Results 71 to 80 of about 2,481,817 (206)
, 2022 The monitoring capability of microseismic monitoring network depends on many factors, such as network layout, velocity model, seismic phase reading error, regional anomaly of travel time, positioning algorithm, equipment running state and environmental ...
CHEN Fabing +4 more
core +1 more source
Qualification of the microseismic monitoring technique applied to the risk of collapse in iron ore mines [PDF]
, 2000 Experiments carried out in a working iron mine validated the microseismic monitoring technique as a means of detecting fracture noise emissions regarded as signals indicating an incipient collapse.
Senfaute, Gloria +3 more
core +4 more sources
Evaluating Fragmentation Detection in Block Caves Using Synthetic Muon Tomography
Geophysical Prospecting, Volume 74, Issue 7, September 2026.ABSTRACT Muon tomography is a geophysical imaging technique with growing application across a range of geological and industrial settings. By observing the arrival of naturally occurring muons, it is possible to reconstruct subsurface density distributions in three dimensions.
M. A. McLean +3 more
wiley +1 more source
Geophysical Research Letters, Volume 53, Issue 16, 28 August 2026.Abstract Condor Seamount is among the most seismically active regions on the Azores Plateau. In December 2019, an earthquake crisis occurred at the tip of the seamount, which was strongly felt on nearby islands. Two months after the peak of the crisis, we deployed a local network of five ocean‐bottom seismometers around the seamount, recording ...
Yingchen Liu +3 more
wiley +1 more source
Classification of Microseismic Signals Using Machine Learning
The 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.
Yi Cui +6 more
core +1 more source
Seismic Tremor as a Precursor to Hydrothermal Explosions Near Mutnovsky Volcano (Kamchatka)
Geophysical Research Letters, Volume 53, Issue 15, 16 August 2026.Abstract Mutnovsky Volcano, ∼70 km SW of Petropavlovsk‐Kamchatsky, exhibits persistent degassing, hosts active hydrothermal springs and the Mutnovsky Geothermal Power Plant (MGPP) on its slopes. Using the network covariance matrix approach, we analyzed seismic data recorded in 2023–2024 by 15 seismic stations operating around Mutnovsky Volcano.
Y. Berezhnev +7 more
wiley +1 more source
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 +1 more source
IEEE Access, 2018 Microseismic monitoring is widely applied in dams, mines, and various fields of underground engineering. The number of sensors in microseismic monitoring systems is usually very large, which will result in a huge amount of data being produced if the ...
Ran Zhang +3 more
doaj +1 more source
Energy Science &Engineering, Volume 14, Issue 8, Page 3726-3740, August 2026.This study determines the impact critical stress early‐warning indicators for deep soft coal seams: 18 MPa (shallow holes), 20 MPa (deep holes), and 3 MPa/d daily stress change rate, via theoretical, experimental and simulation methods. ABSTRACT The accurate determination of early‐warning indicators for critical impact stress in deep soft coal seams is
Haichen Yin +8 more
wiley +1 more source
Microseismic Monitoring - Methods and Interpretation [PDF]
ASEG Extended Abstracts, 2013 SUMMARY Microseismic monitoring is attracting great interest due to the application of passive seismic to shale play completion activities and the successful expansion of the method from downhole to surface and near-surface acquisition geometries. Fundamental to this application is the science behind the interpretations: The inherent capabilities and ...
openaire +1 more source