Correlations for Pour Point and Cloud Point of middle and heavy distillates using density and distillation temperatures

► Unavailability of simple and easy correlations for Cloud and Pour Point. ► Linear and ANN based correlations for Cloud and Pour Point. ► Correlations can be used in simulation and LP studies. Linear and Artificial Neural Network (ANN) based correlations have been developed to determine the Pour Po...

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Bibliographic Details
Published in:	Fuel (Guildford) Vol. 98; pp. 55 - 60
Main Authors:	Maheshwari, Arpit S., Chellani, Jitendra G.
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01-08-2012 Elsevier
Subjects:	ANN Applied sciences Cloud Point Clouds Correlation Density Distillates Distillation Energy Energy. Thermal use of fuels Exact sciences and technology Fuels Learning theory Neural networks Pour Point Readers Cloud Point ANN Pour Point Distillation Distillate Cloud point Neural network Density Petroleum
Online Access:	Get full text
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Summary:	► Unavailability of simple and easy correlations for Cloud and Pour Point. ► Linear and ANN based correlations for Cloud and Pour Point. ► Correlations can be used in simulation and LP studies. Linear and Artificial Neural Network (ANN) based correlations have been developed to determine the Pour Point and Cloud Point of middle and heavy distillates. Proposed correlations are based on the most commonly measured properties in petroleum industry i.e. density and distillation temperatures. The linear correlations are presented as such. For neural networks, weights of the optimized network are presented such that the correlation can be easily implemented by the reader.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0016-2361 1873-7153
DOI:	10.1016/j.fuel.2012.02.034