Chludzinski, G. R., Iyengar, J. N., 1993. Lean acid gas enrichment with selective hindered amines. World Intellectual Property Organization, Patent Number WO93/10883.
Zhou, Q., Chan, C.W., Tontiwachwuthikul, P., Idem, R., Gelowitz, D., 2013. Application of neuro-fuzzy modeling technique for operational problem solving in a CO2 capture process system. International Journal of Green House Gas Control 15, 32-41.
Anifowose, F., Abdulraheem, A., 2011. Fuzzy logic-driven and SVM-driven hybrid computational intelligence models applied to oil and gas reservoir characterization. Journal of Natural Gas Science and Engineering 3, 505-517.
Seagraves, J., Weiland, R., 2011. Troubleshooting amine plants using mass transfer rate-based simulation tools. Laurance Reid Gas Conditioning Conference, University of Oklahoma, Norman, Oklahoma.
Palmer, G., 2006. Acid gas enrichment process. United States Paten., Publication Number: US 7,147,691 B2, 2006.
Sartori, G., Savage, D.W., Stogryn, E.L., 1983. Process for the selective removal of hydrogen sulfide from gaseous mixture with severely sterically hindered secondary amino ether alcohols. United States Patent. Publication Number: 4,405,585.
Weinberg, H. N., Eisenberg, B., Heinzelmann, F. J., Savage, D. W., 1983. New Gas Treating Alternatives for Saving Energy in Refining and Natural Gas Processing. paper presented at 1lth World Petroleum Congress, London, England, Aug. 31.
Parks, L. E., Perry, D., Fedich, R., 2010. FLEXSORB SE® A Proven Reliable Acid Gas Enrichment Solvent. Proceedings of the Second Annual Gas Processing Symposium of Qatar, 10-14 January, 229–235.
Mandal, B.P., Biswas, A.K., Bandyopadhyay, S.S., 2004. Selective absorption of H2S from gas streams containing H2S and CO2 into aqueous solutions of N-methyldiethanolamine and 2-amino-2-methyl-1-propanol. Separation and Purification Technology 35, 191–202.
Lu, J. G., Zheng, Y.F., He, D.L., 2006. Selective absorption of H2S from gas mixtures into aqueous solutions of blended amines of methyldiethanolamine and 2-tertiary butyl amino -2-ethoxyethanol in a packed column. Separation and Purification Technology 52, 209–217.
Siskin, M., Fedich, R. B., Kortunov, P., Thomann, H., 2013. Amine treating process for selective acid gas separation. United States Patent, Publication Number: US 2013/0243677 Al.
Mak, J., Nielsen, R.B., Chow, T.K., Morgan, O., Wong, V.W., 2009. Methods and configuration for acid gas enrichment. United States Patent, Publication Number: US 7,635,408 B2.
Al Utaibi, A., Al Khateeb, W. R., 2010. Enhancement of acid gas enrichment process. Saudi Arabian Oil Company, United States Patent, Publication Number: US 2010/0219061 A1.
Way, P., Viejo, A., 2013. Methods and configuration for H2S concentration in acid gas removal. Fluor Technologies Corporation, International Application Number: PCT/US2012/049866.
Vahidi, M., Moshtari, B. 2013. Dielectric data, densities, refractive indices, and their deviations of the binary mixtures of N-methyldiethanol amine with sulfolane at temperatures 293.15–328.15 K and atmospheric pressure. Thermochimica Acta 551, 1-6.
Mokhatab, S. Poe, W.A., 2012. Handbook of Natural Gas Transmission and Processing. 2nd Edition, Gulf Professional Publishing.
, N., Hilalb
, N., 2008. Sensitivity analysis and faults diagnosis using artificial neural networks in natural gas TEG-dehydration plants. Chemical Engineering Journal 137, 189-197.
, K., Chena
, G., Semaa
, T., Zhanga
, X., Lianga
, Z., Idema
, R., Tontiwachwuthikul
, P., 2013. Experimental study on mass transfer and prediction using artificial neural network for CO2 absorption into aqueous DETA. Chemical Engineering Science 100, 195-202.
Abdulrahman, R.K., Sebastine, I.M., 2013. Natural gas sweetening process simulation and optimization: A case study of Khurmala ﬁeld in Iraqi Kurdistan region. Journal of Natural Gas Science and Engineering 14, 116-120.
Abdulrahman, R.K., Sebastine, I.M., 2013. Effect of lean amine temperature on amine gas sweetening: case study and simulation. Chemistry and Technology of Fuels and Oil 49, 293-297.
Ghanbarabadi, H., Karimi Zad Gohari, F., 2014. Optimization of MDEA concentration in ﬂow of input solvent to the absorption tower and its effect on the performance of other processing facilities of gas treatment unit in Sarakhs reﬁnery. Journal of Natural Gas Science and Engineering 20, 208-213.
Rahmanian, B., Pakizeh, M., Mansoori, S.A.A. Esfandyari, M., Maddah, H., Maskooki, A., Jafari, D., 2012. Prediction of MEUF process performance using artiﬁcial neural networks and ANFIS approaches. Journal of the Taiwan Institute of Chemical Engineers 43, 558–565.
Kidnay, A.J., Parrish, W.R., 2006. Fundamentals of Natural Gas Processing. First Edition, CRC Press.
Crevier, P.P., Dowling, N.I., Clark, P.D., Huang, M., 2001. Quantifying the Effect of Individual Aromatic Contaminants on Claus Catalysts. 51st Laurance Reid Gas Conditioning Conference, Norman Oklahoma, USA.
Zarenezhad, B., 2011. Consider different alternatives for enriching lean acid gases. HYDROCARBON PROCESSING®, Article Number: 2751521.
Zarenezhad, B., Hosseinpour, N., 2008. Evaluation of different alternatives for increasing the reaction furnace temperature of Claus SRU by chemical equilibrium calculations. Applied Thermal Engineering 28, 738-744.
Zong, L., Chen, C.C., 2011. Thermodynamic modeling of CO2 and H2S solubilities in aqueous DIPA solution, aqueous sulfolane–DIPA solution, and aqueous sulfolane–MDEA solution with electrolyte NRTL model. Fluid Phase Equilibria 306, 190–203.
Shokouhi, M., Jalili, A.H., Mohammadian, A.H., Hosseini-Jenab, M., Sadraei Nouri, S., 2013. Heat capacity, thermal conductivity and thermal diffusivity of aqueous sulfolane solutions. Thermochimica Acta 560, 63–70.
Haykin, S., 1999. Neural Networks: A Comprehensive Foundation. 2nd edition, Prentice Hall, New Jersey.
Golub, G.H., Van Loan, CF., 1996. Matrix Computation. Third Edition, The John Hopkins Press Ltd, London.
Poggio, T., Girosi, F., 1990. Regularization algorithms for learning that are equivalent to multilayer networks. Science 247, 978–982.
Shahsavand, A., 2000. Optimal and adaptive radial basis function neural networks, Ph.D. Thesis, University of Surrey, UK.
Niknam Shahrak, M., Shahsavand, A., Okhovat, A., 2013. Robust PSD determination of micro and meso-pore adsorbents via novel modiﬁed U curve method. Chemical Engineering Research and Design 9, 51-62.
Shahsavand, A., Pourafshari Chenar, M., 2007. Neural networks modeling of hollow ﬁber membrane processes. Journal of Membrane Science 297, 59–73.
Shahsavand, A., Ahmadpour, A., 2005. Application of optimal RBF neural networks for optimization and characterization of porous materials. Computer and Chemical Engineering 29, 2134–2143.
Shahsavand, A., 2009. An Optimal Radial Basis Function (RBF) Neural Network for Hyper-Surface Reconstruction. Scientia Iranica Transactions C: Chemistry and Chemical Engineering 16, 41-53.
Shahsavand, A., Garmroodi Asil, A., 2010. Simulation of Khangiran gas treating units for various cooling scenarios. Journal of Natural Gas Science and Engineering 2, 277-283.
Moaseri, E., Mostaghisi, O., Shahsavand, A., Bazubandi, B., Karimi, M., Ahmadi, J., 20.13. Experimental study and techno-economical evaluation of Khangiran sour natural gas condensate desulfurization process. Journal of Natural Gas Science and Engineering 12, 34-42.
Shahsavand, A., Derakhshan Fard, F., Sotoudeh, F., 2011. Application of artiﬁcial neural networks for simulation of experimental CO2 absorption data in a packed column. Journal of Natural Gas Science and Engineering 3, 518-529.
Reza, J., Trejo, A., 2006. Degradation of Aqueous Solutions of Alkanolamine Blends at High Temperature, under the Presence of CO2 and H2S. Chemical Engineering Communication 193, 129–138.
Chakma, A., Meisen, A., 1997. Methyl-diethanolamine degradation- Mechanism and kinetics. Canadian Journal of Chemical Engineering 75, 861–871.