Efficient tau‐p hyperbolic velocity filtering

Abstract

Time and offset varying velocity filtering can be achieved by limiting the data input to forward tau‐p transforms. This limiting procedure, called hyperbolic velocity filtering (HVF), suppresses transform‐related artifacts as well as coherent and noncoherent noise while retaining elliptical (reflection) events. We show that HVF can be viewed as a muting process in the slant‐stack domain. Based on this simple but physical interpretation of HVF, a more efficient computer implementation is proposed. We further examine possible applications of HVF for processing seismic reflection data and illustrate the results using both synthetic and real data examples.