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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Bibliographic Details

Published in:	Fuel (Guildford) Vol. 384; p. 134000
Main Authors:	Kouhi, Maryam Mahmoudi, Kahzadvand, Kamiab, Shahin, Matin, Shafiei, Ali
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.03.2025
Subjects:	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 Access:	Get full text
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