Results 11 to 20 of about 7,669 (224)
Decision Tree Model for Rockburst Prediction Based on Microseismic Monitoring
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
doaj +2 more sources
.Design of acquisition system of multi-channel microseismic signal
Gong-kuang zidonghua, 2018 In view of problems of high cost and low universality existed in current acquisition systems of mine microseismic signal, an acquisition system of multi-channel microseismic signal was designed.
CAI Jianxian +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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Investigation of Microseismic Characteristics of Rock Burst Based on Fractal Theory
Applied Sciences, 2023 Microseismic monitoring is a common monitoring tool in the mining production process; for supervising a huge amount of microseismic data, effective analysis tools are necessary.
Ping Wang, Ze Zhao, Da Zhang, Zeng Chen
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Coalescence microseismic mapping [PDF]
Geophysical Journal International, 2013 Earthquakes are commonly located by linearized inversion of discrete arrival time picks made from signals recorded at a network of seismic stations. If mis-picks are made, these will contribute to the location, therefore causing potential bias. For data recorded by a dense seismic array, direct imaging methods can be applied instead.
Drew, J. +3 more
openaire +3 more sources
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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Applied Sciences, 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 ...
Xuelong Li +4 more
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The robustness of seismic moment and magnitudes estimated using spectral analysis [PDF]
, 2014 calculate seismic moment. This is an important topic for operators and regulators who require good magnitude estimates when monitoring induced seismicity.
Verdon, James P +5 more
core +1 more source
, 2020 This is the data set and label set of microseismic monitoring, including forward modeling seismic signals and measured microseismic ...
zhang, J (via Mendeley Data)
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