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M. Ranjbar

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Sep 2026

Machine Learning and Deep Learning Framework for Accurate Prediction of CH4 Solubility in Brine Systems Using Physicochemical Descriptors

A data-driven framework using temperature, pressure, ionic strength (IS), effective free water fraction (EFW), and ion-specific descriptor (ISD), to capture realistic gas–brine interactions is proposed and provides an accurate, fast, and interpretable tool for CH4 solubility prediction in brine systems.

A. Sheikhshoaei, Abdolhossein Hemmati-Sarapardeh, M. Ranjbar et al. · 0 citations

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