Abstract
This case study aims to determine the effect of five-dimensional regularization and interpolation on seismic subsurface imaging, particularly focusing on impacts to noise attenuation, velocity analysis, and migration. Advanced seismic processing requires high fold coverage and regular cross-spread data to attain good noise attenuation and common offset vectors for appropriate migration. Complex geological scenarios pose substantial challenges for subsurface imagers and interpreters. Stratton Field, USA, contains a major fault, Agua Dulce, along with many smaller faults and thus requires dense acquisition for high-resolution subsurface imaging to reduce migration smiles. Data were processed twice, the first migration without 5D regularization and interpolation and the second with 5D regularization and interpolation. The migration without 5D regularization and interpolation was found to suffer from acquisition footprints, migration smiles and a lack of amplitude versus offset (AVO) behavior, whereas the subsurface image was enhanced with 5D regularization and interpolation and improved in terms of AVO behavior. (C) 2020 The Author(s). Published by Elsevier B.V. on behalf of King Saud University.