Applications of single-iteration Kirchhoff least-squares migration

Least-squares depth migration approximates the inverse of the forward modeling. We show two real data applications of a single iteration (non-iterative) Kirchhoff least-squares depth migration process, generically referred to as migration deconvolution, to highlight the benefits of this process. Our first example demonstrates improved amplitude behavior of least-squares migration deconvolution images in an offshore Gabon data set. In the second example we propose an efficient way to include attenuation in the least-squares migration process and, using a Central North Sea data set, highlight a stable uplift in both resolution and illumination of the final image.