• DocumentCode
    2118863
  • Title

    Numerical Simulation Research on Well Pattern Adaptability of Low Permeability Oilfield

  • Author

    Zhang, Chengli ; Wang, Huan ; Wei, Mingguo

  • Author_Institution
    Fac. of Pet. Eng., Daqing Pet. Inst., Daqing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    7-8 Aug. 2010
  • Firstpage
    47
  • Lastpage
    50
  • Abstract
    The geological model is established with Software Petrel. Then by Eclipse, numerical simulation is done. The development index of block well pattern and remaining oil change condition of well pattern are forecasted. At the same time, comparisons are done between theoretical relationship curve and actual data curve of recovery extent and water cut for the whole block and sublayers. Adaptability is analyzed for block well pattern. Results show that when the water cut of the whole block arrives above 50%, there is lifting liquid capability, to a maximum of 1.5 times. Numerical simulation predicts that, when the comprehensive water cut arrives at 98%, there are still a lot of remaining oil pool areas; for poor well pattern adaptability, it is necessary to adjust block network infilling and water injection pattern. The results provide basis for the well pattern optimization adjustment and also provide theoretical direction for the actual production of other blocks.
  • Keywords
    numerical analysis; oil technology; optimisation; permeability; Software Petrel; block well pattern; lifting liquid capability; low permeability oilfield; numerical simulation research; pattern optimization; well pattern adaptability; Indexes; Information science; Numerical simulation; Permeability; Petroleum; Production; Reservoirs; low permeability oilfield; numerical simulation; remaining oil distribution; well pattern adaptability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Management Engineering (ISME), 2010 International Conference of
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-7669-5
  • Electronic_ISBN
    978-1-4244-7670-1
  • Type

    conf

  • DOI
    10.1109/ISME.2010.183
  • Filename
    5573882