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粘度模型是提高石油采收率程序包的重要组成部分。并且对纯原油而言 ,已经建立了几个精确模型。在这篇文献中 ,深化了一种在早期出版物中出现的简单相关模型。不仅能预测稀释原油混合物的粘度 ,而且还能对使原油粘度降低到可开采粘度的稀释剂的质量分数进行预测。在深化粘度模型中 ,把纯原油及稀释剂的粘度作为边界点 ,并建立质量分数的n(粘度降低参数 )次幂 ,用来解释随稀释剂质量分数的增加原油粘度急剧降低的程度。模型以三种不同原油及 5种不同稀释剂的 99个数据点为基础而建立 ;粘度范围为 10 -1～ 10 6mm2 /s。模型重新计算了粘度及质量分数值。并且与Cragoe、Chirinosde等方程进行了对比 ,结果吻合程度非常高。粘度与质量分数的平均绝对偏差分别为 12 %和 5 % ,对深化模型以外的预测数据表明实验数据与预测数值有很好的吻合性 ,2 5℃ ,6 0 3℃和 82 6℃混合物的粘度平均绝对偏差在 10 %以下。
The viscosity model is an important part of the package to improve oil recovery. And for pure crude oil, several precise models have been established. In this document, a simple correlation model that appears in earlier publications is deepened. Not only can the viscosity of the diluted crude oil mixture be predicted, but the mass fraction of the diluent that reduces the viscosity of the crude oil to a recoverable viscosity can also be predicted. In the deepened viscosity model, the viscosity of pure crude oil and diluent is taken as the boundary point and a mass fraction of n (viscosity reduction parameter) power is established to explain the sharp decrease in viscosity of the crude oil as the mass fraction of diluent increases. The model is based on 99 data points for three different crude oils and five different diluents; the viscosity range is 10 -1 to 10 6 mm 2 / s. The model recalculated viscosity and mass fraction values. And compared with Cragoe, Chirinosde and other equations, the result is very high agreement. The average absolute deviations of viscosity and mass fraction were 12% and 5%, respectively. The prediction data except for the deepened model showed good agreement between the experimental data and the predicted values. The average values of viscosity and mass fraction of the mixture at 25 ℃, 6 0 3 ℃ and 82 6 ℃ The average absolute viscosity deviation of 10% or less.