TY - JOUR
T1 - Effects of bedding planes on progressive failure of shales under uniaxial compression
T2 - Insights from acoustic emission characteristics
AU - Zhai, Mengyang
AU - Xue, Lei
AU - Bu, Fengchang
AU - Yang, Baicun
AU - Huang, Xiaolin
AU - Liang, Ning
AU - Ding, Hao
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/6
Y1 - 2022/6
N2 - It is believed that the bedding plane is one of controlling factors in progressive failure of shales and its characterization is of great significance in the gas shale engineering. However, it is often difficult to directly capture and visualize the progressive failure process of shales in practice. Although the microseismic method is feasible and economical to overcome this problem, to date, the effect of bedding plane on progressive failure of shales is still not fully clarified by this method. Here, we use the bonded-particle model (BPM) embedded with moment tensor algorithm to explore the progressive failure process and acoustic emission (AE) characteristics of shales under uniaxial compression. The macro mechanical behaviors such as stress-strain response and failure modes of shales were well reproduced by BPM. Meanwhile, AE characteristics were systematically monitored and analyzed during the progressive failure process. Then, the failure type dependent on layer orientation was determined by the moment tensor decomposition. And bedding-orientation-controlled crack stress thresholds as well as the degree of progressive failure could be captured by the AE cumulative number and hits. It was found that b-value in post-peak stage was susceptive to layer orientation and could be used as the indicator of the fracture complexity. Also, proportion of shear AE sources have a good consistence with fracture complexity, which suggests that shear failures favor the complex fracture formation. Our study provided a new insight into effects of bedding planes on progressive failure of shales from the viewpoint of AE characteristics.
AB - It is believed that the bedding plane is one of controlling factors in progressive failure of shales and its characterization is of great significance in the gas shale engineering. However, it is often difficult to directly capture and visualize the progressive failure process of shales in practice. Although the microseismic method is feasible and economical to overcome this problem, to date, the effect of bedding plane on progressive failure of shales is still not fully clarified by this method. Here, we use the bonded-particle model (BPM) embedded with moment tensor algorithm to explore the progressive failure process and acoustic emission (AE) characteristics of shales under uniaxial compression. The macro mechanical behaviors such as stress-strain response and failure modes of shales were well reproduced by BPM. Meanwhile, AE characteristics were systematically monitored and analyzed during the progressive failure process. Then, the failure type dependent on layer orientation was determined by the moment tensor decomposition. And bedding-orientation-controlled crack stress thresholds as well as the degree of progressive failure could be captured by the AE cumulative number and hits. It was found that b-value in post-peak stage was susceptive to layer orientation and could be used as the indicator of the fracture complexity. Also, proportion of shear AE sources have a good consistence with fracture complexity, which suggests that shear failures favor the complex fracture formation. Our study provided a new insight into effects of bedding planes on progressive failure of shales from the viewpoint of AE characteristics.
KW - Acoustic emission characteristics
KW - Anisotropy
KW - Bedding plane
KW - Bonded-particle model
KW - Moment tensor
KW - Shale progressive failure
UR - https://www.scopus.com/pages/publications/85128902921
U2 - 10.1016/j.tafmec.2022.103343
DO - 10.1016/j.tafmec.2022.103343
M3 - 文章
AN - SCOPUS:85128902921
SN - 0167-8442
VL - 119
JO - Theoretical and Applied Fracture Mechanics
JF - Theoretical and Applied Fracture Mechanics
M1 - 103343
ER -