IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v284y2023ics0360544223026798.html
   My bibliography  Save this article

A multi-physics coupled multi-scale transport model for CO2 sequestration and enhanced recovery in shale formation with fractal fracture networks

Author

Listed:
  • Li, Bo
  • Yu, Hao
  • Xu, WenLong
  • Huang, HanWei
  • Huang, MengCheng
  • Meng, SiWei
  • Liu, He
  • Wu, HengAn

Abstract

CO2 sequestration and enhanced gas recovery (CS-EGR) of shale formation involve complex multi-physics couplings, which are still not precisely captured by recent models. In this regard, a modified model fully considering the fractal characterization of fracture networks and multi-physics coupled transport behaviors in multi-scale shale formation is established. The fractal fracture networks are depicted based on the L-system theory with microseismic events (MSE), and embedded into the numerical modeling by an automatic fitting algorithm. As a development from the traditional transport model, the formulas among the pressure field, thermal field, and the molecular diffusion of binary gases are constructed based on the Chapman-Enskog theory. The effect of tortuosity and surface diffusion on gas transport efficiency can reach up to 5 %. The morphology parameters of induced fractures affect gas migration mainly by changing the size of SRV and the space between adjacent induced fractures, with their influence on CH4 production potentially as high as 20 %. Meanwhile, there are improved CH4 production, energy efficiency, and CO2 storage amounts, when the injection parameters are optimized. By optimizing the injection conditions (temperature, pressure), CH4 production can be increased by about 8 %.

Suggested Citation

  • Li, Bo & Yu, Hao & Xu, WenLong & Huang, HanWei & Huang, MengCheng & Meng, SiWei & Liu, He & Wu, HengAn, 2023. "A multi-physics coupled multi-scale transport model for CO2 sequestration and enhanced recovery in shale formation with fractal fracture networks," Energy, Elsevier, vol. 284(C).
    • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223026798
    DOI: 10.1016/j.energy.2023.129285
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223026798
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129285?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. Biagi, James & Agarwal, Ramesh & Zhang, Zheming, 2016. "Simulation and optimization of enhanced gas recovery utilizing CO2," Energy, Elsevier, vol. 94(C), pages 78-86.
    2. B. Ekwurzel & J. Boneham & M. W. Dalton & R. Heede & R. J. Mera & M. R. Allen & P. C. Frumhoff, 2017. "The rise in global atmospheric CO2, surface temperature, and sea level from emissions traced to major carbon producers," Climatic Change, Springer, vol. 144(4), pages 579-590, October.
    3. Xie, Weidong & Wang, Meng & Chen, Si & Vandeginste, Veerle & Yu, Zhenghong & Wang, Hua, 2022. "Effects of gas components, reservoir property and pore structure of shale gas reservoir on the competitive adsorption behavior of CO2 and CH4," Energy, Elsevier, vol. 254(PB).
    4. Chen, Hao & Wang, Yu & Zuo, Mingsheng & Zhang, Chao & Jia, Ninghong & Liu, Xiliang & Yang, Shenglai, 2022. "A new prediction model of CO2 diffusion coefficient in crude oil under reservoir conditions based on BP neural network," Energy, Elsevier, vol. 239(PC).
    5. Cai, Mingyu & Su, Yuliang & Elsworth, Derek & Li, Lei & Fan, Liyao, 2021. "Hydro-mechanical-chemical modeling of sub-nanopore capillary-confinement on CO2-CCUS-EOR," Energy, Elsevier, vol. 225(C).
    6. Qin, Chao & Jiang, Yongdong & Cao, Mengyao & Zhou, Junping & Song, Xiao & Zuo, Shuangying & Chen, Shiwan & Luo, Yahuang & Xiao, Siyou & Yin, Hong & Du, Xidong, 2023. "Experimental study on the methane desorption-diffusion behavior of Longmaxi shale exposure to supercritical CO2," Energy, Elsevier, vol. 262(PA).
    7. Huang, Jingwei & Jin, Tianying & Barrufet, Maria & Killough, John, 2020. "Evaluation of CO2 injection into shale gas reservoirs considering dispersed distribution of kerogen," Applied Energy, Elsevier, vol. 260(C).
    8. Micheal, Marembo & Yu, Hao & Meng, SiWei & Xu, WenLong & Huang, HanWei & Huang, MengCheng & Zhang, HouLin & Liu, He & Wu, HengAn, 2023. "Gas production from shale reservoirs with bifurcating fractures: A modified quadruple-domain model coupling microseismic events," Energy, Elsevier, vol. 278(C).
    9. Middleton, Richard S. & Carey, J. William & Currier, Robert P. & Hyman, Jeffrey D. & Kang, Qinjun & Karra, Satish & Jiménez-Martínez, Joaquín & Porter, Mark L. & Viswanathan, Hari S., 2015. "Shale gas and non-aqueous fracturing fluids: Opportunities and challenges for supercritical CO2," Applied Energy, Elsevier, vol. 147(C), pages 500-509.
    10. Xu, WenLong & Yu, Hao & Micheal, Marembo & Huang, HanWei & Liu, He & Wu, HengAn, 2023. "An integrated model for fracture propagation and production performance of thermal enhanced shale gas recovery," Energy, Elsevier, vol. 263(PA).
    Full references (including those not matched with items on IDEAS)

    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. Dai, Xuguang & Wei, Chongtao & Wang, Meng & Ma, Ruying & Song, Yu & Zhang, Junjian & Wang, Xiaoqi & Shi, Xuan & Vandeginste, Veerle, 2023. "Interaction mechanism of supercritical CO2 with shales and a new quantitative storage capacity evaluation method," Energy, Elsevier, vol. 264(C).
    2. Yang, Hongmin & Kang, Ningning & Chen, Xiangjun & Liu, Yuan, 2023. "Exploring the inhibitory effect of H2O on CO2/CH4 adsorption in coal: Insights from experimental and simulation approaches," Energy, Elsevier, vol. 284(C).
    3. Wang, Hui & Chen, Li & Qu, Zhiguo & Yin, Ying & Kang, Qinjun & Yu, Bo & Tao, Wen-Quan, 2020. "Modeling of multi-scale transport phenomena in shale gas production — A critical review," Applied Energy, Elsevier, vol. 262(C).
    4. Yin, Hong & Zhou, Junping & Xian, Xuefu & Jiang, Yongdong & Lu, Zhaohui & Tan, Jingqiang & Liu, Guojun, 2017. "Experimental study of the effects of sub- and super-critical CO2 saturation on the mechanical characteristics of organic-rich shales," Energy, Elsevier, vol. 132(C), pages 84-95.
    5. Filip Simeski & Matthias Ihme, 2023. "Supercritical fluids behave as complex networks," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    6. Weiqiang Song & Hongjian Ni & Ruihe Wang & Mengyun Zhao, 2017. "Wellbore flow field of coiled tubing drilling with supercritical carbon dioxide," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(4), pages 745-755, August.
    7. Zhao‐Zhong Yang & Liang‐Ping Yi & Xiao‐Gang Li & Yu Li & Min Jia, 2018. "Phase control of downhole fluid during supercritical carbon dioxide fracturing," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 8(6), pages 1079-1089, December.
    8. Jesse L. Reynolds & Edward A. Parson, 2020. "Nonstate governance of solar geoengineering research," Climatic Change, Springer, vol. 160(2), pages 323-342, May.
    9. Huang, Liang & Ning, Zhengfu & Wang, Qing & Zhang, Wentong & Cheng, Zhilin & Wu, Xiaojun & Qin, Huibo, 2018. "Effect of organic type and moisture on CO2/CH4 competitive adsorption in kerogen with implications for CO2 sequestration and enhanced CH4 recovery," Applied Energy, Elsevier, vol. 210(C), pages 28-43.
    10. Rahmad Syah & Seyed Mehdi Alizadeh & Karina Shamilyevna Nurgalieva & John William Grimaldo Guerrero & Mahyuddin K. M. Nasution & Afshin Davarpanah & Dadan Ramdan & Ahmed Sayed M. Metwally, 2021. "A Laboratory Approach to Measure Enhanced Gas Recovery from a Tight Gas Reservoir during Supercritical Carbon Dioxide Injection," Sustainability, MDPI, vol. 13(21), pages 1-14, October.
    11. Haiyun, Cui & Zhixiong, Huang & Yüksel, Serhat & Dinçer, Hasan, 2021. "Analysis of the innovation strategies for green supply chain management in the energy industry using the QFD-based hybrid interval valued intuitionistic fuzzy decision approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    12. Nguyen, Phong & Carey, J. William & Viswanathan, Hari S. & Porter, Mark, 2018. "Effectiveness of supercritical-CO2 and N2 huff-and-puff methods of enhanced oil recovery in shale fracture networks using microfluidic experiments," Applied Energy, Elsevier, vol. 230(C), pages 160-174.
    13. Liu, Xiangfei & Ren, Mifeng & Yang, Zhile & Yan, Gaowei & Guo, Yuanjun & Cheng, Lan & Wu, Chengke, 2022. "A multi-step predictive deep reinforcement learning algorithm for HVAC control systems in smart buildings," Energy, Elsevier, vol. 259(C).
    14. Han, Jinju & Lee, Minkyu & Lee, Wonsuk & Lee, Youngsoo & Sung, Wonmo, 2016. "Effect of gravity segregation on CO2 sequestration and oil production during CO2 flooding," Applied Energy, Elsevier, vol. 161(C), pages 85-91.
    15. An, Qiyi & Zhang, Qingsong & Li, Xianghui & Yu, Hao & Yin, Zhanchao & Zhang, Xiao, 2022. "Accounting for dynamic alteration effect of SC-CO2 to assess role of pore structure on rock strength: A comparative study," Energy, Elsevier, vol. 260(C).
    16. Kranz, Johann & Zeiss, Roman & Beck, Roman & Gholami, Roya & Sarker, Saonee & Watson, Richard T. & Whitley, Edgar A., 2022. "Practicing what we preach? Reflections on more sustainable and responsible IS research and teaching practices," LSE Research Online Documents on Economics 116677, London School of Economics and Political Science, LSE Library.
    17. Zhou, Junping & Tian, Shifeng & Zhou, Lei & Xian, Xuefu & Yang, Kang & Jiang, Yongdong & Zhang, Chengpeng & Guo, Yaowen, 2020. "Experimental investigation on the influence of sub- and super-critical CO2 saturation time on the permeability of fractured shale," Energy, Elsevier, vol. 191(C).
    18. Tong, Zi-Xiang & Li, Ming-Jia & He, Ya-Ling & Tan, Hou-Zhang, 2017. "Simulation of real time particle deposition and removal processes on tubes by coupled numerical method," Applied Energy, Elsevier, vol. 185(P2), pages 2181-2193.
    19. Scoville-Simonds, Morgan & Jamali, Hameed & Hufty, Marc, 2020. "The Hazards of Mainstreaming: Climate change adaptation politics in three dimensions," World Development, Elsevier, vol. 125(C).
    20. Liu, Bo & Mohammadi, Mohammad-Reza & Ma, Zhongliang & Bai, Longhui & Wang, Liu & Xu, Yaohui & Hemmati-Sarapardeh, Abdolhossein & Ostadhassan, Mehdi, 2023. "Pore structure evolution of Qingshankou shale (kerogen type I) during artificial maturation via hydrous and anhydrous pyrolysis: Experimental study and intelligent modeling," Energy, Elsevier, vol. 282(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:284:y:2023:i:c:s0360544223026798. 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.