The optimum color operator for recovering low frequencies
Sina Esmaeili, Gary F. Margrave
Most Seismic data processing algorithms try to shape seismic data into a white spectrum during deconvolution procedure. In reality most natural occurring reflectivity sequences have coloured spectra instead of white spectra. Studying the actual earth reflectivity and its spectra's shape are showing that the effect of coloured spectra is more significant in frequencies below than 50Hz.
We study the spectral property of seismic data, and by using the well reflectivity, we introduce a new technique to shape the white spectrum of deconvolved data into the coloured spectrum of reflectivity. This leads to better recovery of the low frequency component and hence better inversion.