• DocumentCode
    2206307
  • Title

    Application of Computer Streamline Simulation Technique in Oilfield

  • Author

    Yin, Daiyin ; Wang, Huan

  • Author_Institution
    Fac. of Pet. Eng., Daqing Pet. Inst., Daqing, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    4762
  • Lastpage
    4765
  • Abstract
    With the rapid development of computer, applied mathematics and reservoir engineering, which have provided a technology platform for the scientific management, digitalization and informationization of reservoir, the integration research of geological modeling and numerical simulation is more and more emphasized in oilfield. In this paper, the mathematical theory of streamline simulation is given. This method has high computational speed and strong convergence, and it can be used to select the optimal model from random geological models quickly. In this article, taking Xing-5 region of Daqing Oilfield as an example, three equal probability models are established by sequential Gaussian random simulation technique, and the streamline simulation for the three models is carried out. It reproduces the historical flow performance of liquid in the reservoir. The three equal probability random simulation models have been selected optimally. Simulation results show that the stochastic geological model 1 is the best one and its streamlines chart is given. It is easy to see the direction and amount of fluid flowing from injectors to producers with streamlines, and the connectivity between injectors and producers is also identified with high accuracy.
  • Keywords
    hydrocarbon reservoirs; numerical analysis; petroleum industry; production engineering computing; random processes; stochastic processes; computational speed; computer streamline simulation technique; digitalization; informationization; integration research; numerical simulation; oilfield; probability random simulation; random geological model; scientific management; sequential Gaussian random simulation technique; stochastic geological model; strong convergence; Application software; Computational modeling; Computer applications; Computer simulation; Engineering management; Geology; Hydrocarbon reservoirs; Mathematics; Research and development management; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.326
  • Filename
    5454468