• Title of article

    Correlation for predicting the molecular weight of Brazilian petroleum residues and cuts: An application for the simulation of a molecular distillation process

  • Author/Authors

    Liٌan، نويسنده , , Lamia Zuٌiga and Lima، نويسنده , , Nلdson Murilo Nascimento and Wolf Maciel، نويسنده , , Maria Regina and Maciel Filho، نويسنده , , Rubens and Medina، نويسنده , , Lيlian Carmen and Embiruçu، نويسنده , , Marcelo، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    8
  • From page
    78
  • To page
    85
  • Abstract
    In this work a correlation to predict the molecular weights of Brazilian heavy petroleum residues and cuts is developed. The residues were obtained from conventional distillation processes ASTM D 2892 (2005) and ASTM D 5236 (2003). The correlation was developed by adjusting experimental parameters of the API correlation (defined for light cuts). For the adjustment, molecular weight data of atmospheric residues (673.15 K+) of 14 heavy crude oils (API ≤ 25.5) obtained from a steady state refining process simulator (PETROX) were used. The adjusted correlation was validated with data from the molecular weights of atmospheric residues derived from 7 other heavy Brazilian crude oils and very good results were obtained, with an average absolute deviation of 2.20%. Furthermore, the predicted molecular weights and actual measured ones using Vapor Pressure Osmometry (VPO) of the 10 distillate cuts and 10 residues obtained by molecular distillation of atmospheric residues were compared. In general, improved results are provided by the developed correlation in relation to the conventional method, with a good correspondence between the predicted and experimental values for the cuts and residues studied here.
  • Keywords
    Molecular distillation , molecular weight , Specific gravity , Petroleum , Vapor pressure osmometry
  • Journal title
    Journal of Petroleum Science and Engineering
  • Serial Year
    2011
  • Journal title
    Journal of Petroleum Science and Engineering
  • Record number

    2215519