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A Graph Convolutional Network Approach to Qualitative Classification of Hydrocarbon Zones Using Petrophysical Properties in Well Logs.

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Title: A Graph Convolutional Network Approach to Qualitative Classification of Hydrocarbon Zones Using Petrophysical Properties in Well Logs.
Authors: Venkateshwaran, B.1,2 (AUTHOR) venkateshwa_22011656@utp.edu.my, Ramkumar, Mu.3 (AUTHOR), Siddiqui, Numair Ahmed1 (AUTHOR), Haque, AKM Eahsanul1 (AUTHOR), Sugavanam, G.3 (AUTHOR), Manobalaji, A.4 (AUTHOR)
Source: Natural Resources Research. Apr2024, Vol. 33 Issue 2, p637-664. 28p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 176032770
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A Graph Convolutional Network Approach to Qualitative Classification of Hydrocarbon Zones Using Petrophysical Properties in Well Logs.
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        Value: 10.1007/s11053-024-10311-x
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      – Code: eng
        Text: English
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      – TitleFull: A Graph Convolutional Network Approach to Qualitative Classification of Hydrocarbon Zones Using Petrophysical Properties in Well Logs.
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              Text: Apr2024
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              Y: 2024
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