2023
DOI: 10.3390/en16217270
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Combined Effect of In Situ Stress Level and Bedding Anisotropy on Hydraulic Fracture Vertical Growth in Deep Marine Shale Revealed via CT Scans and Acoustic Emission

Peng Guo,
Xiao Li,
Shouding Li
et al.

Abstract: The economic exploitation of unconventional gas and oil in deep shale relies closely on effective hydraulic fracturing stimulations. However, the fracturing operations of deep shale reservoirs face challenges of insufficient fracture growth and a rapid decline in productivity due to the increasing in situ stress level. In addition, the shale strata on the margin of the Sichuan Basin are frequently folded and faulted, and the change in bedding inclinations significantly complicates the process of hydraulic frac… Show more

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Cited by 3 publications
(2 citation statements)
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References 39 publications
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“…AE is high-frequency elastic sudden signals created by material loading and emitted from that. The AE signal during the hydraulic fracturing process of sample is monitored by using AE equipment; the AE activities are revealed during the initiation and propagation of generated fractures (Guo et al, 2023;L. Li et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…AE is high-frequency elastic sudden signals created by material loading and emitted from that. The AE signal during the hydraulic fracturing process of sample is monitored by using AE equipment; the AE activities are revealed during the initiation and propagation of generated fractures (Guo et al, 2023;L. Li et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…The hydraulic fracturing characteristics of shale with different bedding angles under high hydrostatic pressure have been studied (Zhao et al, 2022). Guo et al analyzed the influence of natural stress levels and the angle of the shale's bedding on the process of hydraulic fracturing in shale by using acoustic emission detection and CT scans and the resulting fracture geometry also investigated (Guo et al, 2023). In addition to the researches mentioned above, other scholars have performed the hydraulic fracturing experiment using AE monitoring technology including the following: Chitrala et al (2013) (Chitrala et al, 2013), Chen et al (2014) (Chen et al, 2015), Guo et al (2014) (Guo et al, 2014), , Stoeckhert et al (2015) (Stoeckhert et al, 2015, Ning et al ( 2018) (Ning et al, 2018), Liang et al (2017) (Liang et al, 2017), Hampton et al (2018) (Hampton et al, 2018), Li et al (2018) (Li et al, 2018), Naoi et al (2018) (Naoi et al, 2018), Zhuang et al ( 2019) (Zhuang et al, 2019), Xing et al (2019) (Xing et al, 2019), Ha et al (2020) (Ha & Yun, 2020), Zhai et al (2020) (Zhai et al, 2020), and Tan et al (2021) (Tan et al, 2021).…”
Section: Introductionmentioning
confidence: 99%