GNGTS 2018 - 37° Convegno Nazionale

578 GNGTS 2018 S essione 3.1 discontinuities of the horizons, therefore allowing to better identifying channels geometries, fractures and faults (Fig. 2). Combining Coherence with other attributes, it was also possible to display how extensional tectonics affected the area by disrupting the channel features. The identification of these complex channels patterns was also aided by the Spectral Decomposition attribute, by introducing a chromatics visualization that emphasize their visualization, otherwise unclear in the standard seismic sections and time-slices (Fig. 3). Lateral changes of seismic facies and thickness variations were strongly enhanced by Red Green and Blue (RGB) colour blending, which provides effective “maps” of the inner channels geometries. The simultaneous use of different attributes and their comparison allowed to discriminate geological elements and their linkage. The multiple combination of attributes, made it possible to analyse the channels geometrical characteristics like width, length and variations with depth, calculating “Sinuosity Index” (Leopold and Wolman 1957; Brice, 1974), ranging from straight (Is=1) to meandering channels (Is>1.5). The results highlighted in this work, through the identification of morphologic, Fig. 2 - Coherence attribute applied both on horizon and on the seismic line to enhance the visualization of structural features. Fig. 3 - Horizons with the application of attributes of: a) RMS; b) Spectral Decomposition.