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Intelligent Fast Calculation of Petrophysical Parameters of Clay-Bearing Shales Based on a Novel Dielectric Dispersion Model and Machine Learning.

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Title: Intelligent Fast Calculation of Petrophysical Parameters of Clay-Bearing Shales Based on a Novel Dielectric Dispersion Model and Machine Learning.
Authors: Gao, Jianshen1,2,3, jsgao@xsyu.edu.cn, Li, Jing2,3
Source: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10381, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188678764
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  Data: Intelligent Fast Calculation of Petrophysical Parameters of Clay-Bearing Shales Based on a Novel Dielectric Dispersion Model and Machine Learning.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188678764
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        Value: 10.3390/app151910381
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 10381
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      – TitleFull: Intelligent Fast Calculation of Petrophysical Parameters of Clay-Bearing Shales Based on a Novel Dielectric Dispersion Model and Machine Learning.
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            NameFull: Gao, Jianshen
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            NameFull: Li, Jing
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            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
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