Using the karhunen-loève transform to suppress ground roll in seismic data

ABSTRACTThe Sacchi's algorithm (2002) based on the Karhunen-Loève (K-L) Transform was modified and implemented to suppress Ground Roll without distortion of the reflection signals, it provided better results than conventional techniques for noise removal like f-k, High-Pass and Band Pass Filters. The K-L Transform is well known in other fields as image processing (Levy and Linderbaurn, 2000), face, iris and fingerprint identification. A seismic section is an image of subsurface where the K-L can be useful in seismic processing because spatially uncorrelated signals can be removed providing a clear and coherent image. The algorithm was applied to seismic data generated with hammer, thumper and explosive sources. Conventional processing flows were used, but one replaced filters with K-L Transform, providing stacked sections. The K-L Transform recovers better the reflector amplitudes when compared with others filters, also it removes refractions that cause unreal shallow events and increases the lateral coherence of seismic events showing a more interpretable geology.

• Autores: Gómez Londoño, Ernesto; Castillo López, Luís; Kazmierczak, Thaís de Souza
• Tipo de recurso: Article of journal
• Fecha de publicación: 2005
• Institución: Universidad Nacional de Colombia
• Repositorio: Universidad Nacional de Colombia
• Idioma: spa
• OAI Identifier: oai:repositorio.unal.edu.co:unal/34050
• Acceso en línea: https://repositorio.unal.edu.co/handle/unal/34050; http://bdigital.unal.edu.co/24130/
• Rights: openAccess
• License: Atribución-NoComercial 4.0 Internacional