Results 41 to 50 of about 7,669 (224)

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, Norman, Emma Catherine   +1 more
core  

Uncertainty of microseismic sources identification and probabilistic location in underground excavation

Frontiers in Earth Science
Microseismic (MS) source location is an integral component of MS technology and essential to understanding the rock failure mechanism and avoiding potential geological hazards in underground rock excavation. However, accurate location remains challenging
Xu Liang
doaj   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue 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  

Dynamic evolution characteristics and risk assessment of floor microseismic in close repeated mining

Meitan kexue jishu
The prevention and control of floor water damage has always been the top priority in coal mine safety. Currently, there is a paucity of research on the prediction and control of water damage during repeated mining activities within closely spaced coal ...
Jing JIA, Jinyan ZHOU, Qinghua NIU
doaj   +1 more source

Mechanism of “seesaw‐type” rock burst in coal seam mining beneath mountainous areas

Deep Underground Science and Engineering, EarlyView.
This study reveals the mechanism of “seesaw‐type” rock bursts during coal mining beneath mountainous areas. The advancing working face induces nonuniform fracturing of the overburden. The detached mountain mass then undergoes a seesaw‐type rotational movement around a shifting pivot, driving the primary fracture through a characteristic “open‐close ...
Chao Zhou, Xueqiu He, Zhenlei Li, Ping Wang, Dazhao Song, Fuxing Jiang, Shan Yin, Anliang Lü, Menghan Wei, Taoping Zhong   +9 more
wiley   +1 more source

Quality Assessment of Microseismic P-Phase Arrival Picks and Its Application of Source Location in Coal Mining

, 2022
Correctly identifying abnormal and false P-phase arrival picks (P-pick) in underground coal mining is essential to microseismic source location. Manual judgement and identification are time-consuming with the increasingly growing monitoring data.
Lang Liu, Geng Xie, Mengbo Zhu, Jianyuan Cheng, Huisheng Qu   +4 more
core   +1 more source

Exponentially‐constrained Gaussian mixture model for quantifying vertical development of water‐conducting fracture zones in lithologically stratified mining roofs

Deep Underground Science and Engineering, EarlyView.
This study proposes an exponentially‐constrained Gaussian mixture model (EcGMM) to quantify vertical fracture heterogeneity in stratified roof strata. The model integrates a piecewise exponential decay term capturing global stress dissipation with Gaussian components representing localized fracture intensification at lithological interfaces.
Huiqing Yuan, Zhimin Xu, Weixiao Chen, Chenghang Zhang, Shijie Xiong, Yajun Sun   +5 more
wiley   +1 more source

Reusing depleted oil and gas wells for geothermal energy: Feasibility, challenges, and a decision‐making framework for sustainable conversion

Deep Underground Science and Engineering, EarlyView.
The graphical abstract presents a structured decision‐support framework for assessing the feasibility of converting depleted oil and gas wells into geothermal energy systems. The left panel illustrates a comprehensive, multi‐stage decision‐making framework progressing from prefeasibility screening and technical–economic analysis to policy alignment ...
Karolina Bieryt, Yu Pan, Heinz Konietzky, Fei Wang   +3 more
wiley   +1 more source

Deep convolutional neural network for microseismic signal detection and classification

, 2020
Reliable automatic microseismic waveform detection with high efficiency, precision, and adaptability is the basis of stability analysis of the surrounding rock mass. In this paper, a convolutional neural network (CNN)-based microseismic detection network
Pazzi V., Li T., Casagli N., Ma C., Zhang H.   +4 more
core   +1 more source