Results 41 to 50 of about 2,481,817 (206)
Machine Learning Based Identification of Microseismic Signals Using Characteristic Parameters
Sensors, 2021 Microseismic monitoring system is one of the effective means to monitor ground stress in deep mines. The accuracy and speed of microseismic signal identification directly affect the stability analysis in rock engineering.
Kang Peng +3 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
Microseismic monitoring of the controls on coastal rock cliff erosion [PDF]
, 2012 The aim of this thesis has been to improve understanding of the controls on coastal rock cliff erosion, utilising microseismic ground motion. Coastal cliff erosion has remained poorly understood, in part confounded by the challenges associated with ...
NORMAN, EMMA,CATHERINE +1 more
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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
Meitan xuebaoMicroseismic monitoring data plays a crucial role in predicting and warning dynamic hazards such as coal mine rockburst. Utilizing historical microseismic monitoring data to forecast the evolution characteristics of future microseismic events is an ...
Changkun QIN +7 more
doaj +1 more source
Microseismic Data-Direct Velocity Modeling Method Based on a Modified Attention U-Net Architecture
Applied Sciences, 2023 In microseismic monitoring, the reconstruction of a reliable velocity model is essential for precise seismic source localization and subsurface imaging.
Yixiu Zhou +5 more
doaj +1 more source
Deep Underground Science and Engineering, EarlyView.The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li +4 more
wiley +1 more source
Microseismic Location Using Differential Backazimuth Angles [PDF]
, 2016 The most common procedure for locating borehole microseismic events is solution of a minimization problem based on observed travel time differences compared to calculated travel time differences derived from a given velocity model and oriented geophones.
Jacobsen, Rae
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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
doaj +1 more source
Application of CT inversion monitoring and early warning technology in microseismic anomaly area
Gong-kuang zidonghua, 2021 In order to solve the problems that microseismic monitoring can only reflect the danger of the area where the microseisms are located, and CT inversion monitoring cannot reflect the current danger level of the working face in time, taking the 3105 ...
LI Yunsheng1 +4 more
doaj +1 more source