Although there have been various studies on using 2-amino-2-methyl-1-propanol (AMP) as a solvent, none of them have been able to suggest the favorable mass transfer model which accurately predicts CO2 capture processes’ results. In this article, two sets of lap scale data have been used according to Choi et al.’s and Khan et al.’s works [1, 2]. Therefore, the parameters of the kinetics, thermodynamics and hydrodynamics are initially specified with the use of rate-base model, and then in the first validation of the mass transfer models for CO2 capture process by 2-amino-2-methyl-1-propanol (AMP), the Choi et al.’s experimental data are utilized. To test the reliability of the achieved results in the first validation (and to choose the best correlations for CO2capture process by AMP), in the second section of this work Khan et al.’s experimental data have been used. In summary, utilizing correlations of Onda et al., Bravo-Fair (B-F) and Billet-Schultes (B-S) in fourteen different experimental conditions (on the report of Choi et al.’s and Khan et al.’s data), show that Bravo-Fair correlation is more accurate than the two other correlations. After the simulation of Choi et al.’s experimental data and employing mass transfer models, the errors of Onda et al., B-F and B-S are achieved as 10.99, 7.92 and 16.67 % respectively in forecasting CO2 absorption (%). Considering Khan et al.’s experimental data in 6 different conditions and regarding the three different equations, it is revealed that the mean absolute error (MAE) of Onda et al., B-F and B-S models in forecasting the CO2 absorption (%) are 9.18, 6.6 and 10.81 % respectively. In the last validation, the accuracy of correlations in predicting absorber loading is investigated according to Khan et al.’s experimental data, which shows that B-F has the highest accuracy compared to two other models. The errors of Onda et al., B-F and B-S models in forecasting rich loading are 14.44, 6.6, and 21.4(%) respectively. Hence, t