• Title of article

    Prediction model of elemental sulfur solubility in sour gas mixtures

  • Author/Authors

    Hu، نويسنده , , Jinghong and Zhao، نويسنده , , Jin-Zhou and Wang، نويسنده , , Lei and Meng، نويسنده , , Ling-Ye and Li، نويسنده , , Yong-Ming، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    8
  • From page
    31
  • To page
    38
  • Abstract
    Predicting the solubility of elemental sulfur in sour gas mixtures is one of the most important issues in sour gas reservoirs development. Many experiments have shown the relationship between sulfur solubility and sour gas properties at different temperatures and pressures. However, the solubility model that can be used to predict sulfur solubility at different reservoir temperatures and pressures is rare. Nowadays, Robertsʹs solubility formula, according to fitting two groups of experiment data, is often used in sour gas reservoirs. Thus, building a solubility formula that contains more experimental data and experimental conditions is very critical. In this paper, based on the correlation formulas for the solubility of various solutes in super critical solvents, a new sulfur solubility formula is built by using a large number of experimental data. Through the comparison and analysis for the new solubility formula and Robertsʹs solubility formula, the calculation results utilizing the new solubility formula are closer to the experimental data. Therefore, the new formula can be used to predict sulfur solubility in sour gas reservoirs at different temperatures and pressures accurately. The new solubility model can calculate the change of sulfur solubility in sour gas well production and help reservoir engineers to develop the plan of sour gas reservoir development.
  • Keywords
    experimental data , prediction model , Elemental sulfur , solubility , Sour gas reservoirs
  • Journal title
    Journal of Natural Gas Science and Engineering
  • Serial Year
    2014
  • Journal title
    Journal of Natural Gas Science and Engineering
  • Record number

    2233805