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

• Published in: Geophysical Prospecting Vol. 70; no. 2; pp. 343 - 361
• Main Authors: Wang, Hang, Chen, Yangkang
• Format: Journal Article
• Language: English
• Published: Houten Wiley Subscription Services, Inc 01.02.2022
• Subjects: Boundaries; Clustering; Computation; Data processing; Iterative methods; Noise; Picking; Principal components analysis; Probabilistic models; Seismic data; Seismic exploration; Signal processing; Vectors; Waveforms

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...