Non-linear Slope Tomography – Extension to MAZ and WAZ

An optimal velocity model building in depth requires combining various types of information. This can be expressed and solved efficiently as a non-linear optimization problem. Among the various non-linear tomography methods proposed for velocity model building in depth, non-linear slope tomography copes ideally with kinematic information obtained from a dense volumetric picking that yields a high-density resolution of the velocity model. We show how non-linear slope tomography has been extended to Multi-Azimuth and Wide-azimuth acquisitions resulting in improved velocity model resolution due to wave path redundancy and complementary information. We address both picking and velocity update aspects and, in particular, the kinematic migration and demigration processes.