Results 41 to 50 of about 5,383,519 (211)

Methods for Identifying Effective Microseismic Signals in a Strong-Noise Environment Based on the Variational Mode Decomposition and Modified Support Vector Machine Models

Applied Sciences
The environment for acquiring microseismic signals is always filled with complex noise, leading to the presence of abundant invalid signals in the collected data and greatly disturbing effective microseismic signals.
Sheng Chen, Lanying Huang, Sihongren Shen, Bo Wang, Linfeng Zeng, Liujun Xie, Zilong She   +6 more
core   +2 more sources

Research on computational propagation and identification of mine microseismic signals based on deep learning. [PDF]

PLoS One
In the mining field, hydraulic fracturing of coal - seam boreholes generates a large number of weak microseismic signals. The accurate identification of these signals is crucial for subsequent positioning and inversion.
Liu D, Zhang J, Zhao B, Gao L, Zhou H, Cheng Z, Chen L, Li M.   +7 more
europepmc   +2 more sources

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

Analysis of rock microseismic signal based on blind source wavelet decomposition algorithm

AIP Advances, 2022
At present, microseismic technology is a widely used method for monitoring the rock burst phenomenon during the construction of deep-buried tunnels. The rock fracture in the tunnel will generate seismic waves.
Guili Peng, Dewen Liu, Jing Lu, Tong Shen, Shoubin Wang   +4 more
doaj   +1 more source

Research on microseismic event imaging based on waveform clustering analysis

矿业科学学报, 2022
The quality of microseismic data greatly affects the accuracy of the source location results, especially in surface microseismic data where the first arrivals of P waves and S waves are not obvious or the low signal-to-noise ratio signals are difficult ...
Li Dewei, Yang Ruizhao, Meng Lingbin
doaj   +1 more source

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

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

Microseismic Signal Characteristics of the Coal Failure Process under Weak-Energy and Low-Frequency Disturbance

Sustainability, 2023
In deep mining, “critical static stress + slight disturbance” is an important inducing form of coal mine rockburst disasters. In previous studies, the critical static stress has been shown to be consistent with the loading direction of a slight ...
Xiaoyuan Sun, Yongliang He, Tingxu Jin, Jianlin Xie, Chuantian Li, Jiewen Pang   +5 more
semanticscholar   +1 more source

Swin Transformer Based Recognition for Hydraulic Fracturing Microseismic Signals from Coal Seam Roof with Ultra Large Mining Height. [PDF]

Sensors (Basel)
Accurate differentiation between microseismic signals induced by hydraulic fracturing and those from roof fracturing is vital for optimizing fracturing efficiency, assessing roof stability, and mitigating mining-induced hazards in coal mining operations.
Wang P, Feng Y, Sun X, Cheng X.
europepmc   +2 more sources

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