• DocumentCode
    1847576
  • Title

    Logging Data Application in Sanding prediction in Kelamayi Oilfield

  • Author

    Bian Long ; Zhao Lin ; Ma Dong ; Zhao Fei ; Xu Wei ; Sun Kai

  • Author_Institution
    Key Lab. of Drilling & Production Eng. for Oil & Gas, Yangtze Univ., Jingzhou, China
  • fYear
    2013
  • fDate
    21-23 June 2013
  • Firstpage
    1265
  • Lastpage
    1268
  • Abstract
    The Logging data of Kelamayi Oilfield are used to calculate the rock mechanical parameters, such as cohesion, angle of internal friction, elastic modulus, Poisson ratio and maximum level principal stress in this paper. Then the methods of sand factor, combination modulus, acoustic time and Schlumberger are applied to forecast sanding and calculate the critical drawdown pressure. Calculation results show that the possibility of Kexia Formation sand production is high. This research results provide quantitative basis for defining sand production in this block and the nearby, and guidance for reasonable formation of oil well work system.
  • Keywords
    petroleum industry; production management; rocks; sand; Kelamayi oilfield; Kexia formation sand production; Schlumberger; acoustic time; combination modulus; logging data application; rock mechanical parameters; sand factor; sanding prediction; well work system; Acoustics; Friction; Indexes; Petroleum; Production; Reservoirs; Rocks; interface drawdown pressure; rock mechanics parameter; sand prediction; well logging data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
  • Conference_Location
    Shiyang
  • Type

    conf

  • DOI
    10.1109/ICCIS.2013.335
  • Filename
    6643252