4.7 Article

Numerical simulation of asphaltene deposition in porous media induced by solvent injection

Journal

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijheatmasstransfer.2021.121889

Keywords

Asphaltene deposition; Solvent injection; Liquid-liquid equilibrium; Solvent-based oil recovery; Partial upgrading; Upscaling

Funding

  1. Natural Sciences and Engineering Research Council of Canada (NSERC)
  2. SHARP Research Consortium: Canadian Natural Resources Limited (CNRL)
  3. Cenovus Energy
  4. Cono-coPhillips
  5. CNOOC International
  6. Husky Energy
  7. Imperial Oil Limited
  8. Kuwait Oil Company
  9. Osum Oil Sands
  10. Strathcona Resources
  11. Suncor Energy
  12. Department of Chemical and Petroleum Engineering at the University of Calgary
  13. Schulich School of Engineering at the University of Calgary

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Numerical simulations were conducted to investigate asphaltene deposition induced by solvent injection, revealing the interplay of viscous fingering and deposition, as well as the impact of DME injection on oil upgrading. The dynamics of viscous fingering were found to be independent of deposition rate and governed by viscosity ratio, while grid dependency of deposition presented a computational challenge. Scaling relations were developed to address this issue and pave the way for integrating LLE data in numerical simulations of asphaltene deposition.
We present numerical simulations of asphaltene deposition induced by solvent injection by the im-plementation of liquid-liquid equilibrium (LLE) data along with a reaction-based non-equilibrium mass transfer model. The interplay of viscous fingering and asphaltene deposition during the injection of dimethyl ether (DME) was studied. Our results reveal that one-dimensional approach fails to predict the real physics and underestimates the deposition. It is shown that DME injection leads to the upgrading of the produced oil. The results indicate that the dynamics of the viscous fingering are independent of the deposition rate and governed by the viscosity ratio. Our findings also suggest that grid dependency of deposition poses a computational challenge. To address this issue, we developed scaling relations to up-scale the fine-scale deposition rate to the coarse-grid numerical simulations. This study finds application in solvent-based recovery processes and paves the way for integrating LLE data in numerical simulation of asphaltene deposition. (c) 2021 Elsevier Ltd. All rights reserved.

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