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基于ｐｖＴ和Ｔμｐ图形的相似性。结合两参数ＰｅｎｇＲｏｂｉｓｏｎ状态方程，建立了一个能够同时预测流体气、液相粘度的统一模型。该模型的特点是能够同时描述气、液相及超临界流体的粘度随温度、压力和组成的变化，并能够连续通过临界点。在宽广的温度、压力范围内，对２２种烷烃及二氧化碳、氮气共计４２５０个数据点的粘度进行了计算，绝对平均误差为７０１％；通过引入ｖａｎｄｅｒＷａｌｓ单流体混合规则，将ＰＲ粘度模型应用于明确烃类混合物及油气藏流体粘度的计算。三个二元烃类混合物２４４１个数据点的绝对平均误差为１５７１％；９种天然气及２２种油藏原油粘度计算值的绝对平均误差分别为９８％和１３９９％，计算结果优于现有的油气藏流体粘度模型。
Based on the similarity of pvT and Tμp graph. Combined with the two-parameter PengRobison equation of state, a unified model that can predict fluid gas and liquid viscosities simultaneously is established. The model is characterized by the ability to simultaneously describe the viscosity of gas, liquid and supercritical fluids as a function of temperature, pressure and composition, and to continuously pass the critical point. The viscosity of 22 kinds of alkanes, carbon dioxide and nitrogen in a total of 4250 data points was calculated over a wide range of temperature and pressure with an average error of 701%. By introducing vanderWals single fluid mixing rule, the viscosity model of PR To clarify the calculation of fluid viscosity of hydrocarbon mixtures and reservoirs. The absolute mean error of 2441 data points for the three binary hydrocarbon mixtures was 15.71%. The calculated average absolute errors of crude oil viscosities for 9 natural gas and 22 kinds of reservoirs were 98% and 1399% respectively. The result is better than the existing fluid viscosity model.