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Coherent Noise Attenuation Using Inverse Theory and Prediction Error Filters
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 63rd EAGE Conference & Exhibition, Jun 2001, cp-15-00122
Abstract
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)