IDEAS home Printed from https://ideas.repec.org/a/wly/greenh/v6y2016i2p197-217.html
   My bibliography  Save this article

CO 2 solubility measurements in brine under reservoir conditions: A comparison of experimental and geochemical modeling methods

Author

Listed:
  • Luc Steel
  • Qi Liu
  • Eric Mackay
  • M. Mercedes Maroto‐Valer

Abstract

The dissolution of CO 2 in brine (solubility trapping) is one of the most secure and permanent trapping mechanisms when considering CO 2 geological storage. In addition, CO 2 dissolution in brine is an important mechanism of CO 2 enhanced oil recovery as it improves sweep efficiency and increases oil displacement. Currently, there is a range of experimental methods that has been used to measure CO 2 solubility in brine and a critical review of these methods is presented here. Several different geochemical models that can be used to calculate CO 2 solubility in brine are also reviewed and the importance of selecting the correct equation of state (EoS) is addressed. Furthermore, the validity of the experimental results was ascertained through a comparison of the published experimental results with those produced through geochemical modeling. The geochemical modeling software, HydraFLASH, can be used to accurately calculate CO 2 solubilities under a number of conditions provided the correct EoS is selected. For the purpose of CO 2 ‐water systems, the Valderrama‐Patel‐Teja EoS is the most accurate as it is designed to be used for systems containing polar and non‐polar compounds. The published experimental results were compared with those obtained through the geochemical modeling, to ascertain the most accurate means of measuring CO 2 solubility. © 2016 Society of Chemical Industry and John Wiley & Sons, Ltd

Suggested Citation

  • Luc Steel & Qi Liu & Eric Mackay & M. Mercedes Maroto‐Valer, 2016. "CO 2 solubility measurements in brine under reservoir conditions: A comparison of experimental and geochemical modeling methods," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 6(2), pages 197-217, April.
  • Handle: RePEc:wly:greenh:v:6:y:2016:i:2:p:197-217
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/ghg.1590
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Ji Ho Lee & Tae Hong Kim & Kun Sang Lee, 2018. "Hybrid CO2 EOR using polymer‐assisted carbonated low salinity waterflood to improve CO2 deliverability and mobility," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 8(3), pages 444-461, June.

    More about this item

    Statistics

    Access and download statistics

    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:wly:greenh:v:6:y:2016:i:2:p:197-217. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)2152-3878 .

    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.