Spectral decomposition provides a method to utilize seismic data and the discrete Fourier transform (DFT) for delineating temporal bed thickness and geological discontinuities using 3D seismic data. By transforming the seismic data into the frequency domain via DFT, the amplitude spectra delineate temporal bed thickness variability while the phase spectra indicate lateral geologic discontinuities. The spectral content of seismic data is influenced by the acoustic properties in the Earth, and therefore significant information can be gained from the analysis of the seismic at different frequencies through spectral decomposition during seismic interpretation. The ability to examine and compare the response at different frequency bands is critical to obtain information that otherwise is difficult to visualize on the full bandwidth data.This signal analysis technology has been used successfully in 3D seismic surveys to delineate stratigraphic settings such as channelized features and structural settings with complex fault systems. Volumetric RGB (Red-Green-Blue) blends of the optimum frequency cubes rapidly assess and highlight the presence of geological features present in the seismic data. Seismic geomorphology facilitates the study of the subsurface by the extraction of geomorphologic insights from 3D seismic data. Spectral decomposition is a powerful technique to be used during seismic interpretation that allows the interpreter to quickly and effectively detect subtle discontinuities within large 3D surveys that otherwise remains hidden in the seismic data. This study demonstrates the added value of spectral decomposition volume interpretation to help delineate the geological model at various scales, from Exploration to Development studies.In the present work, a methodology to search, individualize, interpret and extract geobodies in 3D volume is proposed. Examples from the Grupo Cuyo in the Neuquén basin, Argentina are presented.