• DocumentCode
    3210865
  • Title

    Study on prediction method of minimum miscibility pressure in gas displacement

  • Author

    Jungang, Li

  • Author_Institution
    Coll. of Pet. Eng., Northeast Pet. Univ., Daqing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 Sept. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In recent years, an increasing effort has been put into the study of enhanced oil recovery (EOR) processes, especially miscible gas injection. A multiple-mixing-cell model is a discrete model of a continuous gas injection process in the slim tube experiment. A packed slim tube is discretized into a series of constant volume cells and the continuous gas injection is discretized into a series of constant batch volumes. In this approach, for nc components, we find that there are nc+1 constant-composition zones and nc-1 key tie lines. Upon increasing the batch number of the injected gas, these key tie lines appear in a reverse order, i.e., the initial tie line appears first and the injection tie line appears last. Predicted results from this proposed approach are shown to be in excellent agreement with slim tube data and other slim tube simulators presented in the literature.
  • Keywords
    oil drilling; solubility; vectors; continuous gas injection process; discrete model; enhanced oil recovery; gas displacement; minimum miscibility pressure; miscible gas injection; multiple mixing cell model; nc+1 constant composition zone; nc-1 key tie line; packed slim tube; prediction method; slim tube experiment; slim tube simulator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7705-0
  • Type

    conf

  • DOI
    10.1109/CINC.2010.5643804
  • Filename
    5643804