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Coherent Noise Attenuation Using Inverse Theory and Prediction Error FiltersNormal access

Author: A. Guitton
Event name: 63rd EAGE Conference & Exhibition
Session: Data Processing
Publication date: 11 June 2001
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 294.14Kb )
Price: € 20

Summary:
P 159 COHERENT NOISE ATTENUATION USING INVERSE PROBLEMS AND PREDICTION ERROR FILTERS 1 SUMMARY ANTOINE GUITTON Department of Geophysics Stanford University Stanford CA 94305 USA Two iterative methods that remove coherent noise during the inversion of 2-D prestack data are tested. One method approximates the inverse covariance matrices with prediction error filters (PEFs) and the other introduces a coherent noise modeling operator in the objective function. This noise modelling operator is a PEF that has to be estimated either before the inversion from a noise model or directly from the data. These two methods lead to independent identically distributed (IID)


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