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). |
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| 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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| ISSN: | 20763417 |
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| DOI: | 10.3390/app16104699 |
