Prediction of Pure Mineral-H2-Brine Wettability Using Data-Driven Machine Learning Modeling: Implications for H2 Geo-Storage

Research article (International Petroleum Technology Conference, 2024) · cited 22× · AI/ML
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Prediction of Pure Mineral-H2-Brine Wettability Using Data-Driven Machine Learning Modeling: Implications for H2 Geo-Storage

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Prediction of Pure Mineral-H2-Brine Wettability Using Data-Driven Machine Learning Modeling: Implications for H2 Geo-Storage is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Prediction of Pure Mineral-H2-Brine Wettability Using Data-Driven Machine Learning Modeling: Implications for H2 Geo-Storage. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-pure-mineral-h2-brine-wettability-using-data-driven-machine-learning-modeling-implications-for-h2-geo-stor
MLA “Prediction of Pure Mineral-H2-Brine Wettability Using Data-Driven Machine Learning Modeling: Implications for H2 Geo-Storage.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-pure-mineral-h2-brine-wettability-using-data-driven-machine-learning-modeling-implications-for-h2-geo-stor.
BibTeX @misc{4ortxyz_prediction-of-pure-mineral-h2-brine-wettability-using-data-driven-machine-learning-modeling-implications-for-h2-geo-stor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of Pure Mineral-H2-Brine Wettability Using Data-Driven Machine Learning Modeling: Implications for H2 Geo-Storage}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-pure-mineral-h2-brine-wettability-using-data-driven-machine-learning-modeling-implications-for-h2-geo-stor}, note = {Accessed: 2026-05-24}}
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