• DocumentCode
    1981414
  • Title

    Enhancing Sweep Efficiency Using Streamline Simulation

  • Author

    Chen Xiao-qi ; Yin Hong-jun ; Hua, Wang ; Wang Hua

  • Author_Institution
    Key Lab. of Enhanced Oil & Gas Recovery, Northeast Pet. Univ., Daqing, China
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In many applications, streamline simulation shows particular advantages over finite-difference simulation. By the advantages of streamline simulation such as its ability to display paths of fluid flow and acceleration factor in simulation, the description of flooding process gets more visibility. The communication between wells and flooding area has been represented appropriately. In low permeability reservoirs fracturing has been applied to stimulate. But some of the well patterns are not appropriate to fracture. Through streamline simulation this paper presents that five-spot water flooding pattern does not suit the naturally fractured reservoir. In this study authors show that some artificial fractures even reduce the sweep efficiency. And a practical relationship between the well and row distance and the degree of anisotropy is given. This method has been applied to the z2 reservoir in Daqing Oilfield. The production history of this reservoir is about 2 years. The reservoir is maintained above bubble point so the simulation meets the slight compressibility assumption. New well are placed follow this relationship.
  • Keywords
    digital simulation; hydrocarbon reservoirs; production engineering computing; Daqing oilfield; acceleration factor; fluid flow paths; reservoirs fracturing; streamline simulation; sweep efficiency enhancement; water flooding pattern; well pattern; Anisotropic magnetoresistance; Equations; Floods; Mathematical model; Petroleum; Production; Reservoirs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Applications, 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5142-5
  • Electronic_ISBN
    978-1-4244-5143-2
  • Type

    conf

  • DOI
    10.1109/ITAPP.2010.5566482
  • Filename
    5566482