Sparse least-squares seismic imaging with source estimation utilizing multiples
| Title | Sparse least-squares seismic imaging with source estimation utilizing multiples |
| Publication Type | Conference |
| Year of Publication | 2015 |
| Authors | Ning Tu, Felix J. Herrmann |
| Conference Name | PIMS Workshop on Advances in Seismic Imaging and Inversion |
| Month | 05 |
| Keywords | inversion, 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 | |
| Citation Key | tu2015PIMSsls |