IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i15p5314-d868667.html
   My bibliography  Save this article

Numerical Simulation on Erosion Wear Law of Pressure-Controlled Injection Tool in Solid Fluidization Exploitation of the Deep-Water Natural Gas Hydrate

Author

Listed:
  • Yang Tang

    (School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China
    Guangdong Provincial Laboratory of Southern Marine Science and Engineering (Zhanjiang), Zhanjiang 524000, China
    Energy Equipment Institute, Southwest Petroleum University, Chengdu 610500, China)

  • Peng Zhao

    (School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China
    Energy Equipment Institute, Southwest Petroleum University, Chengdu 610500, China)

  • Xiaoyu Fang

    (Guangdong Provincial Laboratory of Southern Marine Science and Engineering (Zhanjiang), Zhanjiang 524000, China)

  • Guorong Wang

    (School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China
    Guangdong Provincial Laboratory of Southern Marine Science and Engineering (Zhanjiang), Zhanjiang 524000, China
    Energy Equipment Institute, Southwest Petroleum University, Chengdu 610500, China)

  • Lin Zhong

    (School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China
    Guangdong Provincial Laboratory of Southern Marine Science and Engineering (Zhanjiang), Zhanjiang 524000, China
    Energy Equipment Institute, Southwest Petroleum University, Chengdu 610500, China)

  • Xushen Li

    (Guangdong Provincial Laboratory of Southern Marine Science and Engineering (Zhanjiang), Zhanjiang 524000, China)

Abstract

The pressure-controlled injection tool (PCIT) is the key equipment in the process of high-pressure water jet fragmentation in the solid fluidization exploitation of deep-sea natural gas hydrate (NGH). The internal flow field erosion wear numerical simulation model of PCIT is established through computational fluid dynamics software to study the influence law and main factors of the drilling fluid erosion wear of PCIT. The influence laws of different drilling fluid physical parameters and different structural parameters on PCIT erosion wear were analyzed based on the Euler–Lagrangian algorithm bidirectional coupled discrete phase model (DPM) and the solid–liquid two-phase flow model. The results show that the easily eroded areas are the cone of the sliding core, the plug transition section, the plug surface, and the axial flow passage. The sliding core inlet angle and solid particle size are the main factors affecting the PCIT erosion rate. When the inlet angle of the sliding core is 30°, the diameter of solid-phase particles in drilling fluid is less than 0.3 mm, and the erosion degree of the PCIT could be effectively reduced. The research results can provide guidance for the design and application of the PCIT and advance the early realization of the commercial exploitation of hydrate.

Suggested Citation

  • Yang Tang & Peng Zhao & Xiaoyu Fang & Guorong Wang & Lin Zhong & Xushen Li, 2022. "Numerical Simulation on Erosion Wear Law of Pressure-Controlled Injection Tool in Solid Fluidization Exploitation of the Deep-Water Natural Gas Hydrate," Energies, MDPI, vol. 15(15), pages 1-17, July.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5314-:d:868667
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/15/5314/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/15/5314/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xu, Chun-Gang & Cai, Jing & Yu, Yi-Song & Yan, Ke-Feng & Li, Xiao-Sen, 2018. "Effect of pressure on methane recovery from natural gas hydrates by methane-carbon dioxide replacement," Applied Energy, Elsevier, vol. 217(C), pages 527-536.
    2. Leizhen Wang & Guorong Wang, 2020. "Experimental and Theoretical Study on the Critical Breaking Velocity of Marine Natural Gas Hydrate Sediments Breaking by Water Jet," Energies, MDPI, vol. 13(7), pages 1-11, April.
    3. Chintala, Venkateswarlu & Subramanian, K.A., 2013. "A CFD (computational fluid dynamics) study for optimization of gas injector orientation for performance improvement of a dual-fuel diesel engine," Energy, Elsevier, vol. 57(C), pages 709-721.
    4. Ji, MyoungKuk & Utomo, Tony & Woo, JuSik & Lee, YongHun & Jeong, HyoMin & Chung, HanShik, 2010. "CFD investigation on the flow structure inside thermo vapor compressor," Energy, Elsevier, vol. 35(6), pages 2694-2702.
    5. Feng, Yongchang & Chen, Lin & Suzuki, Anna & Kogawa, Takuma & Okajima, Junnosuke & Komiya, Atsuki & Maruyama, Shigenao, 2019. "Numerical analysis of gas production from layered methane hydrate reservoirs by depressurization," Energy, Elsevier, vol. 166(C), pages 1106-1119.
    6. Gambelli, Alberto Maria & Rossi, Federico, 2019. "Natural gas hydrates: Comparison between two different applications of thermal stimulation for performing CO2 replacement," Energy, Elsevier, vol. 172(C), pages 423-434.
    7. Wang, Yi & Feng, Jing-Chun & Li, Xiao-Sen & Zhang, Yu, 2017. "Experimental investigation of optimization of well spacing for gas recovery from methane hydrate reservoir in sandy sediment by heat stimulation," Applied Energy, Elsevier, vol. 207(C), pages 562-572.
    8. E. Dendy Sloan, 2003. "Fundamental principles and applications of natural gas hydrates," Nature, Nature, vol. 426(6964), pages 353-359, November.
    Full references (including those not matched with items on IDEAS)

    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. Yan Li & Alberto Maria Gambelli & Federico Rossi, 2022. "Experimental Study on the Effect of SDS and Micron Copper Particles Mixture on Carbon Dioxide Hydrates Formation," Energies, MDPI, vol. 15(18), pages 1-16, September.
    2. Wang, Xiaolin & Zhang, Fengyuan & Lipiński, Wojciech, 2020. "Research progress and challenges in hydrate-based carbon dioxide capture applications," Applied Energy, Elsevier, vol. 269(C).
    3. Cheng, Fanbao & Sun, Xiang & Li, Yanghui & Ju, Xin & Yang, Yaobin & Liu, Xuanji & Liu, Weiguo & Yang, Mingjun & Song, Yongchen, 2023. "Numerical analysis of coupled thermal-hydro-chemo-mechanical (THCM) behavior to joint production of marine gas hydrate and shallow gas," Energy, Elsevier, vol. 281(C).
    4. Xue, Kunpeng & Liu, Yu & Yu, Tao & Yang, Lei & Zhao, Jiafei & Song, Yongchen, 2023. "Numerical simulation of gas hydrate production in shenhu area using depressurization: The effect of reservoir permeability heterogeneity," Energy, Elsevier, vol. 271(C).
    5. Yu, Tao & Guan, Guoqing & Abudula, Abuliti & Wang, Dayong & Song, Yongchen, 2021. "Numerical evaluation of free gas accumulation behavior in a reservoir during methane hydrate production using a multiple-well system," Energy, Elsevier, vol. 218(C).
    6. Jung-Tae Kim & Ah-Ram Kim & Gye-Chun Cho & Chul-Whan Kang & Joo Yong Lee, 2019. "The Effects of Coupling Stiffness and Slippage of Interface Between the Wellbore and Unconsolidated Sediment on the Stability Analysis of the Wellbore Under Gas Hydrate Production," Energies, MDPI, vol. 12(21), pages 1-23, November.
    7. Gu, Yuhang & Sun, Jiaxin & Qin, Fanfan & Ning, Fulong & Cao, Xinxin & Liu, Tianle & Qin, Shunbo & Zhang, Ling & Jiang, Guosheng, 2023. "Enhancing gas recovery from natural gas hydrate reservoirs in the eastern Nankai Trough: Deep depressurization and underburden sealing," Energy, Elsevier, vol. 262(PB).
    8. Feng, Jing-Chun & Wang, Yi & Li, Xiao-Sen, 2018. "Dissociation characteristics of water-saturated methane hydrate induced by huff and puff method," Applied Energy, Elsevier, vol. 211(C), pages 1171-1178.
    9. Yu, Tao & Guan, Guoqing & Abudula, Abuliti, 2019. "Production performance and numerical investigation of the 2017 offshore methane hydrate production test in the Nankai Trough of Japan," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    10. Dong, Lin & Li, Yanlong & Wu, Nengyou & Wan, Yizhao & Liao, Hualin & Wang, Huajian & Zhang, Yajuan & Ji, Yunkai & Hu, Gaowei & Leonenko, Yuri, 2023. "Numerical simulation of gas extraction performance from hydrate reservoirs using double-well systems," Energy, Elsevier, vol. 265(C).
    11. Mao, Peixiao & Wan, Yizhao & Sun, Jiaxin & Li, Yanlong & Hu, Gaowei & Ning, Fulong & Wu, Nengyou, 2021. "Numerical study of gas production from fine-grained hydrate reservoirs using a multilateral horizontal well system," Applied Energy, Elsevier, vol. 301(C).
    12. Alberto Maria Gambelli & Federico Rossi, 2023. "Review on the Usage of Small-Chain Hydrocarbons (C 2 —C 4 ) as Aid Gases for Improving the Efficiency of Hydrate-Based Technologies," Energies, MDPI, vol. 16(8), pages 1-22, April.
    13. Zhu, Hongjun & Lin, Pengzhi & Pan, Qian, 2014. "A CFD (computational fluid dynamic) simulation for oil leakage from damaged submarine pipeline," Energy, Elsevier, vol. 64(C), pages 887-899.
    14. Sun, Xiang & Li, Yanghui & Liu, Yu & Song, Yongchen, 2019. "The effects of compressibility of natural gas hydrate-bearing sediments on gas production using depressurization," Energy, Elsevier, vol. 185(C), pages 837-846.
    15. Jung-Tae Kim & Chul-Whan Kang & Ah-Ram Kim & Joo Yong Lee & Gye-Chun Cho, 2021. "Effect of Permeability on Hydrate-Bearing Sediment Productivity and Stability in Ulleung Basin, East Sea, South Korea," Energies, MDPI, vol. 14(6), pages 1-16, March.
    16. Yu, Tao & Guan, Guoqing & Wang, Dayong & Song, Yongchen & Abudula, Abuliti, 2021. "Numerical investigation on the long-term gas production behavior at the 2017 Shenhu methane hydrate production site," Applied Energy, Elsevier, vol. 285(C).
    17. Ning, Fulong & Chen, Qiang & Sun, Jiaxin & Wu, Xiang & Cui, Guodong & Mao, Peixiao & Li, Yanlong & Liu, Tianle & Jiang, Guosheng & Wu, Nengyou, 2022. "Enhanced gas production of silty clay hydrate reservoirs using multilateral wells and reservoir reformation techniques: Numerical simulations," Energy, Elsevier, vol. 254(PA).
    18. Zhao, Ermeng & Hou, Jian & Ji, Yunkai & Liu, Yongge & Bai, Yajie, 2021. "Enhancing gas production from Class II hydrate deposits through depressurization combined with low-frequency electric heating under dual horizontal wells," Energy, Elsevier, vol. 233(C).
    19. Nair, Vishnu Chandrasekharan & Prasad, Siddhant Kumar & Kumar, Rajnish & Sangwai, Jitendra S., 2018. "Energy recovery from simulated clayey gas hydrate reservoir using depressurization by constant rate gas release, thermal stimulation and their combinations," Applied Energy, Elsevier, vol. 225(C), pages 755-768.
    20. Yuan, Yilong & Gong, Ye & Xu, Tianfu & Zhu, Huixing, 2023. "Multiphase flow and geomechanical responses of interbedded hydrate reservoirs during depressurization gas production for deepwater environment," Energy, Elsevier, vol. 262(PB).

    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:gam:jeners:v:15:y:2022:i:15:p:5314-:d:868667. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.