Results 21 to 30 of about 1,776,592 (192)
Classification of Microseismic Signals Using Machine Learning
ProcessesThe classification of microseismic signals represents a fundamental preprocessing step in microseismic monitoring and early warning. A microseismic signal source rock classification method based on a convolutional neural network is proposed. First, the characteristic parameters of the microseismic signals are extracted, and a convolutional neural ...
Chen, Ziyang +6 more
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Microseismic Monitoring of an Unstable Rock Face - Preliminary Signal Classification
Proceedings, 2015 We analyse signals collected by a microseismic monitoring network installed on an unstable rock face threatening the city of Lecco, in the North of Italy. We propose a classification process based on parameters computed in both time and frequency domains able to identify events possibly related to microseismic activity within the unstable rock mass and
AROSIO, DIEGO +3 more
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Detection and Location of Microseismic Events with Low Signal-to-Noise Ratios
International Petroleum Technology Conference, 2014 Abstract Microseismic monitoring of hydraulic fractures is the process of monitoring the small earthquakes induced by fluid injection during hydraulic fracture stimulation. The primary goal of microseismic monitoring is to map the source positions of microseismic events.
Yuyang Tan +4 more
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Shock and Vibration, 2021 The research on charge induction and microseismic characteristics of coal and rock under different loading rates is of great significance for rockburst prediction. In this study, the coal and sandstone samples from the No.
Yuchun Liu +4 more
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High-accuracy real-time microseismic analysis platform : case study based on the super-sauze mud-based landslide [PDF]
, 2020 Understanding the evolution of landslide and other subsurface processes via microseismic monitoring and analysis is of paramount importance in predicting or even avoiding an imminent slope failure (via an early warning system).
Stankovic, L. +3 more
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Analysis of rock microseismic signal based on blind source wavelet decomposition algorithm
AIP Advances, 2022 At present, microseismic technology is a widely used method for monitoring the rock burst phenomenon during the construction of deep-buried tunnels. The rock fracture in the tunnel will generate seismic waves.
Guili Peng +4 more
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Research on microseismic event imaging based on waveform clustering analysis
矿业科学学报, 2022 The quality of microseismic data greatly affects the accuracy of the source location results, especially in surface microseismic data where the first arrivals of P waves and S waves are not obvious or the low signal-to-noise ratio signals are difficult ...
Li Dewei, Yang Ruizhao, Meng Lingbin
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Remote Sensing, 2023 Numerous microseismic signals are produced by rock mass fracture during earthquakes, geological disasters, or underground excavations. Moreover, a large amount of noise signals are captured during microseismic signal monitoring.
Chunchi Ma +8 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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Frontiers in Earth Science, 2022 Microseismic events can be used to analyze the risk of tunnel collapse, rock burst, and other mine hazards in space and time. In practice, the artificial activities and other signals at the mining site can seriously interfere with the microseismic ...
Da Zhang +20 more
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