Gómez Londoño, Ernesto and Castillo López, Luís and Kazmierczak, Thaís de Souza (2005) Using the karhunen-loève transform to suppress ground roll in seismic data. Earth Sciences Research Journal; Vol. 9, núm. 2 (2005); 139-147 Earth Sciences Research Journal; Vol. 9, núm. 2 (2005); 139-147 2339-3459 1794-6190 .
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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.
Tipo de documento: | Artículo - Article | |
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Unidad administrativa: | Revistas electrónicas UN > Earth Sciences Research Journal | |
Código ID: | 24130 | |
Enviado por : | Dirección Nacional de Bibliotecas STECNICO | |
Enviado el día : | 27 Junio 2014 15:25 | |
Ultima modificación: | 31 Enero 2018 19:07 | |
Ultima modificación: | 31 Enero 2018 19:07 | |
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