University of Tehran Journal of Chemical and Petroleum Engineering 2423-673X 45 1 2011 06 01 A Comparative Survey of Modeling Absorption Tower Using Mixed Amines 57 70 23482 10.22059/jchpe.2011.23482 EN Mohammad Samipoor Giri Chemical Engineering Department, Islamic Azad University, North Branch Mahdi Akbari School of Chemical Engineering, College of Engineering, University of Tehran Mojtaba Shariaty-Niassar University of Tehran, College of Engineering Afshin Bakhtiari School of Chemical Engineering, College of Engineering, University of Tehran Journal Article 1970 01 01 In natural gas treatment, the removal of CO2 and H2S in acid gases is a critical concern. There are various purification technologies that can be used for the removal of acid gas impurities. Absorption of acid gas into amines is one preferred method in gas industries. In the past, single amines was used, but recently in order to improve absorption performance, mixed amines with different solubility and reaction rates have been used.<br /> In this study, artificial neural network ANN is used as a method to model the absorption tower when uses mixed amines. A specified model which is simple in calculation and good in accuracy was developed. In this model back propagation learning is used and the corresponding parameters have been optimized. Finally, the new method has been compared with conventional mass transfer and equilibrium methods. The obtained results confirmed the simplicity and accuracy of the developed method. https://jchpe.ut.ac.ir/article_23482_e88dd81898bb6ff189d3db2e1dad7b05.pdf