塔河稠油掺稀粘度预测模型  

Prediction model for viscosity of Tahe Heavy Oil mixed with light oil

作　　者：明亮[1,2] 敬加强[1] 代科敏[1,2] 李业[1] 吴东容[1] 

机构地区：[1]西南石油大学,四川成都610500 [2]中国石油集团工程设计有限责任公司西南分公司,四川成都610041

出　　处：《油气储运》2013年第3期263-266,269,共5页Oil & Gas Storage and Transportation

基　　金：国家自然基金"稠油流动边界层在水基泡沫作用下的阻力特性研究";51074136;高等学校博士学科点专项科研基金联合资助项目"稠油掺水流动粘度测定及压降预测研究";20115121110004

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%。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）

关 键 词：稠油掺稀 粘度预测 Cragoe粘度模型 模型改进 塔河油田 

分 类 号：TE832[石油与天然气工程—油气储运工程]