文献类型：期刊文献

中文题名：Establishment of the model for composition prediction of light petroleum fractions and its application

英文题名：Establishment of the model for composition prediction of light petroleum fractions and its application

作者：Ni, Lijun[1]; Zhang, Liguo[1]; Ni, Jinfang[1]; Yuan, Weikang[1]

机构：[1]E China Univ Sci & Technol, Dept Chem, Fac Sci, Shanghai 200237, Peoples R China

年份：1999

卷号：9

期号：5

起止页码：359

中文期刊名：Progress in Natural Science:Materials International

外文期刊名：PROGRESS IN NATURAL SCIENCE

收录：;EI(收录号：1999064706068);Scopus;WOS:【SCI-EXPANDED(收录号:WOS:000080568900006)】；

基金：Project supported by the National Natural Science Foundation of China (Grant No. 29306039).

语种：英文

中文关键词：molecular;design;prediction;multicomponent;system;chemometrics;petroleum;fractions;prediction;of;composition.

外文关键词：molecular design; prediction multicomponent system; chemometrics; petroleum fractions; prediction of composition

摘要：The problem of composition prediction of petroleum fractions was studied. Molecular connectivity index 1 X was used to describe the molecular structure of hydrocarbons Relationships between some state parameters of SRK (Soave-Redlich-Kwong) equation and 1 X were established. On the basis of these relationships, a theoretical model for predicting the composition of petroleum fractions according to their properties was proposed. Correctional Powell method was used to solve the model. Computational results of five examples indicate that the compositions of mam components agree well with the measured data, which prove the feasibility and reliability of the model.
The problem of composition prediction of petroleum fractions was studied. Molecular connectivity index (1) chi was used to describe the molecular structure of hydrocarbons. Relationships between some slate parameters of SRK (Soave-Redlich-Kwong) equation and (1) chi were established. On the basis of these relationships, a theoretical model for predicting the composition of petroleum fractions according to their properties was proposed. Correctional Powell method was used to solve the model. Computational results of five examples indicate that the compositions of main components agree well with the measured data, which prove the feasibility and reliability of the model.