PR导热系数普遍化模型及其精度预测分析

在原PR导热系数模型基础上，改进建立了一个PR导热系数普遍化模型，在温度80～1400K和压力0.1～350MPa内对油气藏流体中常见的22个纯组分的气、液相导热系数总共3263个数据点进行了拟合，总平均相对误差为7．34％。对13个二元和三元混合物总共260个数据点预测的总平均相对误差为7．94％；对3个石油馏分总共22个数据点导热系数预测的总平均相对误差为9．68％。对极性纯物质的总共810个数据点预测的总平均相对误差为6．86％；对极性二元混合物的共439个数据点预测的总平均相对误差为6．03％。该模型的计算精度明显优于石油工程中常用的导热系数模型。

General model of PR thermal conductivity and its analysis of precision prediction

A general model of thermal conductivity based on PR EOS was developed. It is applicable to both gas phase and liquid phase in a wide temperature range from 80 to 1400 K and pressure range from 0.1 to 350 MPa, The calculation resuits of 3 263 data points for pure hydrocarbons, carbon dioxide and nitrogen indicate a overall average relative error of 7.34 %. The overall average relative error of calculated thermal conductivity data for 12 binary mixtures and a ternary mixlures of 260 data points is 7.94%. The overall average relative error of thermal conductivity for three-petroleum cut is 9.68 %. The overall average relative error for polar pure substance of 810 data points is 6.86 %, The overall average relative error for polar binary mixture of 439 data points is 6.03 %. Compared with the existing typical thermal conductivity correlations, significant improvement is showed in precision.