Abstract: Nuclear Magnetic Resonance (NMR) is widely used in the analysis of pore space characteristics of loess due to its convenience, low cost, and no damage. However, the previous analysis and application of remolded loess T2 spectrum were limited to obtaining the distribution of pore size, and other spatial information contained in the T2 spectrum was not further extracted, which made the application results of the NMR T2 spectrum too single, resulting in a certain degree of data waste. Based on this, we used mathematical analysis method to quantitatively analyze the T2 spectrum of remolded loess with different dry densities, and applied the mathematical parameters obtained by quantitative analysis to the SDR model, so as to construct a permeability calculation model for remodeled loess. The main conclusions were as follows: (1) There are various differences in the statistical analysis parameters (mean, geometric mean, standard deviation and kurtosis) of the NMR T2 spectrum of loess remolded with different dry densities, which has physical meanings: different dry densities of remolded loess will affect the size, distribution and sorting characteristics of pores in the soil. Compared with the traditional method to obtain the pore volume of soil, the mathematical parameters obtained by numerical statistics method can describe the empty pores more comprehensively and accurately. (2) The permeability of each remolded loess was calculated by constructing the SDR model of the remolded loess, the minimum permeability was about 0.3 mD, and the calculated results were close to the previous experimental results. (3) Dry density affected micro-spatial characteristics of soil, and causing the change of soil permeability characteristics. (4) From the correlation analysis, the mean and geometric mean of T2 spectrum had great influence on soil permeability. To a certain extent, the research results can provide new ideas for the application of NMR in the loess study field, new methods for predicting the permeability of loess, and new thinking for understanding the mechanism of soil permeability.