Results 101 to 110 of about 7,669 (224)

A Method for Predicting the Timing of Mine Earthquakes Based on Deformation Localization States

Mathematics
As a prevalent geological hazard in underground engineering, the accurate prediction of mine earthquakes is crucial for ensuring operational safety and enhancing mining efficiency.
Chenli Zhu, Linlin Ding, Yimin Song, Yuda Li   +3 more
doaj   +1 more source

Study of seismic activity in the Haiyuan-Liupanshan region using automated microseismic detection techniques

Geomatics, Natural Hazards & Risk
Using continuous waveform data from 27 fixed seismic stations in Ningxia spanning nearly a decade from 2013 to September 2022, the automatic detection matching method (PALM) was employed to capture 34,373 seismic events across the region, which is twelve
MengYa Li, YiJian Zhou, XianWei Zeng, ChenXi Wang, JiaWei He   +4 more
doaj   +1 more source

Multi-channel microseismic signals classification with convolutional neural networks [PDF]

Identifying and classifying microseismic signals is essential to warn of mines’ dangers. Deep learning has replaced traditional methods, but labor-intensive manual identification and varying deep learning outcomes pose challenges.
Tang, Zheng, Mou, Lei, Dawod, Ahmad Yahya, Tepsan, Worawit, Shu, Hongmei   +4 more
core   +2 more sources

LSTM multivariate model based microseismic time-series prediction and rockburst early warning

Frontiers in Earth Science
Aiming at the prominent rockburst risk in deep mining of Kongzhuang coal mine with high in-situ stress and thick hard roof, this study takes microseismic monitoring time-series data as the research object, and constructs a set of rockburst prediction and
Zenglun Guan, Feng Jin, Hui Zhao, Peng Wang, Yubao Zhao, Yubao Zhao, Lingjin Zhu, Qiang Yuan, Yulong Chen   +8 more
doaj   +1 more source

Microseismic Monitoring and Denoising [PDF]

, 2017
Microseismic data recorded by surface arrays are often strongly contaminated by unwanted noise. This background noise makes the detection and location of small magnitude events difficult. The focus of this dissertation is to develop methods for improving
Mousavi, Syed Mostafa
core  

MICROSEISMIC ACTIVITY IN A LANDSLIDE AREA

, 1982
We observed microseismic events associated with the soil mass movement simultaneously at 9points with their intervals, except 2 points, of about 30 m in a landslide area.
前田, 憲二, 島, 通保
core  

An Effective Physics‐Informed Neural Operator Framework for Predicting Wavefields

Journal of Geophysical Research: Machine Learning and Computation
Solving the wave equation is fundamental for many geophysical applications. However, numerical solutions of the Helmholtz equation face significant computational and memory challenges.
X. Ma, T. Alkhalifah
doaj   +1 more source

Effective VTI anisotropy for consistent monitoring of microseismic events

, 2011
The monitoring of induced or triggered microseismic events increasingly is being used to inform the efficient production of unconventional reservoirs. A key aspect of economic production in these low-permeability rocks is hydraulic fracture stimulation,
Davide Gei, Michael C. Mueller, Yang Zhang, Leo Eisner, Peter Duncan, Michael P. Thornton   +5 more
core   +1 more source

Rock Damage Characterisation from Microseismic Monitoring

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  

Study on rockburst mechanism and risk identification for isolated working face in extra-thick coal seam fold zone. [PDF]

Sci Rep
Xie Y, Cao A, Li G, Zhao W, Zhang C, Feng Z.   +5 more
europepmc   +1 more source