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首页> 外文期刊>Industrial & Engineering Chemistry Research >Prediction of Viscosity of Heavy Petroleum Fractions and Crude Oils Using a Corresponding States Method
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Prediction of Viscosity of Heavy Petroleum Fractions and Crude Oils Using a Corresponding States Method

机译:对应态方法预测重质石油馏分和原油的粘度

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A new corresponding states model for predicting the viscosity of heavy crude oils and petroleum fractions is proposed in this work. The model uses decane and eicosane as reference components for petroleum fractions of average molecular weight higher than 142. The viscosity of a component or fraction may be obtained from the viscosities of these two reference fluids (decane and eicosane) at the same reduced temperature and reduced pressure using the molecular weight as an interpolation parameter. This model showed better accuracy in predicting the viscosity than the model that uses one reference (methane) or two references (methane and decane), when the molecular weight is higher than 142. The present model, when tested on 187 data points for 29 undefined heavy petroleum fractions from 15 worldwide crudes, yielded an overall deviation of 5.3%. Testing of the model on 53 data points for seven crude oils from offshore Abu Dhabi yielded an average absolute deviation of 5.9%.
机译:在这项工作中,提出了一个新的相应状态模型来预测重质原油和石油馏分的粘度。该模型使用癸烷和二十烷作为参考组分,用于平均分子量高于142的石油馏分。组分或馏分的粘度可以从这两种参考流体(癸烷和二十烷)的粘度在相同的降低温度和降低的粘度下获得。分子量作为内插参数。当分子量高于142时,该模型显示的粘度预测精度比使用一个参考(甲烷)或两个参考(甲烷和癸烷)的模型更好。在187个数据点测试了29个不确定的模型时,该模型来自15种全球原油的重质石油馏分的总偏差为5.3%。对来自阿布扎比近海的七种原油的53个数据点进行模型测试,得出的平均绝对偏差为5.9%。

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