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Sealing characteristics and discrete element fluid dynamics analysis of nanofiber in nanoscale shale pores: Modeling and prediction

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  • Yang, Xianyu
  • Xie, Jingyu
  • Ye, Xiaoping
  • Chen, Shuya
  • Jiang, Guosheng
  • Cai, Jihua
  • Shi, Yanping
  • Yue, Ye
  • Xue, Man
  • Dai, Zhaokai
  • Fang, Changliang

Abstract

The nanoscale pores in shale oil and gas are often filled with external nanomaterials to enhance wellbore stability and improve energy production. And there has been considerable research on discrete element blocking models and simulation about nanoparticles. However, nanomaterials are not just nanoparticles and there are few researches on fiber-based discrete element dynamics sealing calculations. Moreover, nanofibers have better sealing efficiency relative to nanoparticles. In this paper, a fiber-based discrete element fluid-solid coupling sealing model was established to clarify the dynamic migration and sealing process of nanofibers in shale pores. The innovative nanofiber model guarantees real-time force deformation and bendability during nanofiber flow process. The factors influencing sealing efficiency on shale pores with fiber concentration, aspect ratio, diameter, density, stiffness, rotation and Poisson's ratio have been conducted. Furthermore, the simulation results with and without fiber were certified by theoretical and experimental results which increased the credibility and applicability. Results indicate that the sealing efficiency increases by 69.40%, 139.12%, and 254.89%, respectively, as the fiber concentration increases from 0.5% to 1%, 1.5% and 2%. The increase in sealing efficiency is not linear for fiber concentration. The sealing efficiency is almost the highest as the ratio of aspect ratio is 1:15 in the initial stage of sealing. And fiber diameter with 1/15 of the pore outlet diameter is a reasonable choice if economical applicability is considered based on the sealing process. Furthermore, practice has proved that the sealing effect of bendable fibers is increased by 14.50% compared with non-bendable fibers. The bending of the fiber can improve the efficiency of shale pore sealing. And the research can provide theoretical and technical support for the nanofiber optimization of sealing nanopores of shale oil and gas.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:273:y:2023:i:c:s0360544223006230
    DOI: 10.1016/j.energy.2023.127229
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    1. Payne, James E., 2009. "On the dynamics of energy consumption and output in the US," Applied Energy, Elsevier, vol. 86(4), pages 575-577, April.
    2. Omer, Abdeen Mustafa, 2008. "Energy, environment and sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2265-2300, December.
    3. Abbas, Ahmed K. & Bashikh, Ali A. & Abbas, Hayder & Mohammed, Haider Q., 2019. "Intelligent decisions to stop or mitigate lost circulation based on machine learning," Energy, Elsevier, vol. 183(C), pages 1104-1113.
    4. Yang, Hongwei & Li, Jun & Zhang, Hui & Jiang, Jiwei & Guo, Boyun & Zhang, Geng, 2022. "Numerical analysis of heat transfer rate and wellbore temperature distribution under different circulating modes of Reel-well drilling," Energy, Elsevier, vol. 254(PB).
    5. Muhammad Ali & Husna Hayati Jarni & Adnan Aftab & Abdul Razak Ismail & Noori M. Cata Saady & Muhammad Faraz Sahito & Alireza Keshavarz & Stefan Iglauer & Mohammad Sarmadivaleh, 2020. "Nanomaterial-Based Drilling Fluids for Exploitation of Unconventional Reservoirs: A Review," Energies, MDPI, vol. 13(13), pages 1-30, July.
    6. 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.
    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).
    8. Xu, Chengyuan & Yan, Xiaopeng & Kang, Yili & You, Lijun & You, Zhenjiang & Zhang, Hao & Zhang, Jingyi, 2019. "Friction coefficient: A significant parameter for lost circulation control and material selection in naturally fractured reservoir," Energy, Elsevier, vol. 174(C), pages 1012-1025.
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