New model for predicting kinematic viscosity of crude oil blends at Mellita industrial compound in Libya

Abstract EN

viscosity is considerable importance trait for evaluating transport properties in crude oils processing.

Information about viscosity plays a very important role to a solve engineering problems concern fluid flow phenomena and momentum transfer.

In the current study , Five different crude oils blends from a heavy crude oil (H) at Al-wafa oil field and a light crude oil (L) at Al-feal oil field were prepared as follows : Blend1 ( 15% H , 85% L ) ; Blend2 ( 25% H , 75% L ) ; Blend3 ( 40% H , 60% L ); Blend4 ( 55% H , 45% L ) and Blend5 ( 75% H , 25% L ) at different temperatures ( 30, 35, and 40 °C ) to obtain the experimental viscosity; to develop the reliable mathematical expression for the most important physical properties using non-linear regression and to analyze the predictive model results using standard statistical techniques.

The predicted kinematic viscosity results have been validated with the experimental viscosity data gathered in the laboratory.

Good results between the predicted and experimental values have been noticed with overall average absolute deviation (% AAD) of 2.50%.

From the predicted results in this study , it can be concluded that the performance of the developed model was excellent in this study