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Automatic First Break Detection Using Support Vector Machine Classification
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011, May 2011, cp-238-00360
- ISBN: 978-90-73834-12-5
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.