New empirical correlation for estimation of vaporization enthalpy of algerian saharan blend petroleum fractions

dc.contributor.author	Belghit, Chafik
dc.date.accessioned	2019-02-11T10:28:38Z
dc.date.available	2019-02-11T10:28:38Z
dc.date.issued	2018-05-07
dc.identifier.issn	1091-6466
dc.identifier.uri	http://dspace.univ-guelma.dz:8080/xmlui/handle/123456789/1811
dc.description.abstract	A Real-coded Genetic Algorithm has been used to develop a new correlation to estimate the enthalpy of vaporization for pure compounds and petroleum fractions as a function of the normal boiling point and specific gravity. In developing the correlation 80% of the data was used and the remaining are used for validation. The results of the proposed correlations are compared to others in literature. The comparison indicates that the proposed model is simple to use and more accurate than the most common correlations for predicting the enthalpy of vaporization of pure compounds and petroleum fractions.	en_US
dc.language.iso	en	en_US
dc.publisher	Petroleum Science and Technology	en_US
dc.subject	characterization correlation; enthalpy of vaporization; genetic algorithm; petroleum fraction; pure compounds	en_US
dc.title	New empirical correlation for estimation of vaporization enthalpy of algerian saharan blend petroleum fractions	en_US
dc.type	Article	en_US