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Multiple suppression in the velocity domain

Carlos A. Cunha Filho and Jon F. Claerbout

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ABSTRACT

Multiple suppression in the velocity domain is often accomplished by a filtering process that removes the events inside a selected window in that domain. Alternately, the suppression goal can be formulated as an optimization problem in which we try to find a model that, when added to the data, minimizes the power of the output in some region of the velocity domain. Defining this region is of fundamental importance for the success of the method, that is, for attaining maximum suppression of multiples with minimum interference with the primaries. The predictive character of reverberation events in the velocity domain can be efficiently used to automatically design these multiple-related windows. Tests with synthetic data show the efficacy and robustness of the method, which is able to preserve primary events with stacking velocities inside the multiple velocity range.



 
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Stanford Exploration Project
12/18/1997