Adaptive multiple subtraction with non-stationary helical shaping filters

James Rickett, Antoine Guitton, and Douglas Gratwick

james@sep.stanford.edu, antoine@sep.stanford.edu, doug@sep.stanford.edu

ABSTRACT

We suppress surface-related multiples with a smart adaptive least-squares subtraction scheme in the time-space domain after modeling multiples with a fast but approximate modeling algorithm. The subtraction scheme is based on using a linear solver to estimate a damped non-stationary shaping filter. We improve convergence by preconditioning with a space-domain helical roughening filter.