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Use of Neural Networks for Prediction of Vapor/Liquid Equilibrium K-Values for Light-Hydrocarbon Mixtures

โœ Scribed by Habiballah, W.A.; Startzman, R.A.; Barrufet, M.A.

Book ID
118213139
Publisher
Society of Petroleum Engineers
Year
1996
Tongue
English
Weight
323 KB
Volume
11
Category
Article
ISSN
0885-9248

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Predicting NRTL parameters for binary hy
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โœ M.J. Huron; J. Vidal; L. Asselineau ๐Ÿ“‚ Article ๐Ÿ“… 1976 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 962 KB

Ah&w&The parameters of the NRTL method are fitted, for binary hydrocarbon systems, on the activity coefficients calculated by the Flory-Hildebrand method with binary coefficients ii, of deviation from the geometric mean assumption for cohesive energy densities (NRTL-FH parameters). For aromatic satu