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primary topic: Comparative analysis of traditional machine learning and deep learning for seismic facies classification using F3 data from the Dutch North Sea

Comparative analysis of traditional machine learning and deep learning for seismic facies classification using F3 data from the Dutch North Sea
type: AcademicArticle
type: Article
date: 2026
volume: 250
is part of: Journal of Applied Geophysics
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

Elsevier B.V.
type: Organization

Journal of Applied Geophysics
type: Collection
issn: 09269851

Ismailalwali Babikir
type: Person
given name: Ismailalwali
family name: Babikir

Fahd Saeed Alakbari
type: Person
given name: Fahd Saeed
family name: Alakbari

N.N. Anis Amalina N.M. Hassan
type: Person
given name: N.N. Anis Amalina N.M.
family name: Hassan

Abdul Halim Abdul Latiff
type: Person
given name: Abdul Halim Abdul
family name: Latiff

HTML Summary of #20643 Comparative analysis of traditional machine learning and deep learning for seismic facies classification using F3 data from the Dutch North Sea
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primary topic: Comparative analysis of traditional machine learning and deep learning for seismic facies classification using F3 data from the Dutch North Sea