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.