___

• Avlonitis, D. (1992). Thermodynamics of Gas Hydrate Equilibria. Ph.D. Thesis, Department of Petroleum Engineering, Heriot-Watt University, Edinburgh.
• Avlonitis, D., Danesh, A., Todd, A.C. (1994). Prediction of VL and VLL Equilibria of Mixtures Containing Petroleum Reservoir Fluids and Methanol with a Cubic EoS. Fluid Phase Equil., 94, 181-216.
• Beale, R., Jackson, T. (1990). Neural Computing: An Introduction. First ed., IOP Publishing Ltd., UK.
• Chapoy, A., Coquelet, C., Richon, D. (2003). Solubility Measurement and Modeling of Methane/Water Binary System at Temperatures from 283.15 to 318.15 K and Pressures up to 35 MPa. Fluid Phase Equil., 214, 101– 117.
• Chapoy, A., Haghighi, H., Burgass, R., Tohidi, B. (2010). Gas Hydrates in Low Water Content Gases: Experimental Measurements and Modelling Using the CPA Equation of State. J. Chem. Therm., 40, 1030– 1037.
• Chapoy, A., Haghighi, H., Tohidi, B. (2008). Development of a Henry’s Constant Correlation and Solubility Measurements of N-Pentane, I-Pentane, Cyclopentane, N-Hexane, and Toluene in Water. J. Chem. Therm., 40, 1030-1037.
• Chapoy, A., Mohammadi, A.H., Richon, D. (2007). Predicting the Hydrate Stability Zones of Natural Gases Using Artificial Neural Networks. Oil Gas Sci. Tech., 62, 701–706.
• Danesh, A. (1998). PVT and Phase Behaviour of Petroleum Reservoir Fluids. Elsevier, Amsterdam. Das, A., Maiti, J., Banerjee, R. N. (2010). Process Control Strategies for a Steel Making Furnace Using ANN with Bayesian Regularization and ANFIS. Expert Syst. Appl., 37, 1075–1085.
• Demuth, H., Beale, M. (2002). Neural Network Toolbox User’s Guide. The Math Works Inc.
• Dharmawardhana, P.B., Parrish, W.R., Sloan, E.D. (1980). Experimental Thermodynamic Parameters for the Prediction of Natural Gas Hydrate Dissociation Conditions. Ind. Eng. Chem. Fund., 19, 410–414.
• Elgibaly, A.A., Elkamel, A.M. (1998). A New Correlation for Predicting Hydrate Formation Conditions for Various Gas Mixtures and Inhibitors. Fluid Phase Equil., 152, 23–42.
• Erdogmus, M. (2000). Development of a Modified PatelTeja Equation of State. PhD. Dissertation, Pennsylvania State University, University Park, PA.
• Esen, H., Inalli, M. (2010). ANN and ANFIS Models for Performance Evaluation of a Vertical Ground Source Heat Pump System. Expert Syst. Appl., 37, 8134–8147.
• Ferrando, N., Lugo, R., Mougin, P. (2006). Coupling Activity Coefficient Models, Henry Constant Equations, and Equations of State to Calculate Vapor–Liquid and Solid–Liquid Equilibrium Data. Chem. Eng. Process, 45, 773-782.
• Habiballah, W.A., Startzman, R.A., Barrufet, M.A. (1996). Use of Neural Networks for Prediction of Vapor Liquid Equilibrium K-Values for Light-Hydrocarbon Mixtures. SPE Reservoir Eng., 11, 121–126.
• Jang, J.S.R. (1993). ANFIS: Adaptive-Network-Based Fuzzy Inference System, IEEE Trans. Syst. Man. Cybern., 23, 665–685.
• Jang, J.S.R., Gulley, N. (2002). Fuzzy Logic Toolbox User’s Guide. The Math Works Inc.
• John, V.T., Papadopoulos, K.D., Holder, G.D. (1985). A Generalized Model for Predicting Equilibrium Conditions for Gas Hydrates. AIChE J., 31, 252–259.
• Kwak, T.Y., Mansoori, G.A. (1986). Van Der Waals Mixing Rules for Cubic Equations of State, Applications for Supercritical Fluid Extraction Modeling. Chem. Eng. Sci., 41, 1303-1309.
• Marion, G.M., Catling, D.C., Kargel, J.S. (2006). Modeling Gas Hydrate Equilibria in Electrolyte Solutions. Calphad, 30, 248–259.
• Ma, Q.L., Chen, G.J., Guo, T.M. (2003). Modeling the Gas Hydrate Formation of Inhibitor Containing Systems. Fluid Phase Equil., 205, 291–302.
• Mohammadi, A. H., Belandria, V., Richon, D. (2010). Use of an Artificial Neural Network Algorithm to Predict Hydrate Dissociation Conditions for Hydrogen + Water and Hydrogen + Tetra-N-Butyl Ammonium Bromide + Water Systems. Chem. Eng. Sci., 65, 4302–4305.
• Mohammadi, A. H., Richon, D. (2010). Hydrate Phase Equilibria for Hydrogen + Water and Hydrogen + Tetra Hydro Furan + Water Systems: Predictions of Dissociation Conditions Using an Artificial Neural Network Algorithm. Chem. Eng. Sci., 65, 3352–3355.
• Munck, J., Skjold-Jorgensen, S., Rasmussen, P. (1988). Computations of the Formation of Gas Hydrates. Chem. Eng. Sci., 43, 2661-2672.
• Paranjpe, S.G., Patil, S.L., Kamath, V.A., Godbole, S.P. (1989). Hydrate Equilibria for Binary and Ternary Mixtures of Methane, Propane, Isobutane, and NButane: Effect of Salinity. SPE Reservoir Eng., 4, 446– 454.
• Parrish, W.R., Prausnitz, J.M. (1972). Dissociation Pressures of Gas Hydrates Formed by Gas Mixtures. Ind. Eng. Chem. Process Des. Dev., 11, 26–35.
• Patel, N.C., Teja, A.S. (1982). A New Cubic Equation of State for Fluids and Fluid Mixtures. Chem. Eng. Sci., 37, 463-473.
• Peng, D.Y., Robinson, D.B. (1976). A New Two Constant Equation of State. Ind. Eng. Chem. Fund., 15, 59-64. Poling, B.E., Prausnitz, J.P., O’Connell, J.P. (2004). The Properties of Gases and Liquids. Fifth ed., McGRAWHILL, New York.
• Rackett, H.G. (1970). Equation of State for Saturated Liquids. J. Chem. Eng. Data, 15, 514–517. Sloan, E.D., Koh, C. (2008). Clathrate Hydrates of Natural Gases. Third ed., CRC Press.
• Tohidi, B., Burgass, R.W., Danesh, A., Todd, A.C. (1993). Hydrate Inhibition Effect of Produced Water, Part 1. Ethane and Propane Simple Gas Hydrates. SPE, 255- 264.
• Valeh-e-Sheyda, P., Yaripour, F., Moradi, G., Saber, M. (2010). Application of Artificial Neural Networks for Estimation of the Reaction Rate in Methanol Dehydration. Ind. Eng. Chem. Res., 49, 4620–4626.
• Van der Waals, J.H., Platteeuw, J.C. (1959). Clathrate Solutions. Adv. Chem. Phys., 11, 1–57.