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Abstract

An automatic first arrival detection method using support vector machine classification is presented in this paper. Evaluation of a 2D seismic data set confirms that this multi-attribute classification method can identify first break half cycles with high accuracy. The calculated first break times are of high quality. Classification results can be used to assign a quality indicator to each of the detected first arrival times. Moreover, by thresholding the quality indicator one can quickly eliminate any mis-picks which have closer distance to created SVM.

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/content/papers/10.3997/2214-4609.20149304
2011-05-23
2021-09-27
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20149304
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