Modeling interfacial tension of surfactant–hydrocarbon systems using robust tree-based machine learning algorithms
2023 · Scientific Reports · 24 citations
https://doi.org/10.1038/s41598-023-37933-0
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Behnam Amiri-Ramsheh
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24
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310
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12
h-index
13
i10-index
Behnam Amiri-Ramsheh is an academic researcher from Shahid Bahonar University of Kerman. The author has contributed to research in topics: Enhanced Oil Recovery Techniques & Petroleum Processing and Analysis & Hydrocarbon exploration and reservoir analysis. The author has an h-index of 12, co-authored 21 publications.
ORCID: 0009-0004-4686-2711Papers by this author
worksOn the evaluation of the carbon dioxide solubility in polymers using gene expression programming
2023 · Scientific Reports · 13 citations
https://doi.org/10.1038/s41598-023-39343-8
Predicting asphaltene precipitation during natural depletion of oil reservoirs by integrating SARA fractions with advanced intelligent models
2025 · Scientific Reports · 4 citations
https://doi.org/10.1038/s41598-025-11966-z
Leveraging advanced ensemble learning techniques for methane uptake prediction in metal organic frameworks
2025 · Scientific Reports · 1 citations
https://doi.org/10.1038/s41598-025-17028-8
Modeling interfacial tension between n-alkanes and aqueous systems containing surfactants and nanoparticles
2026 · Unconventional Resources · 0 citations
https://doi.org/10.1016/j.uncres.2026.100332
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