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Experiment and correlations for CO2-oil minimum miscibility pressure in pure and impure CO2 streams

机译:纯净和不纯净CO2流中CO2油最小混溶压力的实验及相关性

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Miscible gas flooding is one of the most effective methods for enhanced oil recovery (EOR). A key and important parameter in designing an efficient miscible gas flooding is the minimum miscibility pressure (MMP). It is very essential to determine and predict gas-oil MMP for EOR technology. In this work, both the experiment and correlation approaches for obtaining gas-oil MMP were studied. Experimentally, a set of apparatus with the vanishing interfacial tension (VIT) technique was set up and utilized to determine the gas-oil MMP for three different kinds of injection gas. Theoretically, a new model was proposed to predict the gas-oil MMP. A total of 156 experimental MMP data were achieved from this work and literature was used to train and test the model. The average absolute relative deviations (AARD%) of the training set for pure CO2, CO2 mole fraction less than 0.5 (x(CO2) < 0.5) and CO2 mole fraction larger than 0.5 (x(CO2) > 0.5) in the injection gas are 5.85%, 4.06% and 6.49%, respectively. The AARD% of the testing set are 2.08%, 2.97% and 5.26%, respectively. The model is applied to calculate the gas-oil MMP in different CO2 purity flooding with CO2 mole fraction in the injection gas from 0.0352 to 1.
机译:混溶性天然气驱是提高采收率(EOR)的最有效方法之一。设计有效的混相气驱的关键和重要参数是最小混相压力(MMP)。确定和预测用于EOR技术的汽油MMP非常重要。在这项工作中,研究了获得瓦斯油MMP的实验方法和相关方法。实验上,建立了一套具有消失界面张力(VIT)技术的设备,并用于确定三种不同注入气体的气油MMP。理论上,提出了一种新的模型来预测汽油MMP。通过这项工作,总共获得了156个实验MMP数据,并使用文献对模型进行了训练和测试。注入气体中纯CO2,CO2摩尔分数小于0.5(x(CO2)<0.5)和CO2摩尔分数大于0.5(x(CO2)> 0.5)的训练集的平均绝对相对偏差(AARD%)分别为5.85%,4.06%和6.49%。测试集的AARD%分别为2.08%,2.97%和5.26%。应用该模型计算注入气中的CO2摩尔比为0.0352至1的不同CO2纯度驱油条件下的瓦斯油MMP。

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