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Yingxiao Fu

As seen in: MDPI, ACS Publications
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Articles

Permeability Prediction of Strong Heterogeneous Carbonates by Interpretable Machine Learning Approach Using Pore Structure Parameters Extracted from Thin Sections Click to copy article link Article link copied!

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By Yingxiao Fu, Hangyu Liu, Bo Liu
| ACS Publications
Cite Jump to ExpandCollapse Traditional Fossil FuelsJuly 1, 2026 Permeability Prediction of Strong Heterogeneous Carbonates by Interpretable Machine Learning Approach Using Pore Structure Parameters Extracted from Thin Sections Click to copy article linkArticle link copied! Yingxiao Fu* Yingxiao Fu School of Earth & Space Sciences, Peking University, Beijing 100871, China Institute of Oil & Gas, Peking University, Beijing 100871, China *Email: [email protected] Hangyu Liu* Hangyu Liu School...
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Sedimentary Environment Reconstruction and Organic Matter Enrichment Mechanisms in Various Lithofacies of the Lacustrine Shale: A Case Study of the Da’anzhai Member, Central Sichuan Basin, China

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By Yuting Peng, Yingxiao Fu, Senran Chen, Enze Wang
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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A Novel, Efficient Method to Isolate Chicken Primordial Germ Cells from Embryonic Blood Using Cell Culture Inserts

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By Xia Zhang, Rui Xian, Yanyan Dai, Yingxiao Fu
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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