Super-resolution by Moveout Correction and Migration of Surface-related Resonant Multiples

Surface-related resonant multiples can be migrated to achieve better resolution than primary reflection data. However, such multiples are only recorded by near-offset traces. As a result, the migration image using resonant multiples suffers from poor signal-to-noise ratio. In this report, I mitigate this problem by aligning the first-order surface-related multiples across different offsets with the zero-offset resonant multiples. Such an alignment is based on the moveout characteristics of the first-order surface-related multiples. Stacking the aligned multiples improves the signal-to-noise ratio of the zero-offset resonant multiples as well as the resulting migration image. Results with both synthetic and field data results validate this method and show migration images with super-resolution characteristics.