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MSBE-UNet: A deep learning denoising method for effective seismic noise suppression | Synapse
March 3, 2026
MSBE-UNet: A deep learning denoising method for effective seismic noise suppression
HX
Hongtao Xi
JL
Jingrui Luo
Xi'an University of Technology
JL
Jiangchao Liu
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Key Points
Improved seismic noise suppression leads to clearer data interpretation, enhancing analysis accuracy.
Denoising using MSBE-UNet demonstrates a significant reduction in noise levels, showcasing effectiveness.
Deep learning algorithms employed here proved effective for seismic noise reduction across various scenarios.
Improvement of data quality through advanced methods could lead to enhanced geological findings.
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Xi et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75b50c6e9836116a22723
https://doi.org/https://doi.org/10.1007/s11600-026-01799-3