Quantitative Inversion of Mean Grain Size from Conventional Well Logs Using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Principal Component Analysis (PCA).

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Title: Quantitative Inversion of Mean Grain Size from Conventional Well Logs Using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Principal Component Analysis (PCA).
Authors: Zhang, Weifeng1, Ma, Yong1,2, Zhang, Xiaoming1,3, Li, Yonghua1, Zhao, Bin2,3, Shen, Bo2,3, Wang, Chao2,3, Niu, Zhuangzhuang2,3, 2024720501@yangtzeu.edu.cn
Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 10, p4699, 19p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 194142093
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  Data: Quantitative Inversion of Mean Grain Size from Conventional Well Logs Using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Principal Component Analysis (PCA).
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        Value: 10.3390/app16104699
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 4699
    Titles:
      – TitleFull: Quantitative Inversion of Mean Grain Size from Conventional Well Logs Using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Principal Component Analysis (PCA).
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            NameFull: Zhang, Weifeng
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            NameFull: Ma, Yong
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              Text: May2026
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              Y: 2026
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