Sparse least-squares seismic imaging with source estimation utilizing multiples

TitleSparse least-squares seismic imaging with source estimation utilizing multiples
Publication TypeConference
Year of Publication2015
AuthorsNing Tu, Felix J. Herrmann
Conference NamePIMS Workshop on Advances in Seismic Imaging and Inversion
Month05
Keywordsinversion, least-squares migration, multiples, PIMS, seismic imaging, source estimation, workshop
Abstract

We present an least-squares seismic imaging method that (1) is efficient by subsampling the monochromatic source experiments; (2) does not require the prior knowledge of the source wavelet, by inverting for the seismic image and the source wavelet simultaneously using variable projection; and (3) makes active use of surface-related multiples to increase the illumination and to resolve the scaling ambiguity in source estimation, by tightly integrating the well-established surface-related-multiple-prediction into the wave-equation based modelling. As a result, we are able to obtain ambiguity-resolved, high-fidelity least-squares inverted seismic images with computational costs that are comparable to conventional reverse-time migrations with all the data. We demonstrate the efficacy of the proposed method using synthetic examples.

Notes

(PIMS Workshop on Advances in Seismic Imaging and Inversion, University of Alberta, Edmonton)

Presentation

https://www.slim.eos.ubc.ca/Publications/Public/Conferences/PIMS/2015/tu...

Citation Keytu2015PIMSsls