New connectionist tools for prediction of CO2 diffusion coefficient in brine at high pressure and temperature ─ implications for CO2 sequestration in deep saline aquifers

[Display omitted] •New models were proposed for CO2 diffusion coefficient prediction in brine at HPHT.•191 experimental and molecular dynamic data were used for modeling and validation.•The models were developed using MLP-ANN, CFNN, RNN, and GEP algorithms.•The GEP correlation is the first correlati...

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Veröffentlicht in:	Fuel (Guildford) Jg. 384; S. 134000
Hauptverfasser:	Kouhi, Maryam Mahmoudi, Kahzadvand, Kamiab, Shahin, Matin, Shafiei, Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.03.2025
Schlagworte:	CO2 diffusion coefficient prediction CO2 geo-sequestration Deep saline aquifers Machine learning Multilayer perceptron Multilayer perceptron CO2 geo-sequestration Deep saline aquifers CO2 diffusion coefficient prediction Machine learning
ISSN:	0016-2361
Online-Zugang:	Volltext
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