Hybrid F-K Filtering and Deep Learning for P/S Separation in DAS VSP Data (opens in new tab)

The accurate separation of P-waves and P–S converted waves in distributed acoustic sensing (DAS) vertical seismic profiling (VSP) data is crucial for underground imaging. Traditional methods suffer from severe artifacts, and standard polarization analysis is inapplicable to single-fiber measurements. While pure end-to-end deep learning methods are powerful, their application to actual field data is often bottlenecked by the scarcity of real-world labels. In this study, we propose FKPSN, repre...