CNN-KA: A Hybrid P-phase Picking Method for Microseismic Source Location in Deep Mine with Complex Geological Conditions

Microseismic (MS) technology is one of the effective methods for engineering fracture monitoring, and has been widely used in coal mining. Accurate P-phase arrivals are critical for improving accuracy of source locations and MS parameters. In this study, a multi-step method (CNN-KA) combining convol...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2025-01, p.1-1
Hauptverfasser:	Zhang, Yongshu, Li, Lianchong, Mu, Wenqiang, Wei, Tingshuang, Wang, Xin, Yu, Guofeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Coal Coal mine Coal mining Convolutional neural networks Deep learning Excavation Face recognition Geology Microseismic monitoring Mining-induced data Monitoring P-phase arrival Rocks Sensors
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