Data-driven internal multiple attenuation - Applications and issues on land data

Summary Surface-related and internal multiple elimination schemes, firmly rooted to the acoustic wave equation, have been successfully applied to marine datasets. In land however, the applicability of this type of technology is rather limited. Using the CFP-based, layer-related internal multiple removal algorithm, we propose two data-driven, practical strategies aiming for the estimation and subsequent attenuation of internal multiples on land data. Specific issues and assumptions related to this type of technology with emphasis on land data applications are also considered. The effectiveness of the proposed methodologies is demonstrated with a number of field datasets from the Arabian Peninsula.