Spectral seismic interferometry: Efficient monitoring of unbiased seismic velocity changes at high temporal resolution

Christoph Sens-Schönfelder 

Ambient noise based monitoring of subsurface velocity changes does not require the explicit retrieval of Green's functions by correlation. Velocity variations can directly be observed from the fluctuations in the spectrograms of ambient noise time series or their cross-spectra. This approach is more resource efficient than the conventional Green's function based monitoring and ideally suited for edge processing and the analysis of large volumes of data for example from fibre-optic records. The spectral fluctuations result from wave propagation in the heterogeneous subsurface and interference between different scattering paths. The fluctuations are directly related to the occurrence of coda waves in the Green's function. In contrast to coda wave interferometry in the time domain, monitoring the evolution of spectral fluctuations allows for measurements of velocity changes that are unbiased by changes in the source spectrum. Recognizing that the imprint of the subsurface heterogeneity is directly encoded in the spectral fluctuations opens a new perspective on the investigation of subsurface scattering and attenuation.