• DocumentCode
    179373
  • Title

    Research on ACO with TOPSIS Algorithm in Perforating Operation

  • Author

    Cuan Ying ; Wang Lifan

  • Author_Institution
    Sch. of Comput. Sci., Xi´an Shiyou Univ., Xian, China
  • fYear
    2014
  • fDate
    15-16 June 2014
  • Firstpage
    785
  • Lastpage
    788
  • Abstract
    As one of the important well completion methods in oil & gas exploitation, perforation has great influence on the productivity of oil and gas wells. It involves a variety of parameters and different combinations, which affects the perforating efficiency. In order to obtain an ideal perforating effect, the perforation parameters need to be optimized. Thus, based on the optimized combination of ACO and TOPSIS, an optimum model of perforation scheme is designed in this paper. The applicability and effectiveness of the new model is proved by the simulation experimental results and it provides a scientific guidance for the perforating operation aiming to raise the productivity of oil and gas wells.
  • Keywords
    ant colony optimisation; decision theory; gas industry; petroleum industry; well logging; ACO; TOPSIS algorithm; oil and gas exploitation; oil and gas well productivity; perforating efficiency; perforation parameter optimization; well completion methods; Algorithm design and analysis; Decision making; Educational institutions; Optimization; Petroleum; Productivity; Sequential analysis; ACO; Optimization techniques; Perforating operation; TOPSIS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Engineering Applications (ISDEA), 2014 Fifth International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-1-4799-4262-6
  • Type

    conf

  • DOI
    10.1109/ISDEA.2014.177
  • Filename
    6977713