First Break Traveltime Picking Using Unsupervised Machine Learning and Super‐Virtual Refraction Interferometry

First Break Traveltime Picking Using Unsupervised Machine Learning and Super‐Virtual Refraction Interferometry

Abstract An accurate and trustworthy first break picking plays a key role in static correction calculations, velocity analysis, and deconvolution. First break traveltimes picking accuracy ensures correct and reliable seismic data processing results. Many methods are available to perform the first br...

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Bibliographic Details
Main Authors: Muhammad Awais, Sherif M. Hanafy, Saifullah Shafiq, Abdullatif Al‐Shuhail, Umair Bin Waheed
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-12-01
Series:Earth and Space Science
Subjects:
seismic
first breaks
tomography
DBSCAN
Online Access:https://doi.org/10.1029/2023EA003014

Internet

https://doi.org/10.1029/2023EA003014

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