Results 51 to 60 of about 5,383,519 (211)

Research on microseismic signal denoising based on variational mode decomposition and wavelet energy entropy

矿业科学学报, 2019
Microseismic monitoring technology is widely used in such fields as mining engineering,petroleum and gas exploitation,and safety monitoring.In order to solve the problem of random noise in microseismic signals collected by microseismic monitoring,a ...
Sun Yuan, Yang Feng, Zheng Jing, Zhang Hao, Xu Maoxuan   +4 more
doaj   +1 more source

Adaptive noise suppression for low-S/N microseismic data based on ambient-noise-assisted multivariate empirical mode decomposition

Frontiers in Physics, 2023
Microseismic monitoring data may be seriously contaminated by complex and nonstationary interference noises produced by mechanical vibration, which significantly impact the data quality and subsequent data-processing procedure.
Zhichao Yu, Zhichao Yu, Yingkun Huang, Zisen Fang, Yuyang Tan, Chuan He   +5 more
doaj   +1 more source

High-accuracy real-time microseismic analysis platform : case study based on the super-sauze mud-based landslide [PDF]

, 2020
Understanding the evolution of landslide and other subsurface processes via microseismic monitoring and analysis is of paramount importance in predicting or even avoiding an imminent slope failure (via an early warning system).
Stankovic, L., Pytharouli, S., Li, J., Stankovic, V.   +3 more
core  

Generation and Propagation of Microseismic Signals from Footsteps [PDF]

, 1973
Abstract : A study was conducted to investigate the generation and propagation of microseismic signals from man-walking targets. To illustrate the relation between terrain parameters and Rayleigh wage generation and propagation, the problem was divided into four parts, which were then studied graphically.
Bob O. Benn, Jerry R. Lundien
openaire   +1 more source

A method to estimate the microseismic magnitude based on vector scanning

地震科学进展, 2023
The magnitude of a seismic event can be estimated by measuring seismic energy, seismic moment, and relationship between the energy and seismic magnitude (M)，etc.
Yanjun Feng, Beiyuan Liang
doaj   +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

Automatic detection of arrival time for noisy microseismic data using a transformed difference between multiwindow energy ratios method. [PDF]

Sci Rep
Detection of arrival times of microseismic events is one of the most fundamental steps in the application of microseismic monitoring. However, accurately determining arrival time remains challenging due to low signal-to-noise ratio and the complexity of ...
Zhang Z, Cao W, Wang S, Yan H, Wang J, Arosio D, Hojat A, Zanzi L.   +7 more
europepmc   +2 more sources

Research on classification and identification of mine microseismic signals based on deep learning method

矿业科学学报, 2022
In order to accurately identify mine microseismic signals, this paper proposes a VGG4-CNN deep learning network model suitable for identifying mine microseismic signals. The model is written in Python language and built based on the PyTorch deep learning
Zhao Hongbao, Liu Rui, Liu Yihong, Zhang Yixiao, Gu Tao   +4 more
doaj   +1 more source

Recognition of Weak Microseismic Events Induced by Borehole Hydraulic Fracturing in Coal Seam Based on ResNet-10

Applied Sciences, 2023
Borehole hydraulic fracturing in coal mines can effectively prevent coal rock dynamic disasters. Accurately recognizing weak microseismic events is an essential prerequisite for the micro-seismic monitoring of hydraulic fracturing in coal seams.
Yunpeng Zhang, Nan Li, Lihong Sun, Jincheng Qiu, Xiaokai Huang, Yan Li   +5 more
doaj   +1 more source

Research on Automatic Classification of Coal Mine Microseismic Events Based on Data Enhancement and FCN-LSTM Network

Applied Sciences, 2023
Efficient and accurate classification of the microseismic data obtained in coal mine production is of great significance for the guidance of coal mine production safety, disaster prevention and early warning.
Guojun Shang, Li Li, Liping Zhang, Xiaofei Liu, Dexing Li, Gan Qin, Hao Li   +6 more
doaj   +1 more source