Toward a predictive model for predicting viscosity of natural and hydrocarbon gases-Reference-Cited by-同舟云学术

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Toward a predictive model for predicting viscosity of natural and hydrocarbon gases

Published:2014-09 Issue: Volume:20 Page:147-154
ISSN:1875-5100
Container-title:Journal of Natural Gas Science and Engineering
language:en
Short-container-title:Journal of Natural Gas Science and Engineering

Author:

Yousefi Seyed Hamidreza,Azamifard Arash,Hosseini Seyed-Ali,Shamsoddini Mohammad-Javad,Alizadeh Nasser

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference48 articles.

1. Artificial neural networks modeling for hydrocarbon gas viscosity and density estimation;AlQuraishi;J. King Saud Univ.-Eng. Sci.,2011

2. Application of constrained multi-variable search methods for prediction of PVT properties of crude oil systems;Arabloo;Fluid Phase Equilib.,2014

3. Viscosity of natural-gas mixtures: measurements and prediction;Assael;Int. J. Thermophys.,2001

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

5. Reliability optimization of communication networks using simulated annealing;Atiqullah;Microelectron. Reliab.,1993

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