Results 21 to 30 of about 615 (171)

Wavelet Transform-Based Fuzzy Clustering Microseismic First-Arrival Picking Method

IEEE Access, 2023
Microseismic arrival time picking serves as the foundation for microseismic source localization and holds significant importance in the field of microseismic monitoring.
Tingting Lin, Jingwang Cheng, Qiang Chen, Siyu Cui   +3 more
doaj   +1 more source

An Effective Denoising Method Based on Cumulative Distribution Function Thresholding and its Application in the Microseismic Signal of a Metal Mine With High Sampling Rate (6 kHz)

Frontiers in Earth Science, 2022
Microseismic events can be used to analyze the risk of tunnel collapse, rock burst, and other mine hazards in space and time. In practice, the artificial activities and other signals at the mining site can seriously interfere with the microseismic ...
Da Zhang, Da Zhang, Da Zhang, Zhiyi Zeng, Zhiyi Zeng, Zhiyi Zeng, Yaqian Shi, Yaqian Shi, Yaqian Shi, Ying Chang, Ying Chang, Ying Chang, Rui Dai, Rui Dai, Rui Dai, Hu Ji, Hu Ji, Hu Ji, Peng Han, Peng Han, Peng Han   +20 more
doaj   +1 more source

Time series prediction of microseismic energy level based on feature extraction of one-dimensional convolutional neural network

工程科学学报, 2021
With the gradual transition of coal mining to deep mining, the number and intensity of rock burst events in the deep mining process are gradually increasing.
Yan-yu PEI, Xiao-bin YANG, Jin-ping CHUAN, Xue-song WU, Hong-ming CHENG, Xiang-feng LÜ   +5 more
doaj   +1 more source

A three-dimensional microseismic downhole noise suppression based on polarization filtering method in Shearlet transform

Frontiers in Earth Science, 2023
Microseismic noise suppression is widely used in the exploration of unconventional oil and gas resources. The effective microseismic downhole signals have extremely weak energy and are contaminated by strong interference, making data processing and ...
Li Han, Dongyan Wang, Pengjun Yu
doaj   +1 more source

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

Microseismic Signal Classification Based on Artificial Neural Networks

Shock and Vibration, 2021
The classification of multichannel microseismic waveform is essential for real‐time monitoring and hazard prediction. The accuracy and efficiency could not be guaranteed by manual identification. Thus, based on 37310 waveform data of Junde Coal Mine, eight features of statistics, spectrum, and waveform were extracted to generate a complete data set. An
Chong-wei Xin, Fu-xing Jiang, Guo-dong Jin   +2 more
openaire   +2 more sources

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

The Optimum Wavelet Base of Wavelet Analysis in Coal Rock Microseismic Signals

Advances in Mechanical Engineering, 2014
Coal rock rupture microseismic signal is characterized by time-varying, nonstationary, unpredictability, and transient property. Wavelet transform is an important method in microseismic signals processing. However, different wavelet bases yield different
Shoufeng Tang, Minming Tong, Xinmin He
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