A Simplified Model for Predicting Minimum Miscibility Pressure of CO2 Flooding in Reservoirs of the Ordos Basin

Minimum miscibility pressure (MMP) is a critical parameter in reservoir screening and development design for CO2 flooding projects. With the expanding implementation of CO2 flooding in the Ordos Basin, practical challenges have emerged, including difficulties in acquiring crude oil samples and the high testing cost during the screening phase. Through experimental measurements and theoretical analysis, significant compositional similarities among different crude oils were revealed. Based on this finding, a simplified MMP prediction model was developed , requiring only reservoir temperature as input. Among the evaluated models, the quadratic polynomial expression achieved the highest fitting accuracy (R2=0.841) and the smallest root mean square error (RMSE).最小混相压力（Minimum Miscibility Pressure，MMP）是二氧化碳驱油项目储层筛选与开发设计中的关键参数。随着鄂尔多斯盆地二氧化碳驱油项目的规模化推广，筛选阶段面临着原油样品获取难度大、测试成本高昂等实际难题。通过实验测试与理论分析，研究揭示了不同原油间存在显著的组分相似性。基于这一发现，本研究构建了仅需储层温度作为输入变量的简化最小混相压力预测模型。在所评估的模型中，二次多项式表达式的拟合精度最高（决定系数R²=0.841），且均方根误差（Root Mean Square Error，RMSE）最小。