Iterative Gaussian mixture model and multi‐channel attributes for arrival picking in extremely noisy environments

ABSTRACT Arrival picking is a traditional and important topic in the field of seismic exploration. Depending on the quality of seismic data, the picking results are prone to large errors. As commonly used arrival‐picking strategies, conventional clustering methods, such as K‐means, suffer from insuf...

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Veröffentlicht in:	Geophysical Prospecting Jg. 70; H. 2; S. 343 - 361
Hauptverfasser:	Wang, Hang, Chen, Yangkang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Houten Wiley Subscription Services, Inc 01.02.2022
Schlagworte:	Boundaries Clustering Computation Data processing Iterative methods Noise Picking Principal components analysis Probabilistic models Seismic data Seismic exploration Signal processing Vectors Waveforms
ISSN:	0016-8025, 1365-2478
Online-Zugang:	Volltext
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