Left- and right-going wavefield separation of high-speed train seismic records using randomized Cadzow filtering

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ID: 338359
2026
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Abstract
Summary High-speed trains can serve as highly repeatable, low-cost seismic sources for subsurface imaging and monitoring along railway corridors. In viaduct settings, however, a passing train continuously excites multiple bridge piers, causing strong superposition of left- and right-going wavefields and severe crosstalk. As a result, train-passage records, despite their high signal-to-noise ratio, cannot be directly used. To address this limitation, we propose a wavefield-separation method based on randomized Cadzow filtering. The workflow integrates Radon-based apparent-velocity estimation, time flattening, local-block random permutation, and low-rank block Hankel reconstruction to separate left- and right-going wavefields in HST seismic data. Synthetic and field examples demonstrate that, compared with traditional methods, the proposed approach more effectively suppresses backward-propagating energy and wavefield crosstalk, while recovering unidirectional wavefields with improved continuity and greater amplitude and phase stability, leading to higher-quality virtual shot gathers and clearer dispersion images.
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openalex_W7225197186 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Fan Yan, Xiaokai Wang, Wenchao Chen, Dawei Liu, Shengpei Xia, Jingrui Luo, Zhaodan Liu
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Journal geophysical journal international
Year 2026
DOI
10.1093/gji/ggag475
URL
https://doi.org/10.1093/gji/ggag475
Keywords Keywords not found

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