Evaluation of bedding effect on the bursting liability of coal and coal-rock combination under different bedding dip angles

C Wang, Y Liu, D Song, J Xu, Q Wang… - Advances in Geo …, 2024 - yandy-ager.com
Rock bursts pose a significant risk to coal mine operation safety. Thus, accurately
discriminating coal bursting liabilities is crucial for predicting and preventing rock burst …

Fault slip and seismic source response characteristics under induced stress wave

Z Ding, X Feng, E Wang - Engineering Failure Analysis, 2024 - Elsevier
As coal mining depth and structural complexity increase, the failure severity of mining-
induced fault activation leading to rock bursts escalates. Fault fracture zones, consisting of …

Advances in mining safety theory, technology, and equipment

S He, X He, H Mitri, S Meng, Q Wu… - Advances in Geo …, 2023 - yandy-ager.com
Mineral resources are an important pillar of human social development. With the gradual
depletion of shallow resources, deep mining is an inevitable choice for ensuring energy …

Classification of coal bursting liability of some chinese coals using machine learning methods

C Wang, Y Liu, Y Li, X Liu, Q Wang - Scientific Reports, 2024 - nature.com
The classification of coal bursting liability (CBL) is essential for the mitigation and
management of coal bursts in mining operations. This study establishes an index system for …

Asymmetric Dynamic Support for Roadways in Subvertical Coal Seams

S He, F Shen, T Chen, D Song, X He… - International Journal …, 2024 - ascelibrary.org
Due to the unique conditions of the Wudong subvertical coal seam, damage to the
underground roadway occurs frequently during the coal mining process. With the increase in …

A coal bursting liability evaluation model based on fuzzy set theory and analysis of three influencing factors

C Wang, Z Jin, X Liu, T Wang, Y Liu, S Zhang… - Frontiers in Earth …, 2024 - frontiersin.org
The classification of coal bursting liability is of great significance for the prevention and
control of rock burst. To address the shortcomings in existing bursting liability classification …

A novel seismic inversion method based on multiple attributes and machine learning for hydrocarbon reservoir prediction in Bohai Bay Basin, Eastern China

Z Liu, J Zhu, B Tian, R Zhang, Y Fu, Y Liu… - Frontiers in Earth …, 2024 - frontiersin.org
As the demands for hydrocarbon exploration continue to rise, the identification of thin sand
bodies becomes significantly important for subsequent petroleum exploration and …