1887

Abstract

In seismic data processing one of the challenges is to find a good mute for linear events like airwaves, ground rolls and direct arrivals prior to the stages like deconvloution. In this paper, the application of a fuzzy clustering algorithm based on statistical maximum likelihood estimator in finding the wanted signals in a synthetic shot gather is presented. The algorithm successfully found the signal parts out of unwanted linear and random noise. The added value of the method is in its adaptive accept/region area which can be defined for every shot gather independently.

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/content/papers/10.3997/2214-4609.20145956
2009-05-04
2022-11-30
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20145956
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