Minghao Yu

Mr. Minghao Yu

Jilin University, Changchun, Jilin, China
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 October 2023 in Applied Thermal Engineering
Verified
Journal Article
Closed access
KZKezheng Zhang
Kezheng Zhang
Yang LiYang Li
Yang Li
SCSe-Myong Chang
Se-Myong Chang
LHLifen Hu
Lifen Hu
XWXiangyang Wang
Xiangyang Wang
MYMinghao Yu
Minghao Yu

26 October 2022 in Applied Sciences
Verified
Journal Article
Open access
PDF file
MYMinghao Yu
Minghao Yu
XGXiangbo Gong
Xiangbo Gong
XWXiaojie Wan
Xiaojie Wan
The technique of the source array based on the vibroseis can provide the strong energy of a seismic wave field, which better meets the need for seismic exploration. The seismic coherent noise reduces the signal-to-noise ratio (SNR) of the source array seismic data and affects the seismic data processing. The traditional coherent noise removal methods often cause some damage to the effective signal while suppressing coherent noise or cannot suppress the interference wave effectively at all. Based on the multi-scale and multi-direction properties of the non-subsampled Shearlet transform (NSST) and its simple mathematical structure, the seismic coherent noise removal method of source array in NSST domain is proposed. The method is applied to both the synthetic seismic data and the filed seismic data. After processing with this method, the coherent noise of the seismic data is greatly removed and the effective signal information is greatly protected. The analysis of the results demonstrates the effectiveness and practicability of the proposed method on coherent noise attenuation.