Oil migration and accumulation coefficient is a key parameter in the genetic evaluation of petroleum resources. In order to determine the value of migration and accumulation coefficient of main petroliferous basins in China, 54 calibration plays of 6 basins in China were dissected, and a multiple nonlinear regression equation was established in the eastern and western regions to construct the prediction model, and the relationship between the oil migration and accumulation coefficient and the main geological control factors in China's major basins was quantitatively studied. The results show that the migration and accumulation coefficient of oil is mainly related to the absolute value of age of source rock, reservoir age, the number of unconformities above the caprock, the type of hydrocarbon supply streamline, the absolute value of age difference between source rock and reservoir, and the age ratio of reservoir to source rock. The results show that the statistical model established by multivariate nonlinear regression analysis has good prediction effect and can reduce human factors, which can be used to quantitatively predict the oil migration and accumulation coefficient of major basins in China.