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A Nonparametric Method for Automatic Denoising of Microseismic Data [PDF]
Shock and Vibration, 2018 Noise suppression or signal-to-noise ratio (SNR) enhancement is often desired for better processing results from a microseismic dataset. In this paper, we proposed a nonparametric automatic denoising algorithm for microseismic data.
Pingan Peng, Liguan Wang
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Decision Tree Model for Rockburst Prediction Based on Microseismic Monitoring [PDF]
Advances in Civil Engineering, 2021 Rockburst is an extremely complex dynamic instability phenomenon for rock underground excavation. It is difficult to predict and evaluate the rank level of rockburst in practice.
Hongbo Zhao, Bingrui Chen, Changxing Zhu
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Applied Sciences (Switzerland), 2023 Based on the relationship between rockburst and microseismic event indicators, this study proposes that the risk of rockburst in mine working faces, roadways, and even the entire mine should be studied through the “double high” risk evaluation of ...
Xue-Long Li, Deyou Chen, Chen Deyou
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A dual branch model for predicting microseismic magnitude time series named DTFNet [PDF]
Scientific ReportsMicroseismic monitoring is crucial in realizing intelligent early warning of coal mine rockbursts. Utilizing historical microseismic monitoring data to predict future microseismic events effectively enhances the accuracy of impact disaster prediction and
Hao Luo +5 more
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Research on computational propagation and identification of mine microseismic signals based on deep learning. [PDF]
PLoS ONEIn the mining field, hydraulic fracturing of coal - seam boreholes generates a large number of weak microseismic signals. The accurate identification of these signals is crucial for subsequent positioning and inversion.
Dongmei Liu +7 more
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Sensors, 2021 Due to the complexity of the various waveforms of microseismic data, there are high requirements on the automatic multi-classification of such data; an accurate classification is conducive for further signal processing and stability analysis of ...
Hang Zhang +5 more
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工程科学学报, 2021 With the gradual transition of coal mining to deep mining, the number and intensity of rock burst events in the deep mining process are gradually increasing.
Yan-yu PEI +5 more
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Energies, 2023 Microseismic monitoring has become a well-known technique for predicting the mechanisms of rock failure in deeply buried energy exploration, in which noise has a great influence on microseismic monitoring results.
Shibin Tang +4 more
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Wavelet Transform-Based Fuzzy Clustering Microseismic First-Arrival Picking Method
IEEE Access, 2023 Microseismic arrival time picking serves as the foundation for microseismic source localization and holds significant importance in the field of microseismic monitoring.
Tingting Lin +3 more
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IEEE Access, 2021 Rockburst is a common geological disaster in mines, tunnels, deep underground engineering, and during excavation, mining, and construction. Rockburst frequently occurs as the depth of burial increases, and its early warning technology is in urgent need ...
Guili Peng +3 more
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