Classification of Well Log Data Using Vanishing Component Analysis

This study reports the application of the novel supervised learning approach called vanishing component analysis (VCA) for the classification of lithologies from well log signal data. Geophysical well log data is always non-linear due to anisotropy and heterogeneity of the earth. The main purpose of...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Pure and applied geophysics 2020-06, Vol.177 (6), p.2719-2737
Hauptverfasser:	Hayat, Umar, Ali, Aamir, Murtaza, Ghulam, Ullah, Matee, Ullah, Ikram, Nolla de Celis, Álvaro, Rajpoot, Nasir
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Anisotropy Classification Data analysis Discriminant analysis Earth and Environmental Science Earth Sciences Geophysical data Geophysics Geophysics/Geodesy Heterogeneity Methods Neural networks Stability Support vector machines
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!