Results 31 to 40 of about 1,776,592 (192)

Integrated processing method for microseismic signal based on deep neural network [PDF]

, 2021
Denoising and onset time picking of signals are essential before extracting source information from collected seismic/microseismic data. We proposed an advanced deep dual-tasking network (DDTN) that integrates these two procedures sequentially to achieve
Nicola Casagli, Veronica Pazzi, Hang Zhang, Tianbin Li, Chunchi Ma, Yupeng Jiang   +5 more
core   +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

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 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

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

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

The robustness of seismic moment and magnitudes estimated using spectral analysis [PDF]

, 2014
calculate seismic moment. This is an important topic for operators and regulators who require good magnitude estimates when monitoring induced seismicity.
Verdon, James P, A.L. Stork, J.-M. Kendall, J.P. Verdon, Stork, Anna L, Kendall, J-M   +5 more
core   +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

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

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