• DocumentCode
    1725902
  • Title

    Productivity prediction method for fractured wells in extra-low permeability oil reservoirs

  • Author

    Zeng Ya-qin ; Huang Wei ; Niu Cai-yun ; Zhao Zhi-cheng ; Yang Li-ping

  • Author_Institution
    Oil & Gas Technol. Res. Inst., Changqing Oilfield Co., Xi´an, China
  • fYear
    2011
  • Firstpage
    382
  • Lastpage
    384
  • Abstract
    Inflow performance relationship (IPR) is the foundation of optimal designing for operation parameters of oil wells. A prediction method is proposed for evaluating the inflow performance relationship of fractured wells in extra-low permeability-deformed media oil reservoirs. Specifically, an elliptic flow mathematical model is constructed in the situation that the well inflow performance of fractured well are divided into two parts in which the seepage flow from oil layer goes to the fracture and seepage flow from fracture heads to bottom-hole. Additionally, the changes of the permeability and fluid viscosity with pressure are taken into account. The feasibility of the above method is shown by an application example.
  • Keywords
    fracture; hydrocarbon reservoirs; mathematical analysis; permeability; prediction theory; viscosity; elliptic flow mathematical model; extra-low permeability oil reservoirs; fluid viscosity; fractured oil wells; inflow performance relationship; oil reservoirs; productivity prediction method; seepage flow; elliptic flow mathematical model; extra-low permeability oil reservoirs; fractured well; productivity prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-61284-490-9
  • Type

    conf

  • DOI
    10.1109/GSIS.2011.6044037
  • Filename
    6044037