中文摘要：

利用塔河稠油分别掺混4种塔河稀油的粘度测试数据，对Arrhenius粘度模型、双对数粘度模型、Cragoe粘度模型和Lederer粘度模型进行评价，结果显示：Cragoe模型准确度最高，最适合对塔河稠油掺稀粘度进行预测。考虑不同掺稀体积比对Cragoe模型预测结果的影响，将稠油的质量分数作为Cragoe粘度模型的改进参数，分别对稀稠体积比高于和低于1：1的预测值进行放大和缩小处理，改进Cragoe模型，实现平均误差和最大误差较改进前分别下降43％和32％。（表7，图3，参11）

英文摘要：

By using viscosity testing data of Tahe Heavy Oils mixed with 4 kinds of Tahe Light Oils, Arrhenius viscosity model, double logarithmic viscosity model, Cragoe viscosity model and Lederer viscosity model are evaluated. The results show that Cragoe model has the highest accuracy and is most suitable for prediction of the viscosity of Tahe Heavy Oil mixed with light oil. In consideration of impacts of different mixed light oil volumes on prediction error of the Cragoe model, mass fraction of the heavy oil is taken as an improvement parameter of the Cragoe viscosity model to conduct increase and reduction of predicted values respectively for light oil-heavy oil volume ratios higher and lower than 1：1, so that the Cragoe model is improved to reduce average error and maximum error respectively by 43% and 32%. （7 Tables, 3 Figures, 11 References）