Results 31 to 40 of about 2,481,817 (206)

Prediction of microseismic events in rock burst mines based on MEA-BP neural network

Scientific Reports, 2023
Microseismic monitoring is an important tool for predicting and preventing rock burst incidents in mines, as it provides precursor information on rock burst.
Tianwei Lan, Xutao Guo, Zhijia Zhang, Mingwei Liu   +3 more
doaj   +1 more source

Investigation on rock mass stability monitoring system and activity characteristic in deep mining [PDF]

MATEC Web of Conferences, 2022
The monitoring system of rock mass stability and activity characteristic was established using the microseismic monitoring technology in view of the problem that the dynamic disaster of ground pressure was easy to occur in the process of deep mining. The
Shi Feng, Zhang Da, Wang Ping, Cai Yongshun, Yuan Bensheng   +4 more
doaj   +1 more source

Quantitative Evaluation of the “Non-Enclosed” Microseismic Array: A Case Study in a Deeply Buried Twin-Tube Tunnel

Energies, 2019
The high-stress hazards of underground engineering have stimulated the exploration of microseismic monitoring and early warning methods. To achieve a good monitoring effect, the monitoring object is usually enclosed by a microseismic array (sensor array)
Hang Zhang, Chunchi Ma, Tianbin Li
doaj   +1 more source

Microseismic Monitoring, Positioning Principle, and Sensor Layout Strategy of Rock Mass Engineering

Geofluids, 2020
Microseismic monitoring technology can start from the most initial stage of rock deformation and track and monitor the progressive failure process of rock mass from the fracture of rock blocks to the instability of rock mass.
Tianhui Ma, Daoyuan Lin, Chun’an Tang, Kedar Prasad Yadav, Zhiqiang Feng, Ke Ma   +5 more
doaj   +1 more source

Uncertainty in surface microseismic monitoring [PDF]

ASEG Extended Abstracts, 2013
Uncertainty in a migration based approach to surface and near surface microseismic monitoring occurs in two ways: uncertainty in the validity of detected events and uncertainty in the estimated position of the event. Synthetic modeling and comparison to case studies show that sign-to-noise-ratio is a key indicator of both types of the uncertainties. In
Michael Thornton, Leo Eisner, Mike Mueller   +2 more
openaire   +1 more source

Automatic Events Recognition in Low SNR Microseismic Signals of Coal Mine Based on Wavelet Scattering Transform and SVM

Energies, 2022
The technology of microseismic monitoring, the first step of which is event recognition, provides an effective method for giving early warning of dynamic disasters in coal mines, especially mining water hazards, while signals with a low signal-to-noise ...
Xin Fan, Jianyuan Cheng, Yunhong Wang, Sheng Li, Bin Yan, Qingqing Zhang   +5 more
doaj   +1 more source

Real time identification of microseismic events based on ridge regression improved normative variable analysis

Gong-kuang zidonghua
The identification of microseismic events is the foundation of microseismic monitoring in coal mines. Most existing microseismic monitoring technologies are developed based on the variation law of single physical quantities, which can easily lead to ...
CHENG Jian, SHI Linsong, LUO Yi, ZHOU Tianbai, YANG Lingkai   +4 more
doaj   +1 more source

Microseismic data

, 2020
This is the data set and label set of microseismic monitoring, including forward modeling seismic signals and measured microseismic ...
zhang, J (via Mendeley Data)
core   +2 more sources

Regional Damage Warning for Rock Mass via Acoustic Emission and Microseismic Monitoring Data

Applied Sciences
In the process of deep hard rock mining, dynamic disasters, such as rockbursts and large-scale collapses, pose a serious threat to the production safety and sustainable development of mines.
Congcong Zhao, Yinghua Huang
doaj   +1 more source

Stability analysis of underground oil storage caverns by an integrated numerical and microseismic monitoring approach

, 2016
Underground storage in unlined caverns is of great significance for storing energy resources. Construction of underground storage caverns is an extremely complex process, involving extensive multi-bench excavation and strong unloading. Excavation-induced
Tang DH, Zhang QB, Tang CA(唐春安), Ma K(马克), Zhuang DY, Wang LX, Zhang, QB (reprint author), Monash Univ, Dept Civil Engn, Clayton, Vic 3800, Australia., Zhao J   +7 more
core   +1 more source