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Post-migration inverse Q filtering to enhance amplitude supported prospectivity evaluation

Our primary investigative tool for understanding the subsurface 
prospectivity is seismic data, where energy reflected from different 
seismic horizons can reveal the physical properties of these 
rocks. The deeper in the earth we look, the weaker the reflected 
signal will be, so finding ways to boost this signal, without 
affecting its properties is critical to being able to analyse this 
signal. Furthermore, seismic interpretation requires a quantitative 
understanding of the seismic data and it is common practice 
to assume that the seismic amplitudes can be understood in 
terms of either acoustic or elastic wave propagation. Preparing 
‘interpretation-ready’ seismic data therefore faces two possibly 
conflicting challenges. On the one hand, seismic processing 
should conserve the amplitude fidelity of the seismic data. On the 
other hand, compensation of viscous effects such as attenuation 
and dispersion facilitates data analysis.