Seismic Trace Highlight Using Time-Time Transform

Effective seismic data quality is fundamentally governed by its inherent spatial and temporal resolution, which often diminishes with depth due to frequency-dependent attenuation. Addressing this critical challenge, we propose a novel spectral enhancement algorithm based on a modified TT-transform and tailored bandpass second-derivative filters. This approach leverages the concept of nonstationary differential resolution (NSDR) to significantly improve seismic resolution in both the time and depth domains. Our methodology generates a unique sample-by-sample local wavelet through the TT-transform, allowing for highly localized and precise spectral balancing. The integration of specialized second-derivative filters within the NSDR framework aims to enhance high-frequency content while mitigating noise. A key advantage of our algorithm is its trace-by-trace processing capability, which makes it inherently suitable for complex, multidimensional seismic datasets, including prestack and multiazimuth acquisitions, thus vastly expanding its applicability and versatility for modern seismic workflows. We rigorously demonstrate the method's effectiveness using real-world Prestack Depth Migration (PSDM) seismic data from Offshore Brazil, a geologically complex and highly prospective region. Our results unequivocally show a substantial improvement in the clarity and detail of subsurface structures. Furthermore, we illustrate that this enhanced seismic resolution directly translates to significantly improved relative pseudoimpedance inversions, providing more accurate quantitative interpretations of reservoir properties. This advancement provides a powerful tool for enhanced subsurface characterization, resulting in more reliable geological models, optimized well placements, and ultimately, reduced exploration and development risks.