IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i24p6246-d1541417.html
   My bibliography  Save this article

Quantitative Characterization Method of Additional Resistance Based on Suspended Particle Migration and Deposition Model

Author

Listed:
  • Huan Chen

    (State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100020, China
    CNOOC Research Institute Co., Ltd., Beijing 100028, China
    These authors contributed equally to this work.)

  • Yanfeng Cao

    (State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100020, China
    CNOOC Research Institute Co., Ltd., Beijing 100028, China
    These authors contributed equally to this work.)

  • Jifei Yu

    (State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100020, China
    CNOOC Research Institute Co., Ltd., Beijing 100028, China
    These authors contributed equally to this work.)

  • Xiaopeng Zhai

    (Hubei Key Laboratory of Oil and Gas Drilling and Production Engineering, Yangtze University, Wuhan 430100, China)

  • Jianlin Peng

    (State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100020, China
    CNOOC Research Institute Co., Ltd., Beijing 100028, China)

  • Wei Cheng

    (Hubei Key Laboratory of Oil and Gas Drilling and Production Engineering, Yangtze University, Wuhan 430100, China)

  • Tongchuan Hao

    (State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100020, China
    CNOOC Research Institute Co., Ltd., Beijing 100028, China)

  • Xiaotong Zhang

    (State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100020, China
    CNOOC Research Institute Co., Ltd., Beijing 100028, China)

  • Weitao Zhu

    (State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100020, China
    CNOOC Research Institute Co., Ltd., Beijing 100028, China)

Abstract

The phenomenon of pore blockage caused by injected suspended particles significantly impacts the efficiency of water injection and production capacity release in offshore oilfields, leading to increased additional resistance during the injection process. To enhance water injection volumes in injection wells, it is essential to quantitatively study the additional resistance caused by suspended particle blockage during water injection. However, there is currently no model for calculating the additional resistance resulting from suspended particle blockage. Therefore, this study establishes a permeability decline model based on the microscopic dispersion kinetic equation of particle transport. The degree of blockage is characterized by the reduction in fluid volume, and the additional resistance caused by particle migration and blockage during water injection is quantified based on the fluid volume decline. This study reveals that over time, suspended particles do not continuously migrate deeper into the formation but tend to deposit near the wellbore, blocking pores and increasing additional resistance. Over time, the concentration of suspended particles near the wellbore approaches the initial concentration of the injected water. An increase in seepage velocity raises the peak concentration of suspended particles, but when the seepage velocity reaches a certain threshold, its effect on particle migration stabilizes. The blockage location of suspended particles near the wellbore is significantly influenced by seepage velocity and time. An increase in particle concentration and size accelerates blockage formation but does not change the blockage location. As injection time increases, the fitted injection volume and permeability exhibit a power-law decline. Based on the trend of injection volume reduction, the additional resistance caused by water injection is calculated to range between 0 and 3.85 MPa. Engineering cases indicate that blockages are challenging to remove after acidification, and the reduction in additional resistance is limited. This study provides a quantitative basis for understanding blockage patterns during water injection, helps predict changes in additional resistance, and offers a theoretical foundation for targeted treatment measures.

Suggested Citation

  • Huan Chen & Yanfeng Cao & Jifei Yu & Xiaopeng Zhai & Jianlin Peng & Wei Cheng & Tongchuan Hao & Xiaotong Zhang & Weitao Zhu, 2024. "Quantitative Characterization Method of Additional Resistance Based on Suspended Particle Migration and Deposition Model," Energies, MDPI, vol. 17(24), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:24:p:6246-:d:1541417
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/24/6246/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/24/6246/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sa, Jeong-Hoon & Sum, Amadeu K., 2019. "Promoting gas hydrate formation with ice-nucleating additives for hydrate-based applications," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    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. Yang, Lei & Guan, Dawei & Qu, Aoxing & Li, Qingping & Ge, Yang & Liang, Huiyong & Dong, Hongsheng & Leng, Shudong & Liu, Yanzhen & Zhang, Lunxiang & Zhao, Jiafei & Song, Yongchen, 2023. "Thermotactic habit of gas hydrate growth enables a fast transformation of melting ice," Applied Energy, Elsevier, vol. 331(C).
    2. Liu, Fa-Ping & Li, Ai-Rong & Qing, Sheng-Lan & Luo, Ze-Dong & Ma, Yu-Ling, 2022. "Formation kinetics, mechanism of CO2 hydrate and its applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    3. Dong, Hongsheng & Wang, Jiaqi & Xie, Zhuoxue & Wang, Bin & Zhang, Lunxiang & Shi, Quan, 2021. "Potential applications based on the formation and dissociation of gas hydrates," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    4. Chen, Chen & Yuan, Haoyu & Bi, Rongshan & Wang, Na & Li, Yujiao & He, Yan & Wang, Fei, 2022. "A novel conceptual design of LNG-sourced natural gas peak-shaving with gas hydrates as the medium," Energy, Elsevier, vol. 253(C).
    5. Kou, Xuan & Feng, Jing-Chun & Li, Xiao-Sen & Wang, Yi & Chen, Zhao-Yang, 2022. "Memory effect of gas hydrate: Influencing factors of hydrate reformation and dissociation behaviorsā˜†," Applied Energy, Elsevier, vol. 306(PA).

    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:17:y:2024:i:24:p:6246-:d:1541417. 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.