渣油四组分含量预测研究  

STUDY ON RESIDUE SARA CONTENTS PREDICTION

作　　者：刘四斌[1] 田松柏[1] 刘颖荣[1] 王京[1] 黄蔚霞[1] 

机构地区：[1]中国石化石油化工科学研究院

出　　处：《石油学报（石油加工）》2008年第1期95-100,共6页Acta Petrolei Sinica(Petroleum Processing Section)

基　　金：国家重点基础研究发展计划“973”项目(2006CB202501)资助

摘　　要：对常压和减压渣油的四组分质量分数(w(SARA))与密度差(Δd)、运动黏度对数(lnν)、残炭值(w(CCR))和硫质量分数(w(S))4个简单易测物性的相关性进行了考察。结果表明,饱和分含量与Δd有较强的负相关性;芳香分含量与w(S)相关性最好;胶质含量仅与lnν的相关性较好;沥青质含量与w(CCR)的相关性较强。采用逐步回归方法筛选出与各组分含量相关性最好的物性及物性组合因子,得到由这4个物性估算渣油四组分含量的8个预测模型。The correlativity between four physical properties, including Ad （Difference of density）. lnv （Logarithm of kinematic viscosity）.zv（CCR） （Mass fraction of carbon residue） and w（S）（Mass fraction of sulfur） and SARA mass fractions of atmospheric residue and vacuum residue was respectively discussed. The results showed that there was strong negative relativity between the mass fraction of saturate and Ad, the mass fraction of aromatic bad best correlation with the mass fraction of sulfur, the mass fraction of resin was only better correlated with lnv, the mass fraction of asphaltene had best correlation with w（CCR）. By using stepwise regression the four physical properties and their combination which was best correlation with the SARA mass fractions were selected, and eight prediction models were obtained for residue SARA mass fractions.

关 键 词：渣油 四组分 密度 运动黏度 残炭 硫质量分数 逐步回归 

分 类 号：TE622.5[石油与天然气工程—油气加工工程]