IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v273y2023ics0360544223006230.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223006230
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.127229?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Jiangtao & Zhou, Xiaofeng & Gayubov, Abdumalik & Shamil, Sultanov, 2023. "Study on production performance characteristics of horizontal wells in low permeability and tight oil reservoirs," Energy, Elsevier, vol. 284(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Kang, Yili & Ma, Chenglin & Xu, Chengyuan & You, Lijun & You, Zhenjiang, 2023. "Prediction of drilling fluid lost-circulation zone based on deep learning," Energy, Elsevier, vol. 276(C).
    3. Xu, Chengyuan & Xie, Zhichao & Kang, Yili & Yu, Guoyi & You, Zhenjiang & You, Lijun & Zhang, Jingyi & Yan, Xiaopeng, 2020. "A novel material evaluation method for lost circulation control and formation damage prevention in deep fractured tight reservoir," Energy, Elsevier, vol. 210(C).
    4. Omri, Anis, 2014. "An international literature survey on energy-economic growth nexus: Evidence from country-specific studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 951-959.
    5. Mohammed A. Al-Ghamdi & Khalid S. Al-Gahtani, 2022. "Integrated Value Engineering and Life Cycle Cost Modeling for HVAC System Selection," Sustainability, MDPI, vol. 14(4), pages 1-30, February.
    6. Marius Dalian Doran & Maria Magdalena Poenaru & Alexandra Lucia Zaharia & Sorana Vătavu & Oana Ramona Lobonț, 2022. "Fiscal Policy, Growth, Financial Development and Renewable Energy in Romania: An Autoregressive Distributed Lag Model with Evidence for Growth Hypothesis," Energies, MDPI, vol. 16(1), pages 1-18, December.
    7. Anna Laura Pisello & Gloria Pignatta & Veronica Lucia Castaldo & Franco Cotana, 2014. "Experimental Analysis of Natural Gravel Covering as Cool Roofing and Cool Pavement," Sustainability, MDPI, vol. 6(8), pages 1-17, July.
    8. Apergis, Nicholas & Payne, James E., 2011. "The renewable energy consumption-growth nexus in Central America," Applied Energy, Elsevier, vol. 88(1), pages 343-347, January.
    9. Jeonghwa Cha & Kyungbo Park & Hangook Kim & Jongyi Hong, 2023. "Crisis Index Prediction Based on Momentum Theory and Earnings Downside Risk Theory: Focusing on South Korea’s Energy Industry," Energies, MDPI, vol. 16(5), pages 1-20, February.
    10. Tang, Rui & Li, Hangxin & Wang, Shengwei, 2019. "A game theory-based decentralized control strategy for power demand management of building cluster using thermal mass and energy storage," Applied Energy, Elsevier, vol. 242(C), pages 809-820.
    11. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Optimization design of BCHP system to maximize to save energy and reduce environmental impact," Energy, Elsevier, vol. 35(8), pages 3388-3398.
    12. Ozturk, Ilhan & Acaravci, Ali, 2010. "The causal relationship between energy consumption and GDP in Albania, Bulgaria, Hungary and Romania: Evidence from ARDL bound testing approach," Applied Energy, Elsevier, vol. 87(6), pages 1938-1943, June.
    13. Anna Barwińska Małajowicz & Miroslava Knapková & Krzysztof Szczotka & Miriam Martinkovičová & Radosław Pyrek, 2022. "Energy Efficiency Policies in Poland and Slovakia in the Context of Individual Well-Being," Energies, MDPI, vol. 16(1), pages 1-29, December.
    14. Alvarez-Herranz, Agustin & Balsalobre-Lorente, Daniel & Shahbaz, Muhammad & Cantos, José María, 2017. "Energy innovation and renewable energy consumption in the correction of air pollution levels," Energy Policy, Elsevier, vol. 105(C), pages 386-397.
    15. Pao, Hsiao-Tien & Fu, Hsin-Chia, 2013. "The causal relationship between energy resources and economic growth in Brazil," Energy Policy, Elsevier, vol. 61(C), pages 793-801.
    16. Marques, António Cardoso & Fuinhas, José Alberto & Neves, Sónia Almeida, 2018. "Ordinary and Special Regimes of electricity generation in Spain: How they interact with economic activity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1226-1240.
    17. Wang, Chengchao & Yang, Yusheng & Zhang, Yaoqi, 2012. "Rural household livelihood change, fuelwood substitution, and hilly ecosystem restoration: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2475-2482.
    18. Deng, Cheng-gang & Chen, Fei, 2021. "Model verification and photo-thermal conversion assessment of a novel facade embedded compound parabolic concentrator," Energy, Elsevier, vol. 220(C).
    19. Meng, Xiangmei & de Jong, Wiebren & Kudra, Tadeusz, 2016. "A state-of-the-art review of pulse combustion: Principles, modeling, applications and R&D issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 73-114.
    20. Toledo, Olga Moraes & Oliveira Filho, Delly & Diniz, Antônia Sônia Alves Cardoso, 2010. "Distributed photovoltaic generation and energy storage systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 506-511, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:273:y:2023:i:c:s0360544223006230. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.