Results 31 to 40 of about 1,293 (185)

Microseismic Monitoring - Methods and Interpretation [PDF]

ASEG Extended Abstracts, 2013
SUMMARY Microseismic monitoring is attracting great interest due to the application of passive seismic to shale play completion activities and the successful expansion of the method from downhole to surface and near-surface acquisition geometries. Fundamental to this application is the science behind the interpretations: The inherent capabilities and ...
openaire   +1 more source

Exploring wave propagation behaviors in rock: A grain‐based perspective on mineral structures

Deep Underground Science and Engineering, EarlyView.
This study investigates wave propagation in rock at the grain scale using a grain‐based model, revealing that mineral elastic modulus significantly influences wave attenuation while grain size and distribution have limited effects. A novel peak particle velocity attenuation prediction model is proposed and validated for grain‐scale wave propagation ...
Zhiyi Liao, Jiachen Xu, Kai Zhang, Changtai Zhou   +3 more
wiley   +1 more source

An optimizing microseismic method for rock burst early warning based on mining production process

Deep Underground Science and Engineering, EarlyView.
A classification early warning method of rock burst based on hourly microseismic data is proposed, which can be combined with the on‐site production process to provide more timely warning. Abstract Microseismic (MS) events have been reported in nearly every coal mining country, which could well lead to rock burst in underground coal mines.
Zepeng Han, Linming Dou, Wu Cai, Mingbo Chi, Guojun Xi, Shuai Chen, Biao Jiao   +6 more
wiley   +1 more source

A method for predicting the time series of microseismic events in coal mines based on modal decomposition and deep learning

Meitan xuebao
Microseismic monitoring data plays a crucial role in predicting and warning dynamic hazards such as coal mine rockburst. Utilizing historical microseismic monitoring data to forecast the evolution characteristics of future microseismic events is an ...
Changkun QIN, Wusheng ZHAO, Haibin JIA, Weiji GAO, Yuchuan CHEN, Wanquan YU, Jizhong LIANG, Weizhong CHEN   +7 more
doaj   +1 more source

Fracture evolution of a thick soft protection layer and the water inrush mechanism in overburden under longwall mining

Deep Underground Science and Engineering, EarlyView.
Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu, Wei Qiao, Xianggang Cheng, Xiangsheng Meng, Peichao Feng   +4 more
wiley   +1 more source

Mine microseismic and electrical coupling monitoring technology

Meitan xuebao
With the increase of the depth, mining intensity and area of coal resource, the mining disturbances in the mining face can easily induce mine water inrush accidents, seriously threatening the safe mining of coal resources in China.
Shengdong LIU, Cai YANG, Jun ZHANG, Chunyang LI, Chuan REN   +4 more
doaj   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Microseismic Electronic Fencing for Monitoring of Transboundary Mining in Mines

Applied Sciences
Mine transboundary mining has been occurring frequently in recent years, and this illegal behavior has brought great potential danger to mine safety while also causing greater losses of state-owned assets.
Jianbiao Yang, Guangyin Lu, Lei Li, Dazhou Zhang   +3 more
doaj   +1 more source

Research on the Laws of Destructive Patterns and Control Measures of Overlying Rock in High‐Efficiency Large‐Scale Mining Faces

Energy Science &Engineering, EarlyView.
With the advancement of coal mining technology driving the development of working faces toward increased mining heights and extended lengths, the enlargement of face dimensions has led to expanded overlying strata failure zones and intensified ground pressure manifestations. Consequently, traditional methods for determining hydraulic support resistance
Chen Gong, Peilin Gong, Kang Yi, Kaijie Duan, Lizhu Liu, Peng Li   +5 more
wiley   +1 more source