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