The quartet-parameter structure generation set (QSGS) method is a commonly used modeling algorithm for porous media. The fractal dimension and pore autocorrelation distance of porous media are important indicators for evaluating modeling effect. There is currently a lack of research on the relationship between the parameters of the QSGS method and the fractal dimension

as well as the pore autocorrelation distance of porous media. A method for normalizing the probability distribution of the cores of growth phase is proposed

and a set of numerical simulation schemes for modeling porous media with different grid sizes

porosities and normalized distribution probability is designed on this basis. Then the variations of and with the modeling parameters N

and are analyzed based on the numerical simulation results

and the sensitivity of the modeling parameters is analyzed based on the orthogonal tests. Finally

the fitting relationships between the modeling parameters and are established. The results show that the modeling parameters and all have a certain degree of influence on

and the degree of influence is and N in descending order. The main influencing factor of is  

and the other parameters have less influence. The constructed multiple regression fitting models have high precision and can be used to guide the modeling of the QSGS method.