IDEAS home Printed from https://ideas.repec.org/a/wly/greenh/v10y2020i3p519-530.html
   My bibliography  Save this article

Uncertainty and sensitivity analysis of relative permeability curves for the numerical simulation of CO2 core flooding

Author

Listed:
  • Zhanpeng Zheng
  • Qingsong Ma
  • Pei Hu
  • Yongchen Song
  • Dayong Wang

Abstract

Various error sources exist in the specified relative permeability (kr) curves for numerical modeling of CO2/water core flooding process, including model selection, parameter estimation, and heterogeneity setting. In this study, we quantitatively investigate their effects on model predictions by a numerical sensitivity analysis. Numerical simulation results indicate: (1) The errors in residual gas saturation (Sgr) and residual liquid saturation (Slr) could significantly influence the estimation of the total volume (TPV) of injected CO2 when CO2/water displacement reaches a steady state. A change of Sgr or Slr by 0.1 can induce deviation in TPV up to 0.5 pore volume. (2) The change in Sgr could cause a bigger predictive deviation in local CO2 saturation (SCO2) than that in Slr. In the case of the same degree of change, the deviation of the former is almost twice as much as that of the latter. (3) The model predictions remain fairly consistent when utilizing either Corey's curve or Brooks–Corey curve, but become significantly different if changing to van Genuchten curve. In this case, the difference in TPV is greater than that caused by the errors in Sgr or Slr. The maximum deviation in the predicted local SCO2 exceeds 0.3, influencing the analysis of CO2 local trapping behavior. Comparatively, the local SCO2 buildup is only slight if van Genuchten curve is used, but obvious using Corey's curve. (4) kr heterogeneity only presents a small effect on the local SCO2 and could be reasonably ignored compared to the effects of the heterogeneity in capillary pressure and permeability. © 2020 Society of Chemical Industry and John Wiley & Sons, Ltd.

Suggested Citation

  • Zhanpeng Zheng & Qingsong Ma & Pei Hu & Yongchen Song & Dayong Wang, 2020. "Uncertainty and sensitivity analysis of relative permeability curves for the numerical simulation of CO2 core flooding," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(3), pages 519-530, June.
    • Handle: RePEc:wly:greenh:v:10:y:2020:i:3:p:519-530
    DOI: 10.1002/ghg.1977
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/ghg.1977
    Download Restriction: no
    File URL: https://libkey.io/10.1002/ghg.1977?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ning Wei & Magdalena Gill & Dustin Crandall & Dustin McIntyre & Yan Wang & Kathy Bruner & Xiaochun Li & Grant Bromhal, 2014. "CO 2 flooding properties of Liujiagou sandstone: influence of sub‐core scale structure heterogeneity," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 4(3), pages 400-418, June.
    2. Nathan Moodie & Feng Pan & Wei Jia & Brian McPherson, 2017. "Impacts of relative permeability formulation on forecasts of CO 2 phase behavior, phase distribution, and trapping mechanisms in a geologic carbon storage reservoir," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(2), pages 241-258, April.
    3. Nathan Moodie & Feng Pan & Wei Jia & Brian McPherson, 2017. "Impacts of relative permeability formulation on forecasts of CO 2 phase behavior, phase distribution, and trapping mechanisms in a geologic carbon storage reservoir," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(5), pages 958-962, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Liang Xu & Qi Li & Matthew Myers & Cameron White & Xiaomin Cao, 2022. "Migration of carbon dioxide in sandstone under various pressure/temperature conditions: From experiment to simulation," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 12(2), pages 233-248, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christine Doughty, 2017. "Introduction to the In Focus on simulation of geologic carbon sequestration with the TOUGH codes," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(2), pages 218-219, April.
    2. Xu, Liang & Li, Qi & Myers, Matthew & Cao, Xiaomin, 2023. "Investigation of the enhanced oil recovery mechanism of CO2 synergistically with nanofluid in tight glutenite," Energy, Elsevier, vol. 273(C).
    3. Pengfei Lv & Yu Liu & Junlin Chen & Lanlan Jiang & Bohao Wu & Shuyang Liu & Yongchen Song, 2017. "Pore†scale investigation of effects of heterogeneity on CO2 geological storage using stratified sand packs," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(6), pages 972-987, December.
    4. Ren, Bo & Trevisan, Luca, 2020. "Characterization of local capillary trap clusters in storage aquifers," Energy, Elsevier, vol. 193(C).
    5. Bing Bai & Xiaochun Li & Haiqing Wu & Yongsheng Wang & Mingze Liu, 2017. "A methodology for designing maximum allowable wellhead pressure for CO 2 injection: application to the Shenhua CCS demonstration project, China," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(1), pages 158-181, February.
    6. Pengfei Lv & Yu Liu & Lanlan Jiang & Yongchen Song & Bohao Wu & Jiafei Zhao & Yi Zhang, 2016. "Experimental determination of wettability and heterogeneity effect on CO 2 distribution in porous media," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 6(3), pages 401-415, 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:10:y:2020:i:3:p:519-530. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.