IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v266y2023ics0360544222032145.html
   My bibliography  Save this article

A novel strategy to improve steam heat utilization and reduce carbon emissions during heavy oil development

Author

Listed:
  • Du, Liping
  • Li, Binfei
  • Ji, Yanmin
  • Gai, Pingyuan
  • Lu, Teng
  • Li, Boliang
  • Wang, Jian

Abstract

In recent years, the green transformation of the traditional energy industry and the reduction of carbon emissions have attracted widespread societal attention. In the thermal recovery process of heavy oil, the low heat utilization rate has always been the bottleneck restricting its production. In addition, the associated flue gas emissions also pose a considerable challenge to environmental protection. In this paper, flue gas and SiO2 aerogel were jointly applied to reduce steam heat loss while achieving exhaust gas sequestration. Condensation heat transfer experiments were carried out to explore the mechanism of the two affecting the heat dissipation process of steam liquefaction. A series of displacement experiments with different injection methods in a one-dimensional sandpack were performed to select combinations of developing heavy oil with high efficiency and low carbon. By detecting the temperature changes of the model and calculating the final storage volume, the effects of promoting steam chamber expansion and flue gas sequestration were evaluated. The results showed that the aerogel adsorption layer could change the wettability of the condensing surface, thereby showing the characteristics of film condensation. Flue gas molecules could be captured by aerogel nanofluids, further exerting a synergistic thermal insulation effect, and the temperature of the deep reservoir increased by 7.7 °C. Simultaneously, the crude oil recovery increased by 8.8% compared with pure steam flooding. Moreover, the numerous nanoparticle-stabilized foams generated via this method were noted as an essential way to sequester carbon in a high water-cut formation, and the final sequestration rate reached 77.4%.

Suggested Citation

  • Du, Liping & Li, Binfei & Ji, Yanmin & Gai, Pingyuan & Lu, Teng & Li, Boliang & Wang, Jian, 2023. "A novel strategy to improve steam heat utilization and reduce carbon emissions during heavy oil development," Energy, Elsevier, vol. 266(C).
  • Handle: RePEc:eee:energy:v:266:y:2023:i:c:s0360544222032145
    DOI: 10.1016/j.energy.2022.126328
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222032145
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.126328?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pang, Zhanxi & Wang, Luting & Yin, Fanghao & Lyu, Xiaocong, 2021. "Steam chamber expanding processes and bottom water invading characteristics during steam flooding in heavy oil reservoirs," Energy, Elsevier, vol. 234(C).
    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. Zhang, Jun, 2023. "Performance of high temperature steam injection in horizontal wells of heavy oil reservoirs," Energy, Elsevier, vol. 282(C).

    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. Lina Zhang & Dianfa Du & Yaozu Zhang & Xin Liu & Jingang Fu & Yuan Li & Jianhua Ren, 2022. "Steam Cavity Expansion Model for Steam Flooding in Deep Heavy Oil Reservoirs," Energies, MDPI, vol. 15(13), pages 1-15, June.
    2. Yong Huang & Wulin Xiao & Sen Chen & Boliang Li & Liping Du & Binfei Li, 2022. "A Study on the Adaptability of Nonhydrocarbon Gas-Assisted Steam Flooding to the Development of Heavy Oil Reservoirs," Energies, MDPI, vol. 15(13), pages 1-15, June.
    3. Wang, Gang & Xie, Shuliang & Huang, Qiming & Wang, Enmao & Wang, Shuxin, 2023. "Study on the performances of fluorescent tracers for the wetting area detection of coal seam water injection," Energy, Elsevier, vol. 263(PE).
    4. Li, Xiaoyu & Sun, Xiaofei & Cai, Jiaming & Zhang, Qingquan & Pan, Xianggang & Zhang, Yanyu, 2023. "Experimental investigation on supercritical multi-thermal fluid flooding using a novel 2-dimensional model," Energy, Elsevier, vol. 283(C).

    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:eee:energy:v:266:y:2023:i:c:s0360544222032145. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.