f A Robust and Accurate Green's Function Interpolation for Imaging

This paper describes a simple interpolation methodology for the accurate Green's function estimates in order to be used by the seismic imaging - migration or inversion. The methodology is based on Dix's hyperbolic equation and revealed successfuly, and even applicable when the Green's function is interpolated from spatially wider fictitious sources. These features decreases the overall CPU time, the data volume and the associated data-handling costs, yelding to a computational effort reduction of the imaging algorithm.