Comprehensive Grading Evaluation Method for CO₂ Flooding Potential Based on Static-Dynamic Parameter Synergy

In order to realize the accurate classification evaluation of reservoir CO2 flooding potential in the middle and late stages of development, this study proposes a reservoir screening standard with dynamic and static parameters, which breaks through the limitations of traditional static evaluation system. By integrating reservoir static attributes (permeability, coefficient of variation, temperature) and dynamic development response (remaining oil saturation, formation pressure reverberation degree, etc.), a ‘geological-development’ two-dimensional collaborative evaluation framework is constructed. Based on the component model, the phase evolution law of CO2 flooding is simulated, and the index system is designed with the increase of recovery rate as the core index and the sealing demand of carbon storage geological body. Orthogonal numerical simulation experiments were designed to quantify the effect of dynamic and static parameter synergy on CO2 flooding potential. The results show that the dynamic and static collaborative evaluation system significantly improves the scientificity and applicability of potential classification, and the division of technical boundaries matches the actual application of the field, which effectively guides the long-term planning and deployment of CCUS in the complex fault block and high water cut old oilfield of Jidong Oilfield. This method provides standardized technical support for the development of large-scale carbon flooding reservoirs through multi-method collaborative analysis, and helps the low-carbon transformation of the oil and gas industry.