• DocumentCode
    2118854
  • Title

    Numerical Simulation Research on Optimizing Monitoring Well Point of Reservior Pressure

  • Author

    Yin, Daiyin ; Wu, Tingting ; Wang, Huan

  • Author_Institution
    Fac. of Pet. Eng., Daqing Pet. Inst., Daqing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    7-8 Aug. 2010
  • Firstpage
    28
  • Lastpage
    31
  • Abstract
    During the production of oilfield, it is necessary to understand the strata pressure in the recovery process, which is the so-called current formation pressure. However, how to choose the pressure monitoring well point correctly is one of the important tasks in the oilfield development. Usually the simplest method of understanding the strata pressure is actual measurement, but in order to get the actual measured strata pressure, the well should be shut for a long time, which has a great influence on production. In this paper, the average strata pressure is predicted by well test interpretation method and Pisman method, average strata pressure of volume weighted method which are both used in reservoir numerical simulation. The actual pressure distribution of the oilfield in the east of Xing-1~2 district is calculated using the above three methods. After contrasting and analyzing the received results from the three methods, the well point for monitoring the reservoir pressure is optimized through comprehensive evaluation.
  • Keywords
    hydrocarbon reservoirs; numerical analysis; Pisman method; interpretation method; numerical simulation research; oilfield development; recovery process; reservior pressure monitoring; well point monitoring; Monitoring; Numerical simulation; Petroleum; Pressure measurement; Refining; Reservoirs; numerical simulation; reservoir pressure monitoring; well test interpretation;
  • 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.2010.88
  • Filename
    5573881