Abstract

In shallow marine environments, the seismic section is frequently affected by a combination of ghost reflections, multiples of various types and orders, and diverse noise elements. Ghosts introduce phase distortions and cause large secondary lobes, which suppress the primary reflection energy and obscure true geological events. Persistent reverberations from the water bottom and other multiple paths tend to mask underlying reflectors, that complicate structural interpretation. This study presents the implementation of a seismic broadband processing workflow for a legacy dataset. The data was acquired using conventional acquisition parameters from the Ratnagiri field, located on western coast of India. The study focuses mainly on enhancing bandwidth and improving data quality. The methodology incorporates, a combination of adaptive deghosting and multiple suppression techniques like Surface-Related Multiple Attenuation (SRMA), Wave Equation Multiple Attenuation (WEMA), and residual demultiple based on horizon-guided approach. Each technique was selected for its ability to target a specific class of multiples. The integrated approach enhanced signal fidelity, broadened seismic bandwidth, delivered better signal continuity; significantly enhancing the final image quality. The methodology is applicable for reprocessing efforts in regions where vintage data limitations—such as ghost effects, low-frequency loss, spectral notches, and strong multiples impede accurate geological interpretation.