Fast least-squares migration with multiples and source estimation

TitleFast least-squares migration with multiples and source estimation
Publication TypeConference
Year of Publication2013
AuthorsNing Tu, Aleksandr Y. Aravkin, Tristan van Leeuwen, Felix J. Herrmann
Conference NameEAGE Annual Conference Proceedings
KeywordsEAGE, Imaging, multiples, source estimation, sparse

The advent of modern computing has made it possible to do seismic imaging using least-squares reverse-time migration. We obtain superior images by solving an optimization problem that recovers the true-amplitude images. However, its success hinges on overcoming several issues, including overwhelming problem size, unknown source wavelet, and interfering coherent events like multiples. In this abstract, we reduce the problem size by using ideas from compressive sensing, and estimate source wavelet by generalized variable projection. We also demonstrate how to invert for subsurface information encoded in surface-related multiples by incorporating the free-surface operator as an areal source in reverse-time migration. Our synthetic examples show that multiples help to improve the resolution of the image, as well as remove the amplitude ambiguity in wavelet estimation.

Citation Keytu2013EAGElsm