Abstract
“DEDICATED - Case Studies in Diffraction Imaging and Interpretation” Diffractions contain key information about small-scale inhomogeneities and discontinuities in the subsurface. In this paper we employed a modified Common-Reflection-Surface (CRS) equation, tailored for common-offset sections, with the aim of separating diffractions from reflections. As a next step, diffraction apex binary mapping and the MUltiple SIgnal Classification (MUSIC) algorithm were employed as a higher-resolution imaging. The feasibility of the technique is demonstrated using a field Ground Penetrating Radar (GPR) data that provides a significant diffraction separation and a fairly good image of the faults that correlate well with an independent interpretation of the time-migrated reflections.
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