Stability Evaluation on Surrounding Rocks of Underground Powerhouse Based on Microseismic Monitoring
Shock and Vibration, 2015 To study the stability of underground powerhouse at Houziyan hydropower station during excavation, a microseismic monitoring system is adopted. Based on the space-time distribution characteristics of microseismic events during excavation of the main ...
Feng Dai +4 more
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MA_W-Net-Based Dual-Output Method for Microseismic Localization in Strong Noise Environments
Applied SciencesWith the continuous depletion of conventional oil and gas reservoir resources, the beginning of exploration and development of unconventional oil and gas reservoir resources has led to the rapid development of microseismic monitoring technology ...
Qiang Li, Fengjiao Zhang, Liguo Han
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A Method for Predicting the Timing of Mine Earthquakes Based on Deformation Localization States
MathematicsAs a prevalent geological hazard in underground engineering, the accurate prediction of mine earthquakes is crucial for ensuring operational safety and enhancing mining efficiency.
Chenli Zhu +3 more
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Geomatics, Natural Hazards & RiskUsing continuous waveform data from 27 fixed seismic stations in Ningxia spanning nearly a decade from 2013 to September 2022, the automatic detection matching method (PALM) was employed to capture 34,373 seismic events across the region, which is twelve
MengYa Li +4 more
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Application of Microseismic Monitoring Technology in Forecasting of Roof Weighting [PDF]
, 2010 The paper introduced application of microseismic monitoring system in forecasting roof weighting of Qianqiu Coal Mine. The practical result showed that the microseismic monitoring system can forecast and judge the first weighting of main roof of fully ...
WEI Xiang-zhi +3 more
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Rock Damage Characterisation from Microseismic Monitoring [PDF]
Outlines the concepts used to correlate rock failure with microseismic events and presents examples of microseismic monitoring together with associated computer modeling of the rock failure from several mine ...
core
Multi-channel microseismic signals classification with convolutional neural networks [PDF]
Identifying and classifying microseismic signals is essential to warn of mines’ dangers. Deep learning has replaced traditional methods, but labor-intensive manual identification and varying deep learning outcomes pose challenges.
Tang, Zheng +4 more
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LSTM multivariate model based microseismic time-series prediction and rockburst early warning
Frontiers in Earth ScienceAiming at the prominent rockburst risk in deep mining of Kongzhuang coal mine with high in-situ stress and thick hard roof, this study takes microseismic monitoring time-series data as the research object, and constructs a set of rockburst prediction and
Zenglun Guan +8 more
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Microseismic data of the HDR injection test [PDF]
<p>Microseismic data associated with the submitted paper on HDR injection test</p ...
Xie, Jingyu, Zhao, Zhengguang, Li, Lei
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An Effective Physics‐Informed Neural Operator Framework for Predicting Wavefields
Journal of Geophysical Research: Machine Learning and ComputationSolving the wave equation is fundamental for many geophysical applications. However, numerical solutions of the Helmholtz equation face significant computational and memory challenges.
X. Ma, T. Alkhalifah
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