Determining Stage Efficiency from Operating Conditions for the Liquid-Liquid Extraction Column Model Dedicated to Heavy Neutral Distillate – Aromatic Extraction Process of a Group-I Lube Base Oil Plant

Determining Stage Efficiency from Operating Conditions for the Liquid-Liquid Extraction Column Model Dedicated to Heavy Neutral Distillate – Aromatic Extraction Process of a Group-I Lube Base Oil Plant

In a lube base oil production, the feed heavy neutral distillate is originated from fractionation of various crude oil blends. Because the changing feed properties affect both yield and quality of raffinate, the plant operating conditions need to be tuned accordingly. In this study, a predictive model for an existing industrial-scale extraction process dedicated to group-I production is constructed to determine the right operating parameters in advance, which minimizes off-spec production due to faster adaption of operation to a new feedstock. It is developed via use of the phase equilibrium data published for heavy neutral distillate + Furfural system, laboratory measurements of physical properties and composition of distillate as well as the existing plant data. The accuracy of the corresponding process model is increased via determining stage efficiency from an empirical equation based on only selected operating conditions, namely solvent temperature and solvent-to-distillate ratio.

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  • 1. Espada JJ, Coto B, Romero R van, Moreno JM. Simulation of pilot-plant extraction experiments to reduce the aromatic content from lubricating oils. Chemical Engineering and Processing. 2008;(47):1398–403.
  • 2. Coto B, Grieken R van, Pena JL, Espada JJ. A model to predict physical properties for light lubricating oils and its application to the extraction process by furfural. Chemical Engineering Science. 2006;(61):4381–92.
  • 3. Coto B, Grieken R van, Pena JL, Espada JJ. A generalized model to predict the liquid-liquid equilibrium in the systems furfural + lubricating oils. Chemical Engineering Science. 2006;(61):8028–39.
  • 4. Grieken R van, Coto B, Romero E, Espada JJ. Prediction of Liquid-Liquid Equilibrium in the System Furfural + Heavy Neutral Distillate Lubricating Oil. 2005;(44):8106–12.
  • 5. Grieken R van, Coto B, Pena JL, Espada JJ. Application of a generalized model to the estimation of physical properties and description of the aromatic extraction from a highly paraffinic lubricating oil. Chemical Engineering Science. 2008;(63):711–20.
  • 6. Espada JJ, Coto B, Pena JL. Liquid-liquid equilibrium in the systems furfural + light lubricating oils using UNIFAC. Fluid Phase Equilibria. 2007;(259):201–9.
  • 7. Pashikanti K, Liu YA. Predictive Modeling of Large-Scale Integrated Refinery Reaction and Fractionation Systems from Plant Data. Part 3: Continuous Catalyst Regeneration (CCR) Reforming Process. Energy Fuel. 2011;(25):5320–44.
  • 8. Albahri TA. Molecularly Explicit Characterization Model (MECM) for Light Petroleum Fractions. Ind Eng Chem Res. 2005;(44):9286–98.
  • 9. Ferreira MC, Meirelles AJA, Batista EAC. Study of the Fusel Oil Distillation Process. Ind Eng Chem Res. 2013;(52):2336–51.
  • 10. Yang C, Yang S, Qian Y, Guo J, Chen Y. Simulation and Operation Cost Estimate for Phenol Extraction and Solvent Recovery Process of Coal-Gasification Wastewater. Ind Eng Chem Res. 2013;(52):12108–15.
  • 11. Muhammad A, GadelHak Y. Correlating the additional amine sweetening cost to acid gases load in natural gas using Aspen Hysys. J of Natural Gas Sci and Eng. 2014;(17):119–30.
  • 12. Maldonado EQ, Meindersma GW, Haan AB. Ionic liquid effects on mass transfer efficiency in extractive distillation of water-ethanol mixtures. Computers and Chemical Engineering. 2014;(71):210–9.
  • 13. Singh D, Gupta RK, Kumar V. Simulation of a plant scale reactive distillation column for esterification of acetic acid. Computers and Chemical Engineering. 2015;(73):70–81.
  • 14. Mehrkesh A, Tavakoli T, Hatamipour MS, Karunanithi T. Modeling and Simulation of a Rotating-Disk Contactor for the Extraction of Aromatic Hydrocarbons from a Lube-Oil Cut. Ind Eng Chem Res. 2013;(52):9422–32. 15. IP 336/04: Petroleum products – Determination of sulfur content – Energy-dispersive X-ray fluorescence spectrometry (ISO 8754:2003). CEN; 2014.
  • 16. ASTM D4530-11: Standard Test Method for Determination of Carbon Residue (Micro Method). ASTM International; 2011.
  • 17. TS 1013 EN ISO 3675: Crude petroleum and liquid petroleum products – Laboratory determination of density or relative density – Hydrometer method. TSE; 2002.
  • 18. ASTM D1218-12: Standard Test Method for Refractive Index and Refractive Dispersion of Hydrocarbon Liquids. ASTM International; 2016.
  • 19. TS 1451 EN ISO 3104: Petroleum products – Transparent and opaque liquids – Determination of kinematic viscosity and calculation of dynamic viscosity (ISO 3104). TSE; 1999.
  • 20. ASTM D2007-11: Standard test method for Characteristic Groups in Rubber Extender and Processing Oils and Other Petroleum-Derived Oils by the Clay-Gel Absorption Chromatographic Method. ASTM International; 2011.
  • 21. ASTM D2270-10: Standard Practice for Calculating Viscosity Index from Kinematic Viscosity at 40°C and 100°C. ASTM International; 2009.
  • 22. ASTM D341-09: Standard Practice for Viscosity-Temperature Charts for Liquid Petroleum Products. ASTM International; 2009.