Effect of Solvent Concentration on Scaling Butane Solvent Enhanced Oil Recovery Processes Using Reservoir Simulation

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Understanding scaling of enhanced oil/bitumen recovery processes is essential in moving laboratory scale experimental results to field scale. Scaling theory for thermal processes is well understood and has been applied to steam processes. However, scaling of hybrid steam (thermal) /solvent (mass transfer) processes is still not well defined nor well understood. This paper investigates the scaling behavior of hybrid steam/butane gravity drainage processes using reservoir simulation (commercial thermal compositional simulator CMG STARSTM). Previous research has used reservoir simulation to confirm scaling groups for waterflooding. A similar strategy was used in this study whereby the scaling of a hybrid (steam) solvent oil recovery process was examined using reservoir simulations at three different reservoir scales: lab scale, semi-field scale and field scale to examine the influence of the mass transfer mechanisms of diffusion and dispersion on the scalability of the process. In particular, the influence of butane solvent concentration on scaling a steam/butane gravity drainage process was investigated by considering several butane mole fraction concentrations injected with steam (1%, 2%, 5%, 7%, 10%, 15%, 21%, 25% and 50%). Temperature contours, and mole fraction contours of butane in both the oil and gas phases were examined for various solvent injection concentrations to examine scalability. Numerical results are provided with no diffusion and dispersion, diffusion only, dispersion only and with both diffusion and dispersion added to the simulations. Results confirmed scalability of the process with no capillary effects when the simulation results were non-dimensionalized, although there were some issues with material balance errors in some of the simulation results particularly at high solvent concentrations. For low injection concentrations, the contours were almost identical (indicating scalability) for the three scales for the operating condition studied. In addition, capillary effects were also studied, and similar to scaling thermal processes, the capillarity effects influenced scalability of the process under the conditions studied particularly at higher injection concentrations. Scalability using reservoir simulation was generally preserved with low injection concentrations, but unusual behavior was observed at higher injection concentrations (>5%). Oil recovery curves were non-dimensionalized to make comparisons amongst the three scales. The oil recovery curves displayed an unusual S-shaped behavior at higher injection concentrations when capillary effects were included especially for the lab and semi-field scales. In all cases when all of the mechanisms are included (diffusion, dispersion and capillary effects), Scale 1 shows a much faster recovery than Scale 3 which suggests that the lab scale might temporally overestimate the field scale recovery for this particular process scenario.

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Diffusion Foundations (Volume 27)

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136-165

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May 2020

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© 2020 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. Geertsma, G.A. Croes, and N. Schwarz, Theory of Dimensionally Scaled Models of Petroleum Reservoirs,, Petroleum Transactions, AIME, Vol. 207, pp.118-127. SPE-539-G, (1956).

DOI: 10.2118/539-g

Google Scholar

[2] L. Pujol and T.C. Boberg, Scaling Accuracy of Laboratory Steam Flooding Models, SPE Paper 4191, SPE California Regional Meeting, 8-10 November, Bakersfield, California, (1972).

DOI: 10.2118/4191-ms

Google Scholar

[3] K. Kimber, High Pressure Scaled Model Design Techniques for Thermal Recovery Processes,, PhD Thesis, University of Alberta, Edmonton, Alberta, (1989).

Google Scholar

[4] K. Kimber, S.M. Farouq Ali, New Options for Scaling Steam Injection Experiments,, Presented at the SPE California Regional Meeting, Bakersfield, CA, 5-7 April, SPE-18751-MS. https://doi.org/10.2118/18751-MS, (1989).

DOI: 10.2118/18751-ms

Google Scholar

[5] M. Shook, D. Li and L.W. Lake, Scaling Immiscible Flow Through Permeable Media by Inspectional Analysis, In Situ, 16(4), pp.311-349, (1992).

Google Scholar

[6] Butler, R. M, Thermal Recovery of Oil and Bitumen,, Calgary, Alberta, GravDrain Inc., (2000).

Google Scholar

[7] Climate Change. (n.d). In Wikipedia. Retrieved July 23, 2019, from https://en.wikipedia.org/wiki/History_of_climate_change_science.

Google Scholar

[8] M. Ardali, M. Barrufet, D. Mamora, and F. Qiu, A Critical Review of Hybrid Steam/Solvent Processes for the Recovery of Heavy Oil and Bitumen,, Society of Petroleum Engineers.

DOI: 10.2118/159257-ms

Google Scholar

[9] N.R. Edmunds, Observations on the Mechanism of Solvent-Additive SAGD Processes,, SPE Paper 165419 presented at the SPE Heavy Oil Conference Canada held in Calgary, Alberta, Canada, 11-13 June, https://doi.org/10.2118/165419-MS (2013).

Google Scholar

[10] J.E. Nenniger and S.G. Dunn, How Fast is Solvent Based Gravity Drainage,, PETSOC-2008-139, Canadian International Petroleum Conference, 17-19, Calgary, Alberta, Petroleum Society of Canada, https://doi.org/10.2118/2008-139 (2008).

DOI: 10.2118/2008-139

Google Scholar

[11] S. Lorimer, B. Meza Diaz, R. Sawatzky, and X. Huang, Scaling Criteria for Hybrid Steam-Solvent Processes,, accepted for publication at SPE ATCE (Society of Petroleum Engineering Annual Technical Conference and Exhibition) SPE 195970-MS, Calgary, Alberta, 30 Sept. – 2 Oct., 32 pages, (2019).

DOI: 10.2118/195970-ms

Google Scholar