Modeling of gas viscosity at high pressure-high temperature conditions: Integrating radial basis function neural network with evolutionary algorithms-Reference-Cited by-同舟云学术

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Modeling of gas viscosity at high pressure-high temperature conditions: Integrating radial basis function neural network with evolutionary algorithms

Published:2022-01 Issue: Volume:208 Page:109328
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Rezaei Farzaneh,Jafari Saeed,Hemmati-Sarapardeh Abdolhossein^ORCID,Mohammadi Amir H.

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference50 articles.

1. Modeling viscosity of CO2 at high temperature and pressure conditions;Amar;J. Nat. Gas Sci. Eng.,2020

2. Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition;Atashpaz-Gargari,2007

3. Viscosity measurements and data correlation for two synthetic natural gas mixtures;Atilhan;J. Chem. Eng. Data,2010

4. Viscosities of the methane-propane system;Bicher;Ind. Eng. Chem.,1943

5. On viscosity correlations of natural gas;Chen,1993

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