There is a large amount of residual oil in the high part of the reservoir and the recovery rate is low when the high dip angle and low permeability reservoir is developed by water flooding. The use of CO₂ assisted gravity flooding can make full use of the geological characteristics of high dip angle and effectively improve the recovery degree of this kind of reservoir. However, because the influence of CO₂ on the physical properties of crude oil is much greater than the influence of water on the physical properties of crude oil, the seepage process of fluid in the process of CO₂ flooding is more complex, so it is necessary to study the reasonable production allocation optimization of CO₂ gravity flooding in low permeability reservoirs. Firstly, according to the relationship between the pressure at any point in the reservoir and the minimum miscible pressure, the miscible and immiscible models of CO₂ gravity flooding in low permeability reservoirs considering the pressure sensitivity effect were established respectively. Secondly, Python was used to solve the model, and the influence of pressure sensitivity coefficient, formation dip angle, injection-production well spacing and gas injection speed on reservoir allocation was analyzed. Finally, combined with the existing work system method and the production increase multiple method, compared with the calculation results of this model, the tNavigtor software was used to predict the recovery rate of the three methods. The results show that this method has a good development effect on the reasonable production allocation of the reservoir, and the recovery rate of the reservoir is relatively high. The research results have a good reference for the development of this kind of low permeability reservoir.