I always thought that chirp data could be treated as ultra
high resolution seismic. The common envelope chirp technique degrades the
resolution and loses information. For that I prefer to process the uncorrelated
data as land vibroseis. In the paper
An improved processing sequence for uncorrelated Chirp sonar data
(Marine
Geophysical Research
doi:10.1007/s11001-014-9220-1)
I show the method to obtain ultra high
resolution seismic
data from uncorrelated data. The kernel is to find a
minimum-phase wavelet equivalent to sweep chirp. The Wiener filter, which
transforms sweep into wavelet, is applied to all uncorrelated dataset. After, to
attenuate the ripples, you can use a predictive deconvolution (dataset is
minimum-phase). Lateral resolution can be improved with FX deconvolution,
vertical with migration :)
Example
envelope vs minimum-phase chirp.
Note: All chirp data collected by R/N Explora - OGS.
I thank dr. R. Codiglia.
Example
envelope vs minimum-phase chirp.