Source-receiver migration of multiple reflections

Multiple reflections are usually considered to be noise and many methods have been developed to attenuate them. However, similarly to primary reflections, multiple reflections are created by subsurface reflectors and contain their reflectivity information. We can image surface related multiples, regarding the corresponding primaries as the sources. Traditional source-receiver migration assumes that the source is an impulse function. I generalize the source-receiver migration for arbitrary sources, and apply it to the migration of multiple reflections. A complex synthetic dataset is used to test the theory. Results show that my multiple migration algorithm is effective for imaging the multiple-contaminated data.