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Received January 13, 2017
Accepted June 7, 2017
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Optimization of Extended UNIQUAC Parameter for Activity Coefficients of Ions of an Electrolyte System using Genetic Algorithms
Seyed Hossein Hashemi†
Seyed Ali Mousavi Dehghani1
Abdolhamid Khodadadi2
Mahmood Dinmohammad1
Seyed Mohsen Hosseini3
Seyed Abdolrasoul Hashemi4
Graduate Msc Chemical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran 1Institute of production and recovery, RIPI, NIOC, Iran 2Graduated Bsc Chemical Engineering, Persian Gulf University, Bushehr, Iran 3Graduate Msc Chemical Engineering, Sahand University,tabriz, Iran 4Graduate Msc computer Engineering, Software trends, Yasooj Islamic Azad University, UK
hosseinhashmei@gmail.com
Korean Chemical Engineering Research, October 2017, 55(5), 652-659(8), 10.9713/kcer.2017.55.5.652 Epub 19 October 2017
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Abstract
In the present research, in order to predict activity coefficient of inorganic ions in electrolyte solution of a petroleum system, we studied 13 components in the electrolyte solution, including H2O, CO2 (aq), H+, Na+, Ba2+, Ca2+, Sr2+, Mg2+, SO4, CO3, OH-, Cl-, and HCO3. To predict the activity coefficient of the components of the petroleum system (a solid/liquid equilibrium system), activity coefficient model of Extended UNIQUAC was studied, along with its adjustable parameters optimized based on a genetic algorithm. The total calculated error associated with optimizing the adjustable parameters of Extended UNIQUAC model considering the 13 components under study at three temperature levels (298.15, 323.15, and 373.15 K) using the genetic algorithm is found to be 0.07.
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Vetter O, Vandenbroeck I, Nayberg J, Society of Petroleum Engineers, 271-281(1983).
