IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i23p7846-d685616.html
   My bibliography  Save this article

A Modified Multiple-Mixing-Cell Method with Sub-Cells for MMP Determinations

Author

Listed:
  • Lingfei Xu

    (School of Mining and Petroleum Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada)

  • Huazhou Li

    (School of Mining and Petroleum Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada)

Abstract

Minimum miscible pressure (MMP) is an essential design parameter of gas flooding for enhanced oil recovery (EOR) applications. Researchers have developed a number of methods for MMP computations, including the analytical methods, the slim-tube simulation method, and the multiple-mixing-cell (MMC) method. Among these methods, the MMC method is widely accepted for its simplicity, robustness, and moderate computational cost An important version of the MMC method is the Jaubert et al. method which has a much lower computational cost than the slim-tube simulation method. However, the original Jaubert et al. method suffers several drawbacks. One notable drawback is that it cannot be applied to the scenario where the oil-gas MMP is lower than the saturation pressure of the crude oil. In this work, we present a modified MMC method that is more versatile and robust than the original version. Our method can handle the scenario where the oil-gas MMP is lower than the saturation pressure of the crude oil. Besides, we propose a modified MMC model that can reduce the computational cost of MMP estimations. This modified model, together with a newly proposed pressure search algorithm, increases the MMP estimation accuracy of the modified method. We demonstrate the good performance of the modified MMC method by testing it in multiple case studies. A good agreement is obtained between the MMPs calculated by the modified method and the tie-line-based ones from the literature.

Suggested Citation

  • Lingfei Xu & Huazhou Li, 2021. "A Modified Multiple-Mixing-Cell Method with Sub-Cells for MMP Determinations," Energies, MDPI, vol. 14(23), pages 1-18, November.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:23:p:7846-:d:685616
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/23/7846/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/23/7846/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Haishui Han & Xinglong Chen & Zemin Ji & Junshi Li & Weifeng Lv & Qun Zhang & Ming Gao & Hao Kang, 2022. "Experimental Characterization of Oil/Gas Interface Self-Adjustment in CO 2 -Assisted Gravity Drainage for Reverse Rhythm Reservoir," Energies, MDPI, vol. 15(16), pages 1-16, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:23:p:7846-:d:685616. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.