• seismic data processing
• Marine data processing
• radon filter
• radon transform
• mva analysis
• CROP M-16
• surface consistent amplitude correction

This thesis illustrates the reprocessing of the M-16 seismic line, which was acquired in the framework of the CROP project, in the Central Adriatic Sea orthogonally with respect to the Northern Apennine frontal thrust. The data offers opportunities for investigating the crustal structure and complex geological environment of the Central Mediterranean Sea. This work focuses on enhancing data quality, specifically by improving the attenuation of multiples, and on estimating a depth velocity model to preliminarily locate the hypocenter of a recent earthquake. The processing is composed of two main parts. The initial part is focused on time processing and includes noise attenuation, amplitude compensation, the estimation of an initial stacking velocity model, and a final stack section. The final part of the thesis is focused on the estimation of a depth velocity model to be used as input for pre-stack depth migrating the data. The depth velocity model is carried out by means of migration velocity analysis, thus assessing the reliability of the estimated velocity model through the analysis of the common image gathers. Finally, the obtained velocity model is used to compute the final depth migrated section. Depth imaging achieved exhibits an enhanced signal-to-noise ratio, different layers and a prominent continuous gently dipping reflector. Furthermore, the mainshock of a recent earthquake is projected on the final section in depth. A future study could use the estimated velocity model in depth to attain a more accurate hypocenter location, presently estimated to be at a depth of approximately 5 km.