A CL-SRME workflow for inversion of shallow-water data with missing near-offset traces Available to Purchase

We develop a workflow to invert for primaries from 2D freesurface shallow-water (⇠100m) data with missing near offsets. The workflow is based on closed-loop surface-related multiple elimination. We apply a nearest-neighbor search followed by differential normal moveout to interpolate missing traces in the input data. Interpolation errors result in artifacts in inverted primaries. We use local primary and multiple orthogonalization as a shaping regularization operator to reduce the artifacts associated with missing near offsets. We apply the workflow to a synthetic demonstrating its robustness. When applied to a field data example the workflow yields results similar to adaptive subtraction of a free-surface multiple model generated by a hybrid wave-field extrapolation and surface-related multiple elimination method. Continuity of deeper reflectors is improved. Crosscorrelation with a free-surface multiple model also supports the validity of the workflow.