IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v282y2023ics0360544223023629.html
   My bibliography  Save this article

Exploration on the characteristics of 3D crack network expansion induced by hydraulic fracturing: A hybrid approach combining experiments and algorithms

Author

Listed:
  • Jia, Li
  • Peng, Shoujian
  • Wu, Bin
  • Xu, Jiang
  • Yan, Fazhi
  • Chen, Yuexia

Abstract

To efficiently develop and utilize unconventional energy, it is essential to investigate the characteristics of 3D crack network expansion during sandstone hydraulic fracturing (HF). This paper presents the results of physical simulation experiments of sandstone HF under varying shear stress levels, where CT image data acquisition was used to enable 3D reconstruction and establishment of identification algorithms for 3D crack network. The graph theory representation method of crack network was improved using the intersection and extension of crack branch elements as precursors for two vertex sets U and V of a bipartite graph G=(U,V,E), extending the topological structure representation method to 3D crack network. Using topology and fractal theory, a quantitative characterization method of crack network was developed, which comprehensively considered topological structure parameters and fractal dimension. The findings showed that the fractal dimension of the crack increases linearly with the increase of the shear stress level, and the parameters of the crack topological structure increased first and then decreased. While the parameters of the crack topological structure first increased and then decreased.

Suggested Citation

  • Jia, Li & Peng, Shoujian & Wu, Bin & Xu, Jiang & Yan, Fazhi & Chen, Yuexia, 2023. "Exploration on the characteristics of 3D crack network expansion induced by hydraulic fracturing: A hybrid approach combining experiments and algorithms," Energy, Elsevier, vol. 282(C).
    • Handle: RePEc:eee:energy:v:282:y:2023:i:c:s0360544223023629
    DOI: 10.1016/j.energy.2023.128968
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223023629
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.128968?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. Qiang He & Bo He & Fengxia Li & Aiping Shi & Jiang Chen & Lingzhi Xie & Wenxiang Ning, 2021. "Fractal Characterization of Complex Hydraulic Fractures in Oil Shale via Topology," Energies, MDPI, vol. 14(4), pages 1-17, February.
    2. Geng, Jiabo & Zeng, Gaoxiong & Liu, Cunyang & Li, Xiaoshuang & Zhang, Dongming, 2023. "Development and application of triaxial seepage test system for gas-water two-phase in coal rock," Energy, Elsevier, vol. 277(C).
    3. Panigrahy, Chinmaya & Seal, Ayan & Mahato, Nihar Kumar & Bhattacharjee, Debotosh, 2019. "Differential box counting methods for estimating fractal dimension of gray-scale images: A survey," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 178-202.
    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. Yan, Fazhi & Zeng, Tao & Yang, Mengmeng & Peng, Shoujian & Gao, Changjiong & Yang, Yongdan, 2024. "Study on pore-crack evolution and connectivity of coal subjected to controlled electrical pulse based on CT scanning technology," Energy, Elsevier, vol. 296(C).
    2. Dai, Shijie & Xu, Jiang & Jia, Li & Chen, Jieren & Yan, Fazhi & Chen, Yuexia & Peng, Shoujian, 2023. "On the 3D fluid behavior during CBM coproduction in a multi pressure system: Insights from experimental analysis and mathematical models," Energy, Elsevier, vol. 283(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. Martsepp, Merike & Laas, Tõnu & Laas, Katrin & Priimets, Jaanis & Tõkke, Siim & Mikli, Valdek, 2022. "Dependence of multifractal analysis parameters on the darkness of a processed image," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    2. Huzak, Renato & Vlah, Domagoj & Žubrinić, Darko & Županović, Vesna, 2023. "Fractal analysis of degenerate spiral trajectories of a class of ordinary differential equations," Applied Mathematics and Computation, Elsevier, vol. 438(C).
    3. Zuo, Xue & Tang, Xiang & Zhou, Yuankai, 2020. "Influence of sampling length on estimated fractal dimension of surface profile," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
    4. Shengchun Xiong & Siyu Liu & Dingwei Weng & Rui Shen & Jiayi Yu & Xuemei Yan & Ying He & Shasha Chu, 2022. "A Fractional Step Method to Solve Productivity Model of Horizontal Wells Based on Heterogeneous Structure of Fracture Network," Energies, MDPI, vol. 15(11), pages 1-26, May.
    5. Bruno Rafael de Almeida Moreira & Ronaldo da Silva Viana & Victor Hugo Cruz & Paulo Renato Matos Lopes & Celso Tadao Miasaki & Anderson Chagas Magalhães & Paulo Alexandre Monteiro de Figueiredo & Luca, 2020. "Anti-Thermal Shock Binding of Liquid-State Food Waste to Non-Wood Pellets," Energies, MDPI, vol. 13(12), pages 1-26, June.
    6. Jiang, Kai & Liu, Zhifeng & Tian, Yang & Zhang, Tao & Yang, Congbin, 2022. "An estimation method of fractal parameters on rough surfaces based on the exact spectral moment using artificial neural network," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
    7. Li, Jiangtao & Zhou, Xiaofeng & Liu, Xibao & Gayubov, Abdumalik & Shamil, Sultanov, 2023. "Cross-scale diffusion characteristics in microscale fractures of tight and shale gas reservoirs considering real gas – mixture – body diffusion – water film coupling," Energy, Elsevier, vol. 283(C).

    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:282:y:2023:i:c:s0360544223023629. 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.