摘要
原油分子组成模型对于原油的管道运输、组成认识都具有实际应用价值。基于结构单元耦合键电矩阵法,采用原油表征数据构建了原油分子组成模型并通过遗传算法优化概率密度函数参数实现组成模型的优化,并将组成模型结果结合Walther方程构建原油黏温曲线预测模型。结果表明,构建的原油分子组成模型预测值与实验值呈现一致性,黏温曲线整体预测趋势符合实验数据,预测精度达到目前重油流动性模型的预测精度。
The molecular composition model of crude oil has practical application value for the pipeline transportation and composition understanding of crude oil.Based on the structural unit-coupled bond-electron matrix method,this paper constructed a molecular composition model of crude oil by using crude oil characterization data and updated the composition model by optimizing the parameters of the probability density function through genetic algorithms.The composition model results were combined with the Walther equation to construct a viscosity-temperature curve prediction model of crude oil.The results show that the predicted value of the molecular composition model of crude oil constructed in this paper is consistent with the experimental value,and the overall prediction trend of the viscosity-temperature curve is in line with the experimental data.The prediction accuracy reaches the current prediction accuracy of the heavy oil fluidity model.
作者
闫锋
陈思杭
李其抚
莫琳琳
YAN Feng;CHEN Sihang;LI Qifu;MO Linlin(PipeChina Research Institute of Science and Technology,Tianjin 300450,China)
出处
《石油工程建设》
2025年第1期54-58,63,共6页
Petroleum Engineering Construction
关键词
原油分子组成模型
物性预测
黏温曲线
molecular composition model of crude oil
physical property prediction
viscosity-temperature curve
作者简介
闫锋(1976-),男,河北定州人,高级工程师,2009年毕业于中国石油大学(北京)油气储运专业,博士,现主要从事油气管道储运工艺方向的研究工作。Email:yanfeng01@pipechina.com.cn。
