Prediction of time-energy-location of microseismic events induced by deep coal-energy mining: Deep learning approach

Prediction of time-energy-location of microseismic events induced by deep coal-energy mining: Deep learning approach

Deep coal-energy mining frequently results in microseismic (MS) events, which may be a precursor to the risk of rockbursts and pose risks to human safety and infrastructure. Therefore, quantitatively predicting the time, energy, and location (TEL) of future MS events is crucial for understanding and...

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Bibliographic Details
Main Authors: Yue Song, Enyuan Wang, Hengze Yang, Dong Chen, Baolin Li, Yangyang Di
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Journal of Rock Mechanics and Geotechnical Engineering
Subjects:
Rockburst
Microseismic system
Monitoring and early warning
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S1674775524002518
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