.9-12.
6 Van Genuchten, M.T. (1980) A closed-form equation for predicting the hydraulic of conductivity of unsaturated soils. Soil Sci. Soc. Am. J., v.44(5), p.892-898.   DOI
7 Van der Hoeven, M. (2012) World energy outlook 2012. Int. Energy Agency. Paris. 668p.
8 Chen, Q. (2009) Assessing and improving steam-assisted gravity drainage: Reservoir heterogeneities, hydraulic fractures, and mobility control foams. ProQuest, UMI Dissertation Publishing.
9 Bear, J. and Bachmat, Y. (1990) Introduction to modeling of transport phenomena in porous media. Kluwer Academic, Dordrecht, 553p.
10 Acton, Q.A. (2013) Oxygen compounds-advances in research and application. ScholarlyEditions, Atalanta, Georgia. 809p.
11 Carsel, R.F. and Parrish, R.S. (1988) Developing joint probability distributions of soil and water retention characteristic. Water Resour. Res., v.24(5), p.755-769.   DOI
12 Butler, R.M. (1998) Thermal recovery of oil and bitumen, Prentice-Hall, Inc., Calgary, Alberta. 528p.
13 Carle, S.F. and Fogg, G.E. (1996) Transition probability based indicator geostatistics. J. Inter. Assoc. Math. Geol., v.28, p.453-477.