Abstract: Reservoir pore structure evaluation is of great significance for the oil and gas resources exploration and development as well as carbon dioxide geological storage. It is an effective means to predict capillary pressure curves based on the transverse relaxation time (T₂) spectra from nuclear magnetic resonance (NMR) logging for the reservoir pore structure evaluation. Aiming at the strong theoretical nature of the conversion model and the complexity of the principle, a simulation experiment for NMR logging T₂ spectra-based reservoir pore structure evaluation is designed with MATLAB GUI. The interactive interface contains three modules, i.e., capillary pressure curve preprocessing, NMR T₂ spectrum-based capillary pressure curve prediction and pore structure characteristic parameter extraction. In the simulation experiment, the different prediction methods are used to convert NMR T₂ spectra to capillary pressure curves, and the results are compared with the measured data on the graphical interface. Pore structure characteristic parameters are finally extracted from the predicted capillary pressure curves and used to evaluate the reservoir pore structure. The simulation experiment system is easy to operate, and it can visualize the processing results for the different methods to students, which enhances their understanding and knowledge of the different models to predict capillary pressure curve and improves the teaching effect of geophysical well logging.