Elastic least-squares reverse time migration

Zongcai Feng, Gerard Schuster
2016 SEG Technical Program Expanded Abstracts 2016   unpublished
We use elastic least-squares reverse time migration (LSRTM) to invert for the reflectivity images of P-and S-wave impedances. Elastic LSRTM solves the linearized elastic-wave equations for forward modeling and the adjoint equations for backpropagating the residual wavefield at each iteration. Numerical tests on synthetic data and field data reveal the advantages of elastic LSRTM over elastic reverse time migration (RTM) and acoustic LSRTM. For our examples, the elastic LSRTM images have better
more » ... esolution and amplitude balancing, fewer artifacts, and less crosstalk compared with the elastic RTM images. The images are also better focused and have better reflector continuity for steeply dipping events compared to the acoustic LSRTM images. Similar to conventional leastsquares migration, elastic LSRTM also requires an accurate estimation of the P-and S-wave migration velocity models. However, the problem remains that, when there are moderate errors in the velocity model and strong multiples, LSRTM will produce migration noise stronger than that seen in the RTM images.
doi:10.1190/segam2016-13863861.1 fatcat:ygbmk64swneulhvnaspsfegpha