Machine learning-based prediction of CO2 fugacity coefficients: Application to estimation of CO2 solubility in aqueous brines as a function of pressure, temperature, and salinity

•Five different ML algorithms are used to predict CO2 fugacity coefficients.•P & T ranges considered in this study are ≤ 2000 bar and ≤ 1000 °C.•The fugacity coefficients predicted by XGBoost algorithm are the most accurate.•The predicted fugacity coefficients are used to estimate CO2 solubility...

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Veröffentlicht in:	International journal of greenhouse gas control 2023-09, Vol.128 (C), p.103971, Article 103971
Hauptverfasser:	Bhattacherjee, Rupom, Botchway, Kodjo, Pashin, Jack C., Chakraborty, Goutam, Bikkina, Prem
Format:	Artikel
Sprache:	eng
Schlagworte:	CO2 Energy & Fuels Engineering Fugacity Machine learning Science & Technology - Other Topics Sequestration Solubility
Online-Zugang:	Volltext
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