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<p>The depletion of conventional oil reserves and rising global energy demand necessitate efficient extraction methods for unconventional resources like heavy oil. This study successfully applies the coupling of chemical reaction kinetics with fluid dynamics in porous media for in-situ heavy oil upgrading, extending existing models to dynamic conditions. Using advanced kinetic modeling and Computational Fluid Dynamics (CFD), catalytic reactions are analyzed employing a Ni–W–Mo catalyst. The primary aim of this study is to investigate the effects of temperature, oil composition, and residence time on the upgrading process and the resulting product distribution. Simulations were first performed in a non-porous batch reactor to identify optimal reaction conditions, followed by modeling reactive flow in porous media to better simulate real-world reservoir conditions. The results show that temperature and residence time significantly influence conversion rates and product yields, with a 30% increase in lighter hydrocarbon production as the reaction temperature is raised from 575 to 700 K. These findings emphasize the importance of dynamic modeling in optimizing in-situ upgrading processes and provide insights into improving unconventional oil recovery techniques. This research provides a comprehensive framework to enhance the understanding of complex chemical and hydrodynamic interactions in porous media, contributing to the development of more effective oil recovery strategies for unconventional resources.</p>

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Kinetic modeling and CFD simulation of in-situ heavy oil upgrading using batch reactors and porous media

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年4月21日

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  • Arman Aryanzadeh,
  • Arezou Jafari,
  • Mahdi Abdi-Khanghah

摘要

The depletion of conventional oil reserves and rising global energy demand necessitate efficient extraction methods for unconventional resources like heavy oil. This study successfully applies the coupling of chemical reaction kinetics with fluid dynamics in porous media for in-situ heavy oil upgrading, extending existing models to dynamic conditions. Using advanced kinetic modeling and Computational Fluid Dynamics (CFD), catalytic reactions are analyzed employing a Ni–W–Mo catalyst. The primary aim of this study is to investigate the effects of temperature, oil composition, and residence time on the upgrading process and the resulting product distribution. Simulations were first performed in a non-porous batch reactor to identify optimal reaction conditions, followed by modeling reactive flow in porous media to better simulate real-world reservoir conditions. The results show that temperature and residence time significantly influence conversion rates and product yields, with a 30% increase in lighter hydrocarbon production as the reaction temperature is raised from 575 to 700 K. These findings emphasize the importance of dynamic modeling in optimizing in-situ upgrading processes and provide insights into improving unconventional oil recovery techniques. This research provides a comprehensive framework to enhance the understanding of complex chemical and hydrodynamic interactions in porous media, contributing to the development of more effective oil recovery strategies for unconventional resources.