Abstract

Accurate velocity model building remains a critical challenge in seismic depth imaging, particularly in geologically complex regions such as fold belts and thrust zones. Passive Seismic Tomography (PST) has emerged as a viable technique for generating velocity models in such areas. It offers a cost-effective and environmentally friendly approach to subsurface characterization, making it particularly suitable for exploration in difficult terrains. Although numerous PST surveys have been conducted globally, there is limited published research on incorporating PST-derived velocity models into seismic data processing workflows, particularly for 3D seismic datasets. This paper presents an innovative methodology for applying PST-derived velocity models in the PreStack Depth Migration (PSDM) of a 3D seismic dataset acquired from a structurally complex region. The dataset was processed using two approaches: one utilizing a conventional velocity model based on RMS velocities, and the other employing a PST-derived model. A comparative analysis of the depth-migrated results demonstrates the effectiveness of the proposed methodology in enhancing subsurface imaging and validates the utility of PST velocities in improving seismic processing outcomes.