Applying spectral decomposition to seismic facies clustering with unsupervised machine learning

Seismic facies analysis, essential for subsurface geological exploration, has traditionally challenged the ability to capture subtle variations in complex stratigraphic environments. This study uses spectral decomposition and unsupervised machine learning, specifically the Kohonen Self-Organizing Ma...

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Bibliographic Details
Main Authors: Р. Маліков, Г. Бабаєв
Format: Article
Language:English
Published: Subbotin Institute of Geophysics of the National Academy of Sciences of Ukraine 2025-06-01
Series:Геофизический журнал
Subjects:
Online Access:https://journals.uran.ua/geofizicheskiy/article/view/320290
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