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使用间歇式反应器和多孔介质进行原位重油升级的动力学建模与计算流体动力学模拟

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

作者信息

Aryanzadeh Arman, Jafari Arezou, Abdi-Khanghah Mahdi

机构信息

Chemical Engineering Department, Tarbiat Modarres University, Tehran, Iran.

出版信息

Sci Rep. 2025 Apr 21;15(1):13667. doi: 10.1038/s41598-025-98494-y.

DOI:10.1038/s41598-025-98494-y
PMID:40258906
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12012214/
Abstract

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.

摘要

常规石油储量的枯竭以及全球能源需求的不断增长,使得高效开采重油等非常规资源的方法成为必要。本研究成功地将化学反应动力学与多孔介质中的流体动力学相结合,用于原位重油升级,将现有模型扩展到动态条件。使用先进的动力学建模和计算流体动力学(CFD),采用Ni-W-Mo催化剂分析催化反应。本研究的主要目的是研究温度、油组成和停留时间对升级过程及所得产物分布的影响。首先在无孔间歇反应器中进行模拟以确定最佳反应条件,然后对多孔介质中的反应流进行建模,以更好地模拟实际储层条件。结果表明,温度和停留时间对转化率和产物产率有显著影响,当反应温度从575 K升高到700 K时,轻质烃产量增加30%。这些发现强调了动态建模在优化原位升级过程中的重要性,并为改进非常规石油开采技术提供了见解。本研究提供了一个全面的框架,以增强对多孔介质中复杂化学和流体动力学相互作用的理解,有助于开发更有效的非常规资源石油开采策略。

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本文引用的文献

1
Renewable Hydrocarbon Production from Waste Cottonseed Oil Pyrolysis and Catalytic Upgrading of Vapors with Mo-Co and Mo-Ni Catalysts Supported on γ-AlO.由废棉籽油热解及用负载于γ-氧化铝上的钼-钴和钼-镍催化剂对蒸汽进行催化升级来生产可再生烃类
Nanomaterials (Basel). 2021 Jun 24;11(7):1659. doi: 10.3390/nano11071659.
2
Reactive Flows in Porous Media: Challenges in Theoretical and Numerical Methods.多孔介质中的反应流:理论和数值方法的挑战。
Annu Rev Chem Biomol Eng. 2021 Jun 7;12:543-571. doi: 10.1146/annurev-chembioeng-092920-102703. Epub 2021 Mar 30.
3
Application of carbon nanocatalysts in upgrading heavy crude oil assisted with microwave heating.
碳纳米催化剂在微波加热辅助下提升重质原油的应用。
Nano Lett. 2014 Jun 11;14(6):3002-8. doi: 10.1021/nl500484d. Epub 2014 May 7.