The accurate prediction of reservoir fluid flow dynamics under reservoir conditions based on the interfacial tension (IFT) and contact angle (CA) is critical to the flexibility of the carbon dioxide-enhanced oil recovery (CO2-EOR) scheme. Thus, in this paper, a novel data set consisting of IFT and CA data for the CO2-oil-rock systems was established via a high-temperature and high-pressure visualization platform based on the axisymmetric drop shape analysis (ADSA) method. Experimental measurements were carried out covering a large temperature range from 308 to 368 K and pressures up to 17 MPa. The densities of CO2-dissolved oil samples used in the CO2-oil IFT determination were estimated via the volume-translated Peng-Robinson Equation of State (VTPR EOS) method, and molar volume translation parameters (vc,i) for multicomponent hydrocarbon mixtures were obtained. The findings indicate that there was a strong correlation between the interfacial behaviors and CO2-oil interactions: the CO2-oil IFT decreased with increasing pressure, while the CO2- oil-rock CAs for all three substrates (calcite, kaolinite, and quartz) increased with the pressure. Variations in the CA with dependent on the substrate suggested that the oil-wetting characteristics were enhanced on quartz surfaces. Furthermore, dodecane bouncing and spreading on core surfaces were observed under supercritical CO2 conditions. Additionally, a robust empirical correlation was developed to predict the CO2-oil IFT at a specified temperature, pressure, and oil composition. Based on this model, the near-miscible displacement pressure window was determined. This research offers crucial experimental data and insights into interfacial phenomena to enhance the efficiency of CO2-EOR processes.