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This case study illustrates the successful application of an internal multiple attenuation workflow applied to a large Ocean Bottom Nodes (OBN) dataset in the Santos Basin, offshore Brazil. The main goals are to improve the imaging response and reduce interpretation ambiguity (originated by overburden generated internal multiple reverberations) of pre-salt reservoir targets located beneath thick layered evaporite sequences. The proposed workflow relies on existing data-driven and wave-equation based on Jakubowicz and Marchenko prediction methodologies, emphasizing the full definition of boundaries and true azimuth contribution from the OBN dataset to generate an accurate and cost-effective multiple model prior a multi-dimensional adaptive matching in the image domain. Additionally, we also present a deterministic dip discrimination approach designed to capture and suppress remnant internal multiples, providing a comprehensive and effective multiple attenuation process in the region.