Inversion Method Based on F-K Spectrum for The High-Speed Train Seismic Data

Summary As a new type of seismic source, high-speed train (HST) seismic source has great application potential in subsurface imaging in terms of high intensity, strong repeatability and wide distribution. However, the HST seismic data is highly interfered in the time-space domain. Besides, the body waves are almost swamped in strong surface waves. Therefore, it is difficult to directly use this kind of seismic data for subsurface exploration. Considering the characteristic differences between surface waves and body waves in the frequency-wavenumber (F-K) domain, it is more conducive to separate the surface waves and body waves for the HST seismic data in the F-K domain, so as to use different wavefield information in sequence. Therefore, in this study, we attempt to apply the inversion method with F-K spectrum as the objective function to the HST seismic data, which aims to more effectively utilize the surface waves and body waves in the HST seismic data. Numerical experiments show that the proposed inversion method is beneficial to make better use of the surface waves and body waves in the HST seismic data, which is hopefully to provide more insights on the use of HST seismic data for subsurface monitoring and detection.