A new correlation for predicting hydrate formation conditions for ...

42( )A.A. Elgibaly, A.M. ElkamelrFluid Phase Equilibria 152 1998 23–42w23xP. Englezos, Computation of the incipient equilibrium carbon dioxide hydrate formation conditions in aqueouselectrolyte solutions, Ind. Eng. Chem. Res. 31 Ž 1992.2232–2237.w24xAPI Technical Data Book, 1982, pp. 9–163.w25x M.J. Lee, J.T. Chen, Fluid property prediction with the aid of neural networks, Ind. Eng. Chem. Res. 32 Ž 1993.995–997.w26xW.A. Habiballah, R.A. Startzman, M.A. Barrufet, Use of Neural Networks for Prediction of VaporrLiquid EquilibriumK Values for Light-Hydrocarbon Mixtures, SPERE, May 1996, 121–126.w27xR. Stein, Preprocessing Data for Neural Networks, AI Expert, March, 1991, 33–37.w28xK.Y. Song, R. Kobayashi, Final hydrate stability conditions of methane and propane mixture in the presence of purewater and aqueous solutions of methanol and ethylene glycol, Fluid Phase Equilibria 47 Ž 1989.295–308.w29xL.F.S. Rossi, C.A. Gasparetto, Prediction of Hydrate Formation in Natural Gas Systems, SPE 28478 presented at the64th Annual Technical Conf. And Exhib., Dallas, TX., October 6–9, 1991.w30xP. Englezos, Z. Huang, P.R. Bishnoi, Prediction of natural gas hydrate formation conditions in the presence of methanolusing the Trebble–Bishnoi equation of state, J. Canadian Petroleum Technology 30 Ž.Ž 2 1991.148–155.w31x H.J. Ng, D.B. Robinson, The role of n-butane in hydrate formation, AIChE J. 22 Ž.Ž 4 1976.656–661.w32x G.D. Garson, Interpreting Neural-Network Connection WeightŽ.s , AI Expert, April, 1991, 47.