Optimization of Refining Strategy to Fractionate Various Iraqi Crude Oils into Lighter Fractions

Dr. Zaidoon M. Shakor; Salah M. Ali; Harith A.  Mohammed; Talal F. Hassan

doi:10.52716/jprs.v8i3.227

Optimization of Refining Strategy to Fractionate Various Iraqi Crude Oils into Lighter Fractions

Authors

Dr. Zaidoon M. Shakor Chemical Engineering Department\ University of Technology
Salah M. Ali petroleum research and development center
Harith A. Mohammed petroleum research and development center
Talal F. Hassan petroleum research and development center

DOI:

https://doi.org/10.52716/jprs.v8i3.227

Keywords:

crude oil, true boiling point, cut point, genetic algorithm, optimization

Abstract

The primary objective of this study is to predict optimum refining strategy to fractionate
various Iraqi crude oils into lighter fractions depending on market monthly demand along one
year.
The monthly consumption of gasoline, kerosene and diesel was calculated and genetic
algorithm optimization method was used to calculate optimum cut points and blending ratio of
three different crude oils (light Basrah, heavy Basrah and Kirkuk).
The results prove that manipulation cut points within a year for a blend of three crude oils will
decrease 12.8% of distilled crude oil to produce the required amount of light cuts produced by
refining single crude oil.

Downloads

Published

2018-09-02

How to Cite

(1)

Shakor, D. Z. M.; Ali, S. M.; Mohammed, H. A.; Hassan, T. F. Optimization of Refining Strategy to Fractionate Various Iraqi Crude Oils into Lighter Fractions. Journal of Petroleum Research and Studies 2018, 8, 15-24.