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

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  • 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
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    References listed on IDEAS

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    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.
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    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).

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