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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
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
Design of Initial Mining Pressure Relief Scheme for Large‐Size Mining Face: A Case Study
Engineering Reports, Volume 8, Issue 4, April 2026.The numerical simulation analysis method is used to compare the actual mining face (315 m) with the designed mining face (200 m). The results show that the large mining height working face has larger abutment pressure peak and stress concentration factor than the general mining height working face.
Qinghu Wei +3 more
wiley +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 Technology, Volume 14, Issue 4, April 2026.This article provides a comprehensive review of loss mechanisms in the generation stage of energy systems, covering fossil, nuclear, and renewable technologies. It examines their environmental and operational implications and shows how overlooking generation losses distorts efficiency assessments.
Pooya Parvizi +4 more
wiley +1 more source
Study on Rockburst Nucleation Process of Deep-Buried Tunnels Based on Microseismic Monitoring
Shock and Vibration, 2015 The objective of this study was to investigate the rockburst nucleation process and provide a theoretical basis for its prediction. A microseismic monitoring system was established in deep tunnels at Jinping II Hydropower Station.
Qun Yu +4 more
doaj +1 more source
Energy Science &Engineering, Volume 14, Issue 4, Page 1851-1863, April 2026.With the advancement of coal mining technology driving the development of working faces toward increased mining heights and extended lengths, the enlargement of face dimensions has led to expanded overlying strata failure zones and intensified ground pressure manifestations. Consequently, traditional methods for determining hydraulic support resistance
Chen Gong +5 more
wiley +1 more source
Automated Monitoring of a Hydraulic Fracture by Coalescence Microseismic Mapping
, 2010 Coalescence microseismic mapping (CMM) is a method of hypocenter determination that does not require any human interaction during microseismic monitoring.
Bill Underhill +3 more
core +1 more source
Multi-Index Monitoring and Evaluation on Rock Burst in Yangcheng Mine
Shock and Vibration, 2015 Based on the foreboding information monitoring of the energy released in the developing process of rock burst, prediction system for rock burst can be established.
Yunliang Tan +3 more
doaj +1 more source
Natural Gas Industry B, 2017 Zipper hydraulic fracturing in multiple wells with long horizontal sections is a primary solution means to increase the shale gas production rate and efficiency and to reduce the cost in Southern Sichuan Basin.
Furong Wu, Yuanyuan Yan, Chen Yin
doaj +1 more source