Results 51 to 60 of about 3,230 (205)

Analysis and Optimization of Early‐Warning Indicators for Impact Critical Stress in Deep Soft Coal Seams

Energy Science &Engineering, EarlyView.
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, Xiufeng Zhang, Atao Li, Yanliang Wang, Long Yuan, Chaohong Shi, Yang Chen, Caiping Lu, Liangjin Jiang   +8 more
wiley   +1 more source

The Effect of Hydraulic Fracturing on the 2021 Ms 6.0 Luxian Earthquake as Revealed by Deformation and Numerical Simulations

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract This study investigates whether hydraulic fracturing contributed to the 2021 Ms 6.0 Luxian earthquake in the Sichuan Basin. Time‐series InSAR analysis of multi‐temporal Sentinel‐1 data reveals coseismic deformation associated with the 2021 Luxian earthquake and localized uplift near hydraulic fracturing platforms.
Xiaoran Fan, Guohong Zhang, Yosuke Aoki, Xinjian Shan   +3 more
wiley   +1 more source

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

Deep Underground Science and Engineering, Volume 5, Issue 2, Page 331-349, June 2026.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan, Haijiang Li, Hongqiang Xie, Mingli Xiao, Jianliang Pei, Huaizhong Liu, Jiangda He   +6 more
wiley   +1 more source

Analysis and optimization method of monitoring capability of coal mine microseismic monitoring network

, 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, LI Yan, CUI Baoge, WU Hongjun, WANG Yuanjie   +4 more
core   +1 more source

Study on the Influence of Slope Static Load on Shallow Lining Support Structure

Energy Science &Engineering, Volume 14, Issue 6, Page 2721-2735, June 2026.
On the basis of the background of the shallow‐buried main adit supported by stone lining, the mechanical model of the supporting structure is constructed, and the stability of the supporting structure is analyzed by using the methods of field investigation, theoretical analysis, and numerical simulation.
Hongwei Wang, Chaofeng Yuan, Jianqiang Jiao, Jinyuan Bai   +3 more
wiley   +1 more source

Microseismic Monitoring System Establishment and its Application to Xinzhangzi Coal Mine

, 2011
Microseismic monitoring technology is the important method for safety monitoring of coal mine. The Xinzhuangzi coal mine is high gas and outburst mine, in order to ensure safety in process of mining and tunneling, the microseismic monitoring system is ...
Xiao Jing Feng, Dong Duan, Chun An Tang
core   +1 more source

Fine Classification Method for Massive Microseismic Signals Based on Short-Time Fourier Transform and Deep Learning

Remote Sensing, 2023
Numerous microseismic signals are produced by rock mass fracture during earthquakes, geological disasters, or underground excavations. Moreover, a large amount of noise signals are captured during microseismic signal monitoring.
Chunchi Ma, Xuefeng Ran, Weihao Xu, Wenjin Yan, Tianbin Li, Kunkun Dai, Jiangjun Wan, Yu Lin, Ke Tong   +8 more
doaj   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

Energy Science &Engineering, Volume 14, Issue 6, Page 2941-2960, June 2026.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen, Linming Dou, Atao Li, Wu Cai, Lei Zhang   +4 more
wiley   +1 more source

Comparison of Surface and Downhole Microseismic Acquisition [PDF]

, 2017
The most common microseismic monitoring methods used in the industry today are by the use of surface arrays and downhole arrays. In surface acquisition, sensors are deployed on the surface in large two-dimensional arrays, allowing this method to provide
Rohan, Kara
core  

Subsurface Fluid Monitoring by Multi-Purposing Microseismic Sensor Arrays

, 2023
International audienceIn this paper we demonstrate how microseismic networks have been multi-purposed to identify variations in fluid saturation in the context of CO2 sequestration and underground gas storage. In traditional microseismic monitoring, only
Embry, J., Gouédard, P., Kremer, T., Engels, O., Voisin, Christophe, Renat, Z., Ars, J., Ferran, J., Gaubert, T.   +8 more
core   +1 more source