CAJ | 학술논문

建立了利用物性数据对石脑油组成进行预测的方法，根据对石脑油样本的整理，选取正构烷烃、异构烷烃、环烷烃和芳烃4个族的54个真实组分来表示石脑油的组成，利用密度、折射率、族组成数据（PIONA值）以及恩式蒸馏曲线等物性数据建立方程组，对该方程组求解得到54个组分的质量分数。选择典型直馏石脑油样品，根据以上方法建立方程组并求解，得到石脑油中各组分的质量分数，并与实测结果进行对比。结果表明，正构烷烃、异构烷烃及环烷烃含量的计算平均误差分别为6．6％，8．5％，5．9％，其中，石脑油中含量较高的C6～C11组分中正构烷烃、异构烷烃和环烷烃含量的计算平均误差分别为3．2％，5．2％，4．4％，说明所建立的模型基本可以反映直馏石脑油的烃类组成分布情况。
건립료이용물성수거대석뇌유조성진행예측적방법，근거대석뇌유양본적정리，선취정구완경、이구완경、배완경화방경4개족적54개진실조분래표시석뇌유적조성，이용밀도、절사솔、족조성수거（PIONA치）이급은식증류곡선등물성수거건립방정조，대해방정조구해득도54개조분적질량분수。선택전형직류석뇌유양품，근거이상방법건립방정조병구해，득도석뇌유중각조분적질량분수，병여실측결과진행대비。결과표명，정구완경、이구완경급배완경함량적계산평균오차분별위6．6％，8．5％，5．9％，기중，석뇌유중함량교고적C6～C11조분중정구완경、이구완경화배완경함량적계산평균오차분별위3．2％，5．2％，4．4％，설명소건립적모형기본가이반영직류석뇌유적경류조성분포정황。
A method for predicting naphtha composition based on the conventional physical proper﹣ties was established. Based on the data base of RIPP,54 real components were chosen to represent the composition of naphtha,which is divided into 4 groups:n﹣paraffins,iso﹣paraffins,naphthenic and aro﹣matics. A set of simulation equations were built using conventional properties of density,refractive in﹣dex,group composition,and Engler distillation curve of 4 groups to get the mass fractions of 54 compo﹣nents and then compared with the measured results. The results show that the calculated compositions agree well with the measured results. The calculation average error for corresponding normal alkanes, iso﹣alkanes,cyclanes is 6. 6%,8. 5%,5. 9%,respectively. The error of alkanes,iso﹣alkane and cycla﹣nes contents in C6—C11 is 3. 2%,5. 2%,4. 4%,respectively. The above results demonstrate that the established model equations can reflect well the hydrocarbon distribution of straight﹣run naphtha.