胜利油田最小混相压力预测模型

A Prediction Model for Minimum Miscibility Pressure of CO₂ and Oil in Shengli Oilfield

摘要: 最小混相压力是CO₂驱油方案研究中的重要参考参数。实验方法是测定最小混相压力的直接准确的方法，但该手段所需时间较长。因此在一些情况下可以通过建立一些快速的计算模型计算最小混相压力。混相压力的经验公式的参数与原油性质及油藏条件相关，因此借鉴目前已有的最小混相压力计算模型，基于胜利油田的条件及原油性质，建立了适于胜利油田的最小混相压力计算模型。该方法考虑以油藏温度、挥发组分摩尔分数、中间组分摩尔分数及重烃的相对分子质量为参数，得出预测模型，并计算该模型的计算误差。

Abstract: Minimum Miscibility Pressure (MMP) is an important reference parameter in the design of CO₂ flooding scheme. The direct and accurate method to measure the minimum miscibility pressure is experimental method. But the experimental method is time costly. Therefore, the MMP could be calculated by constructing predicting model in some cases. As the parameters of predicting model depend on the oil properties, based on the existing prediction model, a prediction model for Shengli Oilfield is constructed using the experimental data of oil in Shengli Oilfield. The temperature of reservoir, mole fraction of volatile component, mole fraction of middle component and relative molecular mass of heavy component are used as parameters of the prediction model. At last, the error of this model is calculated.