화학공학소재연구정보센터
홈 로그인 로그아웃 연락처 사이트맵
Korean Chemical Engineering Research, Vol.55, No.5, 652-659, October, 2017
DOI10.9713/kcer.2017.55.5.652  Export Citation
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, and 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
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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.
Keywords:Mineral ions;Optimization;Genetic Algorithms;Extended UNIQUAC Model
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