IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0294993.html
   My bibliography  Save this article

Prediction criterion and numerical validation for the interaction between hydraulic fractures and bedding planes

Author

Listed:
  • Xiaoxi Men
  • Zhihui Han

Abstract

Shale is a kind of sedimentary rock with an obvious bedding structure. The effect of the bedding plane on hydraulic fracture initiation, propagation, and complex fracture network formation is remarkable and a major problem in hydraulic fracturing and shale oil and gas development. In this study, a criterion is established to predict the evolution behavior of hydraulic fractures (HF) under different confining pressure differences and intersection angles. This criterion is intended to predict the types of interaction between HFs and bedding planes (BPs): penetrating, slipping, or dilating. The dependence of crossing on the intersection angle and the principal stress difference is quantitatively presented using the criterion. Meanwhile, 20 simulations with principal stress differences of 2, 4, 6, and 8 MPa and intersection angles of 30°, 45°, 60°, 75°, and 90° were simulated using the RFPA2D-Flow code. Simulation results exhibit good agreement with the criterion results for a wide range of angles. The investigation showed that HFs tend to penetrate BPs under high confining pressure differences and intersection angles and open BPs under low confining pressure differences and intersection angles. In addition to the above two forms, HFs slip due to shear. The criterion can provide relevant reference about the formation of complex fracture networks in shale layers.

Suggested Citation

  • Xiaoxi Men & Zhihui Han, 2023. "Prediction criterion and numerical validation for the interaction between hydraulic fractures and bedding planes," PLOS ONE, Public Library of Science, vol. 18(12), pages 1-16, December.
  • Handle: RePEc:plo:pone00:0294993
    DOI: 10.1371/journal.pone.0294993
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0294993
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294993&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0294993?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
    ---><---

    References listed on IDEAS

    as
    1. Linqi Huang & Shaofeng Wang & Xin Cai & Zhengyang Song, 2022. "Mathematical Problems in Rock Mechanics and Rock Engineering," Mathematics, MDPI, vol. 11(1), pages 1-3, December.
    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. Joao Felipe Gueiros & Hemanth Chandravamsi & Steven H. Frankel, 2025. "Deep Learning vs. Black-Scholes: Option Pricing Performance on Brazilian Petrobras Stocks," Papers 2504.20088, arXiv.org.
    2. Fuming Deng & Lu Cai & Xiaolei Ma, 2024. "Does digital transformation restrict the carbon emission intensity of enterprises? Evidence from listed manufacturing enterprises in China," Natural Resources Forum, Blackwell Publishing, vol. 48(2), pages 364-384, May.
    3. Hongyang Li & Shuying Fang & Long Chen & Vanessa Menadue & Skitmore Martin, 2024. "Extended reality (XR)—A magic box of digitalization in driving sustainable development of the construction industry: A critical review," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(3), pages 2830-2845, June.
    4. Xu Tian & ZongYi Tian & Saleh F A Khatib & Yan Wang, 2024. "Machine learning in internet financial risk management: A systematic literature review," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-23, April.
    5. Haiyue Liu & Cangyu Wang & Qin Zhang & Changyi Zhao & Jie Jiang, 2023. "The greening effects of regional innovation symbiosis – Evidence from Chinese listed firms," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(1), pages 141-160, March.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0294993. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.