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Original Articles

Prediction of the Surface Tension of Hydrocarbons

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REFERENCES

  • Abbas, S., and Nordholm, S. (1995). Simple estimation of bulk thermodynamic properties and surface tension of polar fluids. J. Colloid Interface Sci. 174:264–267.
  • Almeida, B.S., and Telo da Gama, M.M. (1989). Surface tension of simple mixtures: comparison between theory and experiment. J. Phys. Chem. 93:4132–4138.
  • Barker, J.A., and Henderson, D. (1967). Perturbation theory and equation of state for liquids, II. A successful theory of liquids. J. Chem. Phys. 47:4714–4721.
  • Brock, J.R., and Bird, R.B. (1955). Surface tension and the principle of corresponding states. AIChE J. 1:174–177.
  • Curl, R.F., and Pitzer, K. (1958). Volumetric and Thermodynamic properties of fluids enthalpy, free energy, and entropy. Ind. Eng. CHem. 50:265–274.
  • Danesh, A. (1998). PVT and Phase Behavior of Petroleum Reservoir Fluids. Amsterdam: Elsevier.
  • Elshafei, M., and Hamada, G.M. (2009). Neural network identification of hydrocarbon potential of shaly sand reservoirs. Pet. Sci. Technol. 27:72–82.
  • Escobedo, J., and Mansoori, G.A. (1996). Surface tension prediction for pure fluids. AIChE J. 42:1425–1433.
  • Fu, D., Lu, J.-F. Liu, J.-C., and Li, Y. G., (2001). Prediction of surface tension for pure non-polar fluids based on density functional theory. Chem. Eng. Sci. 56:6989–6996.
  • Gharagheizi, F., Eslamimanesh, A., Mohammadi, H., and Richon, D. (2011). Use of artificial neural network-group contribution method to determine surface tension of pure compounds. J. Chem. Eng. Data 56:2587–2601.
  • Guggenheim, E.A. (1945). The principle of corresponding states. J. Chem. Phys. 13:253–261.
  • Kumar, D., Gupta, S., and Basu, S. (2005). Prediction of surface tension of organic liquids using artificial neural networks. Ind. Chem. Eng. 47:219–223.
  • Landolt, H., and Börnstein, R. (2007). Landolt-Börnstein: numerical data and functional relationships in science and technology - new series. New York: Springer.
  • Mehdizadeh, B., and Movagharnejad, K. (2011). A comparison between neural network method and semi empirical equations to predict the solubility of different compounds in supercritical carbon dioxide. Fluid Phase Equilib. 303:40–44.
  • Movagharnejad, K., Mehdizadeh, B., Banihashemi, M., and Kordkheili, M. S. (2011). Forecasting the differences between various commercial oil prices in the Persian Gulf region by neural network. Energy 36:3979–3984.
  • Movagharnejad, K., and Nikzad, M. (2007). Modeling of tomato drying using artificial neural network. Comput. Electron. Agricult. 59:78–85.
  • Pazuki, G., Nikookar, M., and, Sahranavard, L. (2011). Prediction of surface tension of pure hydrocarbons by an artificial neural network system. Pet. Sci. Technol. 29:2384–2396.
  • Pitzer, K.S., and Curl, R.F. (1957). The volumetric and thermodynamic properties of fluids. III. Empirical equation for the second virial coefficient. J. Am. Chem. Soc. 79:2369–2370.
  • Qiao, Z., Yan, L., Cao, Z., and Xie, Y. (2001). Surface tension prediction of high-temperature melts. J. Alloys Compd. 325:180–189.
  • Rice, P., and Teja, A.S. (1982). A generalized corresponding-states method for the prediction of surface tension of pure liquids and liquid mixtures. J. Colloid Interface Sci. 86:158–163.
  • Riedel, L. (1954). Die Flüssigkeitsdichte im Sättigungszustand. Untersuchungen über eine Erweiterung des Theorems der übereinstimmenden Zustände. Teil II. Chem. Eng. Technol. 26:259–264.
  • Sastri, S.R. S., and Rao, K.K. (1995). A simple method to predict surface tension of organic liquids. Chem. Eng. J. Biochem. Eng. J. 59:181–186.
  • Strechan, A.A., Kabo, G.J., and Paulechka, Y. U. (2006). The correlations of the enthalpy of vaporization and the surface tension of molecular liquids. Fluid Phase Equilib. 250:125–130.
  • Zuo, Y.-X., and Stenby, E.H. (1997). Corresponding-states and parachor models for the calculation of interfacial tensions. Can. J. Chem. Eng. 75:1130–1137.

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