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1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1002/essoar.10510257.1
Abstract: Identifying useful microseismic events is one of the key steps in monitoring tunnel rockbursts. Here, we propose a strong noise-tolerance deep learning (SNTDL) network for the automatic classification of noisy microseismic events. The training set,…
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Keywords:
noise tolerance;
network;
sntdl network;
microseismic events ... See more keywords
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Published in 2020 at "Journal of Central South University"
DOI: 10.1007/s11771-020-4530-8
Abstract: Microseismic monitoring system is one of the effective methods for deep mining geo-stress monitoring. The principle of microseismic monitoring system is to analyze the mechanical parameters contained in microseismic events for providing accurate information of…
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Keywords:
test set;
microseismic events;
convolutional neural;
microseismic monitoring ... See more keywords
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Published in 2020 at "International Journal of Geomechanics"
DOI: 10.1061/(asce)gm.1943-5622.0001631
Abstract: AbstractBased on a large amount of real-time microseismic monitoring data and hundreds of rockburst cases of different types stemming from the construction of deep tunnels at Jinping Mountain Hydro...
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Keywords:
events different;
different types;
spatial fractal;
microseismic events ... See more keywords
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Published in 2019 at "Geophysical Journal International"
DOI: 10.1093/gji/ggz293
Abstract: Moment-tensor inversion of induced microseismic events can provide valuable information for tracking CO2 plumes at geological carbon storage sites, and study the physical mechanism of induced microseismicity. Accurate moment-tensor inversion requires a wide-azimuthal coverage of…
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Keywords:
microseismic events;
moment tensor;
inversion;
joint inversion ... See more keywords
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Published in 2017 at "Geophysical Prospecting"
DOI: 10.1111/1365-2478.12485
Abstract: We examine the problem of localization of a single microseismic event and determination of its seismic moment tensor in the presence of strongly correlated noise. This is a typical problem occurring in monitoring of microseismic…
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Keywords:
moment tensor;
microseismic events;
determination;
maximum likelihood ... See more keywords
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Published in 2019 at "Journal of Mining Science"
DOI: 10.1134/s1062739119056124
Abstract: The physical-and-mathematical model is presented for generation of microseismic events during hydrofracture propagation. Defects (discontinuities) are described using the ESC-model. The formulas are given for the jumps of discontinuities, characteristics of seismic and aseismic events,…
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Keywords:
model;
microseismic events;
hydrofracture propagation;
events hydrofracture ... See more keywords