Reservoir porosity assessment and anomaly identification from seismic attributes using Gaussian process machine learning

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Reservoir porosity assessment and anomaly identification from seismic attributes using Gaussian process machine learning ; volume:17 ; number:2 ; day:8 ; month:2 ; year:2024 ; pages:1315-1327 ; date:4.2024
Earth science informatics ; 17, Heft 2 (8.2.2024), 1315-1327, 4.2024

Creator: Rahma Putra, Maulana Hutama
Hermana, Maman
Yogi, Ida Bagus Suananda
Hossain, Touhid Mohammad
Abdurrachman, Muhammad Faris
Kadir, Said Jadid A.

Contributor: SpringerLink (Online service)

DOI: 10.1007/s12145-024-01240-7

URN: urn:nbn:de:101:1-2405172110053.508589441913

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:00 AM CEST

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Rahma Putra, Maulana Hutama
Hermana, Maman
Yogi, Ida Bagus Suananda
Hossain, Touhid Mohammad
Abdurrachman, Muhammad Faris
Kadir, Said Jadid A.
SpringerLink (Online service)

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Reservoir porosity assessment and anomaly identification from seismic attributes using Gaussian process machine learning

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Other Objects (12)

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