There have been a number of studies discussing the amine absorption process. For example, Sohbi et al. (2007) explored the use of mixed amines in an industrial gas sweetening plant; their results suggest several optimal configurations for different feeds. Halim and Srinivasan (2009) proposed a simulation–optimization framework comprising HYSYS simulator and a jumping gene based multi-objective simulated annealing, to evaluate the efficacy of CO2 removal using DEA. Plaza et al. (2010) studied several thermodynamic models in Aspen Plus for modeling amine absorption process. Loading and removal for the absorber were predicted within 6%, and average difference of 3.8% between measured and calculated values in the stripper was achieved. Abdulrahman and Albarzenji (2012) used 35 wt% DEA to treat NG containing 5 mol% acid gas; they developed a 10-step methodology to calculate the most important design variables. Lee et al. (2013) simulated amine absorption process with different solvents. A multi-objective genetic algorithm was used to determine the best process design and operating conditions for each solvent.