Focusing Inversion Based Spectral Analysis for Reservoir Characterization

We developed a regularized focusing inversion-based algorithm for the spectral decomposition of seismic data. The results showed that the developed algorithm provides more reliable stratigraphic and structural information about the subsurface features that will EAGE Seismic Driven Reservoir Characterization and Production Management 2015 Kuala Lumpur, 20 - 22 April 2015 result in reduced interpretation uncertainty. The spectra obtained through inversion is highly depends on the constraints applied during the inversion. The usage focusing stabilizers insures a compact inversion result which in turn, means higher time and frequency resolution for the spectral decomposition. The comparison with the conventional methods shows that the focused inversion based spectral analysis shows an improvement to the spectral resolution and produces sharper images with more reliable and detailed structural and stratigraphic features.