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CFD and DEM modelling of particles plugging in shale pores

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  • Yang, Xianyu
  • Chen, Shuya
  • Shi, Yanping
  • Feng, Ruimin
  • Cai, Jihua
  • Jiang, Guosheng

Abstract

Nanoparticles plugging effect has recently been recognized in shale cores. However, the motional discipline and plugging efficiency of different nanoparticles in shale pores have not been well recognized. In this paper, an approach with CFD and DEM to model particulate suspension flows is presented in the micro scale for shale pores. The particle trajectory and the plugging efficiency can be obtained through the discrete particle model. To ensure rationality, a UDF program was written to correlate the standard drag curve, based on the critical examination of available data for spheres. Results indicate particle size and concentration are main factors affecting plugging efficiency. Meanwhile, particle velocity, pores roughness and tortuosity have a major impact on plugging effect. However, particle ratio, gravity, rotation, density, shape and roughness have little effect on plugging efficiency. And the simulation results (particles sizes and concentration) are verified by theoretical formula and experimental results from the literature view, the fitness increases the credibility and applicability. The established model provides an effective method for investigating different particle release parameters. It also has a reference value for the range of variation of nano or micro particle blocking pore efficiency at the microscopic scale.

Suggested Citation

  • Yang, Xianyu & Chen, Shuya & Shi, Yanping & Feng, Ruimin & Cai, Jihua & Jiang, Guosheng, 2019. "CFD and DEM modelling of particles plugging in shale pores," Energy, Elsevier, vol. 174(C), pages 1026-1038.
    • Handle: RePEc:eee:energy:v:174:y:2019:i:c:p:1026-1038
    DOI: 10.1016/j.energy.2019.03.050
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    References listed on IDEAS

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    Cited by:

    1. Yang, Xianyu & Xie, Jingyu & Ye, Xiaoping & Chen, Shuya & Jiang, Guosheng & Cai, Jihua & Shi, Yanping & Yue, Ye & Xue, Man & Dai, Zhaokai & Fang, Changliang, 2023. "Sealing characteristics and discrete element fluid dynamics analysis of nanofiber in nanoscale shale pores: Modeling and prediction," Energy, Elsevier, vol. 273(C).
    2. Zhao, Jian & Liao, Hualin & Xu, Yiji & Shi, Fengxia & Sun, Baojing & Chang, Fangrui & Han, Xiaoqiang, 2023. "Experimental and theoretical evaluation of tubing cutting with rotating particle jet in oil and gas borehole operation," Energy, Elsevier, vol. 282(C).
    3. Kasala, Erasto E. & Wang, Jinjie & Lwazi, Hussein M. & Nyakilla, Edwin E. & Kibonye, John S., 2024. "The influence of hydraulic fracture and reservoir parameters on the storage of CO2 and enhancing CH4 recovery in Yanchang formation," Energy, Elsevier, vol. 296(C).
    4. Mahdavifar, Mehdi & Roozshenas, Ali Akbar & Miri, Rohaldin, 2023. "Microfluidic experiments and numerical modeling of pore-scale Asphaltene deposition: Insights and predictive capabilities," Energy, Elsevier, vol. 283(C).
    5. Yang, Xianyu & Cai, Jihua & Jiang, Guosheng & Zhang, Yungen & Shi, Yanping & Chen, Shuya & Yue, Ye & Wei, Zhaohui & Yin, Dezhan & Li, Hua, 2022. "Modeling of nanoparticle fluid microscopic plugging effect on horizontal and vertical wellbore of shale gas," Energy, Elsevier, vol. 239(PB).
    6. Zhaokai Wang & Longcang Shu & Xiaoru Su & Shuyao Niu, 2021. "Evaluating Particle Deposition in the Artificial Groundwater Recharge Process by Physical and CT Imaging Experiments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4789-4807, November.
    7. Yang, Xianyu & Cai, Jihua & Jiang, Guosheng & Xie, Jingyu & Shi, Yanping & Chen, Shuya & Yue, Ye & Yu, Lang & He, Yichao & Xie, Kunzhi, 2020. "Nanoparticle plugging prediction of shale pores: A numerical and experimental study," Energy, Elsevier, vol. 208(C).

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