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Implicit noise reduction and trace interpolation in wavefield depth extrapolation
Author(s) -
Chen HowWei,
Chang CheWei
Publication year - 1999
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/1999gl005421
Subject(s) - extrapolation , prestack , interpolation (computer graphics) , noise (video) , noise reduction , trace (psycholinguistics) , data processing , reduction (mathematics) , algorithm , computer science , geology , data reduction , set (abstract data type) , seismology , mathematics , artificial intelligence , data mining , statistics , geometry , motion (physics) , linguistics , philosophy , image (mathematics) , programming language , operating system
Various types of noise can obscure reflections and refractions on deep crustal seismic data. This study presents a simple but elegant approach to true wavefield processing where noise reduction and trace interpolations are applied implicitly during depth extrapolation. No velocity and source/receiver information is required and the proposed approach can be combined with conventional or available processing algorithms. Prestack processing is successfully applied to a complicated OBS data set, demonstrating an improvement in noise reduction and effective trace interpolation.