IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i16p5076-d616694.html
   My bibliography  Save this article

Technical and Economic Evaluation of CO 2 Capture and Reinjection Process in the CO 2 EOR and Storage Project of Xinjiang Oilfield

Author

Listed:
  • Liang Zhang

    (School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
    Key Laboratory of Unconventional Oil & Gas Development, China University of Petroleum (East China), Ministry of Education, Qingdao 266580, China)

  • Songhe Geng

    (School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
    Key Laboratory of Unconventional Oil & Gas Development, China University of Petroleum (East China), Ministry of Education, Qingdao 266580, China)

  • Linchao Yang

    (School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
    Key Laboratory of Unconventional Oil & Gas Development, China University of Petroleum (East China), Ministry of Education, Qingdao 266580, China)

  • Yongmao Hao

    (School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
    Key Laboratory of Unconventional Oil & Gas Development, China University of Petroleum (East China), Ministry of Education, Qingdao 266580, China)

  • Hongbin Yang

    (School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
    Key Laboratory of Unconventional Oil & Gas Development, China University of Petroleum (East China), Ministry of Education, Qingdao 266580, China)

  • Zhengmiao Dong

    (Institute of Engineering and Technology, Xinjiang Oilfield Company, Karamay 834000, China)

  • Xian Shi

    (School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China)

Abstract

CO 2 capture and reinjection process (CCRP) can reduce the used CO 2 amount and improve the CO 2 storage efficiency in CO 2 EOR projects. To select the best CCRP is an important aspect. Based on the involved equipment units of the CCRP, a novel techno-economic model of CCRP for produced gas in CO 2 EOR and storage project was established. Five kinds of CO 2 capture processes are covered, including the chemical absorption using amine solution (MDEA), pressure swing adsorption (PSA), low-temperature fractionation (LTF), membrane separation (MS), and direct reinjection mixed with purchased CO 2 (DRM). The evaluation indicators of CCRP such as the cost, energy consumption, and CO 2 capture efficiency and purity can be calculated. Taking the pilot project of CO 2 EOR and storage in XinJiang oilfield China as an example, a sensitivity evaluation of CCRP was conducted based on the assumed gas production scale and the predicted yearly gas production. Finally, the DRM process was selected as the main CCRP associated with the PSA process as an assistant option. The established model of CCRP can be a useful tool to optimize the CO 2 recycling process and assess the CO 2 emission reduction performance of the CCUS project.

Suggested Citation

  • Liang Zhang & Songhe Geng & Linchao Yang & Yongmao Hao & Hongbin Yang & Zhengmiao Dong & Xian Shi, 2021. "Technical and Economic Evaluation of CO 2 Capture and Reinjection Process in the CO 2 EOR and Storage Project of Xinjiang Oilfield," Energies, MDPI, vol. 14(16), pages 1-27, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5076-:d:616694
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/16/5076/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/16/5076/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yun, Seokwon & Oh, Se-Young & Kim, Jin-Kuk, 2020. "Techno-economic assessment of absorption-based CO2 capture process based on novel solvent for coal-fired power plant," Applied Energy, Elsevier, vol. 268(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. Alexey Sorokin & Alexander Bolotov & Mikhail Varfolomeev & Ilgiz Minkhanov & Azat Gimazov & Evgeny Sergeyev & Angelica Balionis, 2021. "Feasibility of Gas Injection Efficiency for Low-Permeability Sandstone Reservoir in Western Siberia: Experiments and Numerical Simulation," Energies, MDPI, vol. 14(22), pages 1-12, November.

    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. Meng, Wenliang & Wang, Dongliang & Zhou, Huairong & Yang, Yong & Li, Hongwei & Liao, Zuwei & Yang, Siyu & Hong, Xiaodong & Li, Guixian, 2023. "Carbon dioxide from oxy-fuel coal-fired power plant integrated green ammonia for urea synthesis: Process modeling, system analysis, and techno-economic evaluation," Energy, Elsevier, vol. 278(C).
    2. Ren, Siyue & Feng, Xiao & Wang, Yufei, 2021. "Emergy evaluation of the integrated gasification combined cycle power generation systems with a carbon capture system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    3. Wu, Yunyun & Lou, Jiahui & Wang, Yihan & Tian, Zhenyu & Yang, Lingzhi & Hao, Yong & Liu, Guohua & Chen, Heng, 2024. "Performance evaluation of a novel photovoltaic-thermochemical and solid oxide fuel cell-based distributed energy system with CO2 capture," Applied Energy, Elsevier, vol. 364(C).
    4. Tian, Zhen & Zhou, Yihang & Zhang, Yuan & Gao, Wenzhong, 2024. "Design principle, 4E analyses and optimization for onboard CCS system under EEDI framework: A case study of an LNG-fueled bulk carrier," Energy, Elsevier, vol. 295(C).
    5. Asadi, Javad & Kazempoor, Pejman, 2024. "Economic and operational assessment of solar-assisted hybrid carbon capture system for combined cycle power plants," Energy, Elsevier, vol. 303(C).
    6. Park, Haryn & Kim, Jin-Kuk & Yi, Sung Chul, 2023. "Optimization of site utility systems for renewable energy integration," Energy, Elsevier, vol. 269(C).
    7. Wang, Yihan & Wen, Zongguo & Xu, Mao & Kosajan, Vorada, 2024. "The carbon-energy-water nexus of the carbon capture, utilization, and storage technology deployment schemes: A case study in China's cement industry," Applied Energy, Elsevier, vol. 362(C).
    8. Yun, Seokwon & Lee, Sunghoon & Jang, Mun-Gi & Kim, Jin-Kuk, 2021. "Techno-economic assessment of CO2 capture integrated coal-fired power plant with energetic analysis," Energy, Elsevier, vol. 236(C).
    9. Wen, Chuang & Li, Bo & Ding, Hongbing & Akrami, Mohammad & Zhang, Haoran & Yang, Yan, 2022. "Thermodynamics analysis of CO2 condensation in supersonic flows for the potential of clean offshore natural gas processing," Applied Energy, Elsevier, vol. 310(C).
    10. Jung, Wonho & Lee, Jinwon, 2022. "Economic evaluation for four different solid sorbent processes with heat integration for energy-efficient CO2 capture based on PEI-silica sorbent," Energy, Elsevier, vol. 238(PC).
    11. Lan, Liuhan & Zhang, Youzhong & Zhang, Xingping & Zhang, Xinyue, 2024. "Price effect of multi-energy system with CCS and P2G and its impact on carbon-gas-electricity sectors," Applied Energy, Elsevier, vol. 359(C).
    12. Yun, Seokwon & Jang, Mun-Gi & Kim, Jin-Kuk, 2021. "Techno-economic assessment and comparison of absorption and membrane CO2 capture processes for iron and steel industry," Energy, Elsevier, vol. 229(C).
    13. Kim, Jeongnam & Na, Jonggeol & Kim, Kyeongsu & Bak, Ji Hyun & Lee, Hyunjoo & Lee, Ung, 2021. "Learning the properties of a water-lean amine solvent from carbon capture pilot experiments," Applied Energy, Elsevier, vol. 283(C).
    14. Zhang, Zhiwei & Vo, Dat-Nguyen & Nguyen, Tuan B.H. & Sun, Jinsheng & Lee, Chang-Ha, 2024. "Advanced process integration and machine learning-based optimization to enhance techno-economic-environmental performance of CO2 capture and conversion to methanol," Energy, Elsevier, vol. 293(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:gam:jeners:v:14:y:2021:i:16:p:5076-:d:616694. 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: 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.