What is it about?

Using viscoacoustic deblurring filters as preconditioner on Q-LSRTM to increase the convergence and improve image quality on both resolution and amplitude balance

Featured Image

Why is it important?

The adjoint operator of Q-LSRTM is attenuative. Therefore, quite an amount of iteration numbers are required to get a nice image. With the viscoacoustic deblurring filter, only with few iterations can get an image with high resolution and amplitude balanced image.

Perspectives

This preconditioner is nice because it uses a cheap way to nicely approximated the Hessian inverse. This preconditioner is quite useful for Q-LSRTM progress because the Q-LSRTM converge slow. The preconditioned image can reach the same level of image quality compared to acoustic LSRTM on acoustic data.

yuqing chen
King Abudullah University of Science and Technology

Read the Original

This page is a summary of: Q-least-squares reverse time migration with viscoacoustic deblurring filters, Geophysics, November 2017, Society of Exploration Geophysicists,
DOI: 10.1190/geo2016-0585.1.
You can read the full text:

Read

Contributors

The following have contributed to this page