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石油馏分苯胺点的新数学关联式 被引量:1

New Mathematic Correlation for Predicting the Anline Point of Petroleum Fractions
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摘要 依据65份石油馏分的API°和中平均沸点数据,馏分选取范围广,包括石油的煤油,柴油和减压馏分油,拟合得出苯胺点的数学关联式,相关系数R为0.9914。通过计算结果与实际值对比,整体误差小,显示苯胺点计算公式准确度高,油品适用面大,实际来源数据容易得到,可以保证苯胺点计算需求,能够减轻实际测试苯胺点的人力和物资成本。苯胺点公式可以用在石油化工工艺计算和设计中。 According to the API° and medium average boiling point data of 65 petroleum fractions, the range of fractions is wide, including petroleum kerosene, diesel oil and vacuum distillate oil. The mathematical correlation of aniline points is obtained, and the correlation coefficient R is 0.9914. By comparing the calculated results with the actual values, the overall error is small, indicating that the aniline point calculation formula has high accuracy, the oil application surface is large, and the actual source data is easy to obtain, ensuring the calculation of the aniline point, and reducing the labor and material costs of the actual test aniline point. The aniline point formula can be used in petrochemical process calculations and design.
作者 陈雄华 刘振宇 李禄建 Chen Xionghua;Liu Zhenyu;Li Lujian(Research Institute, SINOPEC, Maoming 525000, China)
出处 《广东化工》 CAS 2019年第8期57-58,71,共3页 Guangdong Chemical Industry
关键词 苯胺点 石油馏分 数学关联式 aniline point petroleum fraction mathematical correlation
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  • 1刘国柱,沈慧明,曲海杰,张香文,米镇涛.喷气燃料的化学组成与理化性质的定量关系研究[J].燃料化学学报,2007,35(6):737-742. 被引量:11
  • 2梅虎,周原,孙立力,李志良.氨基酸结构描述子矢量VHSE及其在肽QSAR中的应用[J].化学通报,2005,68(7):534-540. 被引量:27
  • 3李瑞丽,王从岗,向正为,寿德清.石油重馏分油临界性质预测方法的研究[J].石油炼制与化工,1995,26(9):58-63. 被引量:4
  • 4张艳梅,王从岗,寿德清,万重英,王维刚.胜利等国产原油>350℃重馏分油物性预测方法的研究[J].石油炼制与化工,1996,27(12):58-63. 被引量:2
  • 5GB/T 262-1988 Petroleum products-Determination of aniline point (石油产品苯胺点测定法)[S].
  • 6QUINTERO F A, PATEL S J, MUNOZ F, et al. Review of existing QSAR/QSPR models developed for properties used in hazardous chemicals classification system[J]. Industrial & Engineering Chemistry Research, 2012, 51: 16101-16115.
  • 7KATRITZKY A R, FARA D C. How chemical structure determines physical, chemical, and technological properties: an overview illustrating the potential of quantitative structure-property relationships for fuels science[J]. Energy Fuels, 2005, 19: 922-935.
  • 8KATRITZKY A R, LOBANOV V S, KARELSON M. QSPR: the correlation and quantitative prediction of chemical and physical properties from structure[J]. Chemical Society Reviews, 1995, 24(4): 279-287.
  • 9WANG Liansheng(王连生), HAN Shuokui(韩朔睽). Molecular structrues, properties and activities (分子结构、性质与活性)[M]. Beijing: Chemical Industry Press, 1997.
  • 10GHARAGHEIZI F, MIRKHANI S A, ILANI-KASHKOULI P, et al. Determination of the normal boiling point of chemical compounds using a quantitative structure-property relationship strategy: application to a very large dataset[J]. Fluid Phase Equilibria, 2013, 354(36): 250-258.

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