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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Bibliografische gegevens
Hoofdauteurs: Muhammad Awais, Sherif M. Hanafy, Saifullah Shafiq, Abdullatif Al‐Shuhail, Umair Bin Waheed
Formaat: Artikel
Taal:English
Gepubliceerd in: American Geophysical Union (AGU) 2023-12-01
Reeks:Earth and Space Science
Onderwerpen:
seismic
first breaks
tomography
DBSCAN
Online toegang:https://doi.org/10.1029/2023EA003014

Internet

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

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