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基于常规物性的减压蜡油烃类组成预测研究
引用本文:刘四斌,田松柏,刘颖荣,王京. 基于常规物性的减压蜡油烃类组成预测研究[J]. 石油炼制与化工, 2007, 38(9): 18-22
作者姓名:刘四斌  田松柏  刘颖荣  王京
作者单位:中石化荆门分公司 石油化工科学研究院一室
摘    要:提出利用蜡油的密度、折光、分子量、硫含量以及氢含量等5个常规物性预测其13个烃类组成,考察了这些物性的交互作用对烃类组成预测的影响,采用逐步回归方法的得到了较为满意的预测模型。

关 键 词:烃类组成  常规物性  逐步回归  
收稿时间:2007-01-15
修稿时间:2007-01-15

Studies on Prediction of Hydrocarbon Types Composition of VGO Based on Normal Physical Characteristics
Liu Sibin,Tian Songbai,Liu Yingrong,Wang Jing. Studies on Prediction of Hydrocarbon Types Composition of VGO Based on Normal Physical Characteristics[J]. Petroleum Processing and Petrochemicals, 2007, 38(9): 18-22
Authors:Liu Sibin  Tian Songbai  Liu Yingrong  Wang Jing
Affiliation:1. Research Institute of Petroleum Processing, Beij ing 100083 ; 2. SINOPEC Jingmen Company
Abstract:Using 5 conventional physical chemical indexes of VGO including density,refractiveindex,molecular weight, the contents of sulfur and hydrogen to obtain 5 regression factors and theirrelated 15 interacted factors for characterizing the hydrocarbon compositions. A regression model for predicting 13 types of VGO hydrocarbon compositions was set up by stepwise regression method,and the predicted value agreed quite well with the actual test data.
Keywords:vacuum   wax oil   hydrocarbon   composition   forecast   physical/chemical property
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