Results 31 to 40 of about 23,608,882 (224)
Smart Prediction of Rockburst Risks Using Microseismic Data and K-Nearest Neighbor Classification
GeoHazardsEffective mitigation of geotechnical risk and safety management of underground mine requires accurate estimation of rockburst damage potential. The inherent complexity of the rockburst phenomena due to nonlinear, high dimensional, and interdependent ...
Mahmood Ahmad +7 more
doaj +1 more source
Gong-kuang zidonghuaThe identification of microseismic events is the foundation of microseismic monitoring in coal mines. Most existing microseismic monitoring technologies are developed based on the variation law of single physical quantities, which can easily lead to ...
CHENG Jian +4 more
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Genetic Programming-Based Prediction Model for Microseismic Data
Geofluids, 2022 Microseismic monitoring is a rock breakdown monitoring technology, and it has become a major technical tool for underground disaster warning and prevention.
Man Wang +5 more
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Simultaneous inversion of multiple microseismic data for event locations and velocity model with Bayesian inference [PDF]
, 2016 We have applied Bayesian inference for simultaneous inversion of multiple microseismic data to obtain event locations along with the subsurface velocity model.
Zhishuai Zhang +10 more
core +1 more source
Sensors, 2023 We propose a method to enhance the accuracy of arrival time picking of noisy microseismic recordings. A series of intrinsic mode functions (IMFs) of the microseismic signal are initially decomposed by employing the ensemble empirical mode decomposition ...
Xiaohui Zhang +2 more
doaj +1 more source
An optimizing microseismic method for rock burst early warning based on mining production process
Deep Underground Science and Engineering, EarlyView.A classification early warning method of rock burst based on hourly microseismic data is proposed, which can be combined with the on‐site production process to provide more timely warning. Abstract Microseismic (MS) events have been reported in nearly every coal mining country, which could well lead to rock burst in underground coal mines.
Zepeng Han +6 more
wiley +1 more source
Microseismicity data for hydrofracture experiment
, 2020 Microseismicity locations in a local coordinate system in the plane of the fracture. Each of the files VascoEtAl_JGR_2020.*minutes.dat represents the seismicity during a 10 minute increment measured from the start of injection. The file VascoEtAl_JGR_2012.times.moments.xy contains the event moment magnitudes as a function of time since the start of ...
openaire +2 more sources
Deep Underground Science and Engineering, EarlyView.Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu +4 more
wiley +1 more source
A dual branch model for predicting microseismic magnitude time series named DTFNet
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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Prediction method for rockburst hazard areas based on microseismic spatiotemporal flow map
Gong-kuang zidonghuaThe spatiotemporal distribution characteristics of microseismic events are closely related to the intensity of rockbursts in coal mines. Prediction methods and visual representations of microseismic data based on machine learning are important technical ...
CAO Anye +4 more
doaj +1 more source