Applying spectral decomposition to seismic facies clustering with unsupervised machine learning

• Datum: 2025
• Ключові слова: keywords
• Hauptverfasser: Malikov, Ruslan, Babayev, Gulam
• Format: Artikel
• Sprache: Englisch
• Veröffentlicht: S. Subbotin Institute of Geophysics of the NAS of Ukraine 2025
• Schlagworte: seismic facies; spectral decomposition; self-organizing map; continuous wavelet transform; unsupervised learning; machine learning
• Online Zugang: https://journals.uran.ua/geofizicheskiy/article/view/320290
• Назва журналу: Geofizicheskiy Zhurnal

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...