The CO₂ capture, utilization and storage (CCUS) are very important. CO₂-responsive materials have good CO₂ responsiveness and can play a certain role in CCUS. However, the use temperature of CO₂-responsive surfactant is relatively low, and the main factors affecting their performance are still not clear, seriously affecting their large-scale application. In this work, a kind of high-temperature CO₂-responsive surfactant was synthesized, and it can form a high-temperature CO₂-responsive smart gel system when combined with counter ion salt. The effects of temperature, surfactant concentration, salinity, aging time and oil content on the properties of the CO₂-responsive smart gel system were studied by means of rheological experiments and SEM characterization. Combined with statistical analysis methods, a large number of experimental data were analyzed and fitted, a mathematical model was constructed. The mathematical model was highly feasible and statistically significant. Based on the mathematical model, the main factors affecting the performance of the CO₂-responsive smart gel system were analyzed, and the gelation mechanism of the gel system was obtained. This work is expected to provide some guidance for the future application of the CO₂-responsive smart gel.

CO ₂捕获、利用和储存（CCUS）非常重要。CO ₂响应材料具有良好的CO ₂响应性，可以在CCUS中发挥一定的作用。_{然而，CO 2}响应型表面活性剂的使用温度较低，影响其性能的主要因素尚不明确，严重影响了其大规模应用。本工作合成了一种高温CO ₂响应型表面活性剂，与抗衡离子盐结合可形成高温CO _{2响应型智能凝胶体系。温度、表面活性剂浓度、盐度、老化时间和含油量对CO 2}性能的影响通过流变学实验和 SEM 表征研究了响应性智能凝胶体系。结合统计分析方法，对大量实验数据进行分析拟合，构建数学模型。该数学模型具有高度可行性和统计显着性。基于数学模型，分析了影响CO ₂响应型智能凝胶体系性能的主要因素，得出了凝胶体系的凝胶化机理。该工作有望为CO ₂响应型智能凝胶的未来应用提供一些指导。