Spice Project R&T Workshop II, Smolenice castle, Slovakia, 2005
M. Corciulo, M. Vassallo, A. Zollo
This study deals with the processing and modeling of a high quality seismic data-set acquired in 1999 in the Southern Apennine (Val d'Agri region), by Enterprise Oil Italiana and E.N.I., using a global offset acquisition 2D geometry. A reliable velocity model is obtained by the tomographic inversion of first arrivals using the method proposed by Benz (1984) which solves the inversion problem with a linearized, perturbative approach. To identify reflected/converted waves a velocity analysis, based on normalized crosscorrelation sum, is performed on data organized in CDP panels. This analysis allows to compute stacking velocity panels then used to perform stack sections. These sections are used for the migration of reflectors using a new method for depth migrating reflected/converted phases. Using as background model the model retrieved by the tomographic inversion, this new method is based on the automatic, iterative phase searching and inversion using the maximum semblance criterion. The reflector is represented by a cubic spline curve, and parametrized by a number of regularly spaced, control points. The best-fit interface parameters (depth coordinates of control points) are estimated by a global optimization technique (genetic algorithm) and by a multiscale approach aimed at maximizing the reflected/converted waveform lateral coherence.