• DocumentCode
    537297
  • Title

    Design and Optimization of the Seal Ring of the Retrievable Bridge Plug Based on Improved Genetic Algorithm

  • Author

    Geng, Dai ; Zhang, Shimin ; Wang, Deguo

  • Author_Institution
    Fac. of Mech.-Electron. Eng., China Univ. of Pet., Beijing, China
  • fYear
    2010
  • fDate
    7-9 Nov. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    According to the demand of exploitating the poor-thin oil layer in Daqing oilfield, retrievable bridge plug is designed. The seal capacity and the clamping function which are respectively accomplished through the seal ring and the slip are the key techniques of bridge plug. For the aim of designing the seals better to generate an effective sealing effect against the well wall, firstly, the sealing structure of retrievable bridge plug is introduced. Then the sealing condition of seals is modeled with ABAQUS software in this paper, including the sensitivity analysis and calculation about the relationships among contact surface and contact pressure and the influence of the structure of seals on them. The elitist non -dominated sorting genetic algorithm NSGA-II has been adopted to do the optimization. Optimum structural parameter is obtained and the performance of withstanding pressure difference is improved. The sealing performance of the retrievable fracture bridge plug in deep well is guaranteed.
  • Keywords
    design engineering; genetic algorithms; mechanical engineering computing; programming languages; seals (stoppers); sensitivity analysis; slip; ABAQUS software; Daqing oilfield; NSGA-II; clamping function; contact pressure; contact surface; elitist nondominated sorting genetic algorithm; retrievable fracture bridge plug; seal capacity; seal ring optimization; sealing effect; sealing structure; sensitivity analysis; thin oil layer; Bridges; Genetic algorithms; Optimization; Petroleum; Plugs; Seals; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
  • Conference_Location
    Henan
  • Print_ISBN
    978-1-4244-7159-1
  • Type

    conf

  • DOI
    10.1109/ICEEE.2010.5661272
  • Filename
    5661272