| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 206312 | Fuel | 2012 | 6 Pages |
Abstract
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.
► 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.
Keywords
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Arpit S. Maheshwari, Jitendra G. Chellani,