Full-waveform inversion (FWI) processing provides an improved and higher-resolution velocity model. This study focuses on how to use FWI products in seismic interpretation. One such product is FWI-derived reflectivity (FDR), which often has better illumination than migrated seismic images. We want to go beyond structural interpretation and utilize FDR data in reservoir characterization (e.g., fault imaging, resolution, and amplitude fidelity). FWI can be performed up to the maximum frequency available in the input seismic data. However, in the case of our study area in offshore Trinidad, the FDR data set is based on acoustic FWI with frequency only up to 10 Hz. While comparing amplitude extractions from full-stack and FDR data, we observe complementary amplitude distribution. Similar complementary information is found when we decompose the data in frequency bands (higher-frequency migrated seismic data and lower-frequency FDR data). We discuss the integration of the FDR volume in seismic interpretation with data examples. We combine FDR data with full-stack seismic data in two ways to generate new attributes for reservoir mapping and to reduce vertical and lateral uncertainty.

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