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Numerical Investigation on Propagation Behaviors of a Three-Dimensional Fracture Network Coupled with Microseismicity in Fractured Shale Reservoirs

Author

Listed:
  • Jianfa Wu

    (Shale Gas Research Institute, PetroChina Southwest Oil & Gas Field Company, Chengdu 610051, China)

  • Haoyong Huang

    (Shale Gas Research Institute, PetroChina Southwest Oil & Gas Field Company, Chengdu 610051, China)

  • Ersi Xu

    (Shale Gas Research Institute, PetroChina Southwest Oil & Gas Field Company, Chengdu 610051, China)

  • Junfeng Li

    (Shale Gas Research Institute, PetroChina Southwest Oil & Gas Field Company, Chengdu 610051, China)

  • Xiaohua Wang

    (Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China
    Key Laboratory of Geotechnical & Underground Engineering of Ministry of Education, Tongji University, Shanghai 200092, China)

Abstract

The formation mechanism and propagation behaviors of a three-dimensional hydraulic fracture network in fractured shale reservoirs remain unclear, especially when the scale of hydraulic fractures is much larger than that of natural fractures. In this study, taking the well XH in the Longmaxi shale reservoir in the Sichuan Basin, China as an example, we develop a fully three-dimensional numerical model for hydraulic fracturing coupled with microseismicity based on the discrete lattice method. We introduce a randomly generated discrete fracture network into the proposed model and explore the formation mechanism of the hydraulic fracture network under the condition that the hydraulic fractures are much larger than natural fractures in scale. Moreover, microseismic events are inversely synthesized in the numerical model, which allows the evolution of the fracture network to be monitored and evaluated quantitatively. In addition, we analyze the effects of injection rate, horizontal stress difference, and fluid viscosity on fracture propagation. Our results show that when the scale of hydraulic fractures is much larger than that of natural fractures, the fracture morphology of “main hydraulic fractures + complex secondary fractures” is mainly formed. We find that a high injection rate can not only create a complex fracture network, but also improve the uniform propagation of multi-cluster fractures and enhance far-field stimulation efficiency. Optimizing the horizontal wellbore intervals with low horizontal stress differences as the sweet spots of hydraulic fracturing is also beneficial to improve the stimulation efficiency. For zones with a large number of natural fractures, it is recommended to use an injection schedule with high viscosity fluid early and low viscosity fluid late to allow the hydraulic fractures to propagate to the far-field to maximize the stimulation effect.

Suggested Citation

  • Jianfa Wu & Haoyong Huang & Ersi Xu & Junfeng Li & Xiaohua Wang, 2021. "Numerical Investigation on Propagation Behaviors of a Three-Dimensional Fracture Network Coupled with Microseismicity in Fractured Shale Reservoirs," Energies, MDPI, vol. 14(24), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8297-:d:698648
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    Citations

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    Cited by:

    1. Fuchun Tian & Yan Jin & Fengming Jin & Xiaonan Ma & Lin Shi & Jun Zhang & Dezhi Qiu & Zhuo Zhang, 2022. "Multi-Fracture Synchronous Propagation Mechanism of Multi-Clustered Fracturing in Interlayered Tight Sandstone Reservoir," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    2. Wang, Song & Zhou, Jian & Zhang, Luqing & Han, Zhenhua & Kong, Yanlong, 2024. "Numerical insight into hydraulic fracture propagation in hot dry rock with complex natural fracture networks via fluid-solid coupling grain-based modeling," Energy, Elsevier, vol. 295(C).

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