• DocumentCode
    2467923
  • Title

    Prediction Model of Sulfur Precipitation in Gas Well with High H2S Content

  • Author

    Li Wen-hua ; Liu Jing-cheng ; Zeng Shun-peng ; Zhang Qi-ming ; Chun-bi, Xu

  • Author_Institution
    Inst. of Oil & Gas Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    1349
  • Lastpage
    1352
  • Abstract
    For the gas well with high H2S content,the process of sulfur deposition including the sulfur dissolution, precipitation, migration and deposition is a quite complex process. Relative to the solubility of sulfur under certain temperature and the pressure, the sulfur will be separated out when the content of sulfur in high sour gas is surpassed. Based on the theories of mass conservation, momentum conservation, energy conservation, and the transfer of heat in the radial directions of well bore, we established the prediction model of the sulfur precipitation in the high H2S content gas well by using Roberts thermal empirical equation. In view of the examples, the sulfur separation at different levels of production is calculated and discussed by using the self-programming computer.
  • Keywords
    heat transfer; hydrocarbon reservoirs; natural gas technology; precipitation (physical chemistry); separation; sulphur compounds; Roberts thermal empirical equation; energy conservation; gas well; heat transfer; mass conservation theory; momentum conservation; sulfur deposition; sulfur dissolution; sulfur migration; sulfur precipitation; sulfur separation; Equations; Heat engines; Heat transfer; Mathematical model; Predictive models; Production; Temperature measurement; gas well with high H2S content; prediction model; sulfur deposition; sulfur precipitation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8814-8
  • Electronic_ISBN
    978-0-7695-4270-6
  • Type

    conf

  • DOI
    10.1109/ICCIS.2010.329
  • Filename
    5709534