A further study in the prediction of viscosity for Iranian crude oil reservoirs by utilizing a robust radial basis function (RBF) neural network model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08256-y.pdf
Reference42 articles.
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4. Arabloo M, Amooie MA, Hemmati-Sarapardeh A, Ghazanfari MH, Mohammadi AH (2014) Application of constrained multi-variable search methods for prediction of PVT properties of crude oil systems. Fluid Phase Equilib 363:121–130
5. Hajirezaie S, Pajouhandeh A, Hemmati-Sarapardeh A, Pournik M, Dabir B (2017) Development of a robust model for prediction of under-saturated reservoir oil viscosity. J Mol Liq 229:89–97
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