Using Post Stack Deconvolution to Enhance the Utilization of Spectral Decomposition in Stratigraphic Interpretation

Abstract The effectiveness of spectral decomposition in seismic interpretation largely depends on the bandwidth and amplitude of frequencies present in the seismic volume. In deeper reservoir intervals, high-frequency signals tend to be attenuated, resulting in spectral volumes with limited resolution and weak stratigraphic detail. This study introduces a streamlined post-stack deconvolution workflow designed to enhance the spectral content of seismic data prior to decomposition. By extracting and averaging wavelets from well log data and applying deconvolution trace-by-trace, the embedded wavelet is replaced with a more realistic representation of the subsurface response. This improves the frequency bandwidth and enables a more detailed spectral decomposition. Comparative analysis between the original and deconvolved volumes—visualized through RGB spectral blends—demonstrates that the deconvolved data exhibits a broader frequency range (up to 75 Hz vs. 60 Hz), stronger amplitudes in the mid-to-high frequency bands, and greater detail, particularly in deeper sections. New stratigraphic features become visible, and previously subtle features are rendered with improved clarity. This approach offers a simple yet effective enhancement to seismic interpretation workflows, requiring minimal computational effort and no reprocessing of the original seismic data.