Abstract
Imaging and interpreting seismic signatures in the Goru Formation of the Bandha region in the Jaisalmer Sub-basin is challenging due to its complex geological setting, which features significant lateral velocity variations, dipping flanks, steeply inclined reflectors, and overburden strata. This study introduces an innovative polar coordinate velocity-based Reverse Time Migration (RTM) technique with a novel algorithm for reconstructing images of intricate geological structures. A comparative analysis of phase shift migration, cartesian velocity-based RTM, and polar velocity-based RTM reveals that the polar method improves accuracy by utilizing the spherical propagation of seismic waves. The quality of seismic images is influenced by velocity variations, which are determined by the geological properties of the area, with minimal density changes at depth. By incorporating the anisotropic compressional velocity (\(\:v\)) of the Goru Formation, along with transformed circumferential velocity (\(\:{v}_{\theta\:}\)) and radial velocity (\(\:{v}_{r}\)) the study demonstrates significantly enhanced imaging capabilities. Specifically, for steep dips, the circumferential velocity-oriented RTM outperforms both cartesian and radial velocity-based RTM at far angles, while the radial velocity-based RTM shows better performance at near angles. Additionally, conventional cartesian velocity-based RTM provides superior imaging of horst-graben structures compared to phase shift migration.