IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v294y2024ics0360544224005383.html
   My bibliography  Save this article

Study on microscale stress sensitivity of CO2 foam fracturing in tight reservoirs

Author

Listed:
  • Zhang, He

Abstract

With huge reserves and wide distribution, tight oil and gas resources are the focus and hotspot of unconventional oil and gas research in recent years. In this paper, firstly, the multi-scale model of CO2 fracturing gas is established by considering the phase evolution characteristics of CO2. Secondly, considering the hydrophilicity of the tight reservoir, a microscale seepage model of CO2 under the adsorption condition of fracturing fluid is proposed. Again, considering the shrinkage effect of dense reservoir matrix, a dynamic coupling model of gas-liquid-solid under CO2 fracturing conditions is established. The results show that: (a) When the volume of the adsorbed layer of CO2 fracturing fluid accounts for 10% of the pore volume and the CO2 concentration is 20%, the fluid transport in the tight reservoir shows significant separation characteristics. (b) More CO2 enters the crude oil after considering the diffusion effect of CO2 body. The influence of CO2 diffusion mechanism on oil recovery should not be neglected. (c) Enhancement of elastic energy is one of the main mechanisms by which CO2 improves oil driving efficiency in tight reservoirs.

Suggested Citation

  • Zhang, He, 2024. "Study on microscale stress sensitivity of CO2 foam fracturing in tight reservoirs," Energy, Elsevier, vol. 294(C).
    • Handle: RePEc:eee:energy:v:294:y:2024:i:c:s0360544224005383
    DOI: 10.1016/j.energy.2024.130766
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224005383
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.130766?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. Wang, Lei & Yao, Bowen & Xie, Haojun & Winterfeld, Philip H. & Kneafsey, Timothy J. & Yin, Xiaolong & Wu, Yu-Shu, 2017. "CO2 injection-induced fracturing in naturally fractured shale rocks," Energy, Elsevier, vol. 139(C), pages 1094-1110.
    2. Dong, Yichen & Mao, Songbo & Guo, Feiqiang & Shu, Rui & Bai, Jiaming & Qian, Lin & Bai, Yonghui, 2022. "Coal gasification fine slags: Investigation of the potential as both microwave adsorbers and catalysts in microwave-induced biomass pyrolysis applications," Energy, Elsevier, vol. 238(PB).
    3. Sun, Fengrui & Yao, Yuedong & Li, Guozhen & Li, Xiangfang, 2018. "Geothermal energy extraction in CO2 rich basin using abandoned horizontal wells," Energy, Elsevier, vol. 158(C), pages 760-773.
    4. Jiang, Xingwen & Chen, Mian & Li, Qinghui & Liang, Lihao & Zhong, Zhen & Yu, Bo & Wen, Hang, 2022. "Study on the feasibility of the heat treatment after shale gas reservoir hydration fracturing," Energy, Elsevier, vol. 254(PB).
    5. Chen, Kang & Liu, Xianfeng & Nie, Baisheng & Zhang, Chengpeng & Song, Dazhao & Wang, Longkang & Yang, Tao, 2022. "Mineral dissolution and pore alteration of coal induced by interactions with supercritical CO2," Energy, Elsevier, vol. 248(C).
    6. Sun, Fengrui & Yao, Yuedong & Li, Xiangfang, 2018. "The heat and mass transfer characteristics of superheated steam coupled with non-condensing gases in horizontal wells with multi-point injection technique," Energy, Elsevier, vol. 143(C), pages 995-1005.
    7. Sun, Fengrui & Yao, Yuedong & Chen, Mingqiang & Li, Xiangfang & Zhao, Lin & Meng, Ye & Sun, Zheng & Zhang, Tao & Feng, Dong, 2017. "Performance analysis of superheated steam injection for heavy oil recovery and modeling of wellbore heat efficiency," Energy, Elsevier, vol. 125(C), pages 795-804.
    8. Yang, Kang & Zhou, Junping & Xian, Xuefu & Zhou, Lei & Zhang, Chengpeng & Tian, Shifeng & Lu, Zhaohui & Zhang, Fengshou, 2022. "Chemical-mechanical coupling effects on the permeability of shale subjected to supercritical CO2-water exposure," Energy, Elsevier, vol. 248(C).
    9. Zhou, Yinbo & Li, Hansheng & Huang, Jilei & Zhang, Ruilin & Wang, Shijie & Hong, Yidu & Yang, Yongliang, 2021. "Influence of coal deformation on the Knudsen number of gas flow in coal seams," Energy, Elsevier, vol. 233(C).
    10. Lu, Yang & Wang, Ying & Zhang, Jing & Wang, Qi & Zhao, Yuqiong & Zhang, Yongfa, 2020. "Investigation on the characteristics of pyrolysates during co-pyrolysis of Zhundong coal and Changji oil shale and its kinetics," Energy, Elsevier, vol. 200(C).
    11. Shao, Jiaxin & You, Lijun & Jia, Na & Kang, Yili & Chen, Mingjun & Lei, Xiaowen, 2023. "Salt crystal: Natural proppant for enhancing shale reservoir production," Energy, Elsevier, vol. 262(PB).
    12. Shi, Wenrui & Zhang, Chaomo & Jiang, Shu & Liao, Yong & Shi, Yuanhui & Feng, Aiguo & Young, Steven, 2022. "Study on pressure-boosting stimulation technology in shale gas horizontal wells in the Fuling shale gas field," Energy, Elsevier, vol. 254(PB).
    13. Xie, Yetong & Liu, Huimin & Zhang, Kuihua & Jia, Wenhua & Li, Jing & Meng, Xiaoyu, 2023. "Dynamic evaluation of microscopic damage and fluid flow behavior in reservoir shale under deviatoric stress," Energy, Elsevier, vol. 283(C).
    14. Huang, Feifei & Pu, Chunsheng & Gu, Xiaoyu & Ye, Zhengqin & Khan, Nasir & An, Jie & Wu, Feipeng & Liu, Jing, 2021. "Study of a low-damage efficient-imbibition fracturing fluid without flowback used for low-pressure tight reservoirs," Energy, Elsevier, vol. 222(C).
    15. Yang, Xianyu & Xie, Jingyu & Ye, Xiaoping & Chen, Shuya & Jiang, Guosheng & Cai, Jihua & Shi, Yanping & Yue, Ye & Xue, Man & Dai, Zhaokai & Fang, Changliang, 2023. "Sealing characteristics and discrete element fluid dynamics analysis of nanofiber in nanoscale shale pores: Modeling and prediction," Energy, Elsevier, vol. 273(C).
    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. Li, Jiangtao & Zhou, Xiaofeng & Liu, Xibao & Gayubov, Abdumalik & Shamil, Sultanov, 2023. "Cross-scale diffusion characteristics in microscale fractures of tight and shale gas reservoirs considering real gas – mixture – body diffusion – water film coupling," Energy, Elsevier, vol. 283(C).
    2. Li, Jiangtao & Zhou, Xiaofeng & Gayubov, Abdumalik & Shamil, Sultanov, 2023. "Study on production performance characteristics of horizontal wells in low permeability and tight oil reservoirs," Energy, Elsevier, vol. 284(C).
    3. Wei, Jianguang & Li, Jiangtao & Zhang, Ao & Shang, Demiao & Zhou, Xiaofeng & Niu, Yintao, 2023. "Influence of shale bedding on development of microscale pores and fractures," Energy, Elsevier, vol. 282(C).
    4. Nie, Bin, 2023. "Diffusion characteristics of shale mixed gases on the wall of microscale fractures," Energy, Elsevier, vol. 284(C).
    5. Zhou, Xiaofeng & Wei, Jianguang & Zhao, Junfeng & Zhang, Xiangyu & Fu, Xiaofei & Shamil, Sultanov & Abdumalik, Gayubov & Chen, Yinghe & Wang, Jian, 2024. "Study on pore structure and permeability sensitivity of tight oil reservoirs," Energy, Elsevier, vol. 288(C).
    6. Wang, Huaijing, 2023. "Modeling of multiple thermal fluid circulation in horizontal section of wellbores," Energy, Elsevier, vol. 282(C).
    7. Zhang, Jun, 2023. "Performance of high temperature steam injection in horizontal wells of heavy oil reservoirs," Energy, Elsevier, vol. 282(C).
    8. Wei, Jianguang & Zhang, Ao & Li, Jiangtao & Shang, Demiao & Zhou, Xiaofeng, 2023. "Study on microscale pore structure and bedding fracture characteristics of shale oil reservoir," Energy, Elsevier, vol. 278(PA).
    9. Wei, Jianguang & Fu, Lanqing & Zhao, Guozhong & Zhao, Xiaoqing & Liu, Xinrong & Wang, Anlun & Wang, Yan & Cao, Sheng & Jin, Yuhan & Yang, Fengrui & Liu, Tianyang & Yang, Ying, 2023. "Nuclear magnetic resonance study on imbibition and stress sensitivity of lamellar shale oil reservoir," Energy, Elsevier, vol. 282(C).
    10. Wei, Jianguang & Zhou, Xiaofeng & Shamil, Sultanov & Yuriy, Kotenev & Yang, Erlong & Yang, Ying & Wang, Anlun, 2024. "High-pressure mercury intrusion analysis of pore structure in typical lithofacies shale," Energy, Elsevier, vol. 295(C).
    11. Duan, Zhonghui & Zhang, Yongmin & Yang, Fu & Liu, Meijuan & Wang, Zhendong & Zhao, Youzhi & Ma, Li, 2024. "Research on controllable shock wave technology for in-situ development of tar-rich coal," Energy, Elsevier, vol. 288(C).
    12. Wei, Jianguang & Zhang, Dong & Zhang, Xin & Zhao, Xiaoqing & Zhou, Runnan, 2023. "Experimental study on water flooding mechanism in low permeability oil reservoirs based on nuclear magnetic resonance technology," Energy, Elsevier, vol. 278(PB).
    13. Nie, Bin, 2023. "Study on thermal decomposition of oil shale: Two-phase fluid simulation in wellbore," Energy, Elsevier, vol. 272(C).
    14. Wei, Jianguang & Liang, Shuang & Zhang, Dong & Li, Jiangtao & Zhou, Runnan, 2023. "Frozen core experimental study on oil-water distribution characteristics at different stages of water flooding in low permeability oil reservoirs," Energy, Elsevier, vol. 278(PB).
    15. Sun, Fengrui & Liu, Dameng & Cai, Yidong & Qiu, Yongkai, 2023. "A micro-macro coupled permeability model for gas transport in coalbed methane reservoirs," Energy, Elsevier, vol. 284(C).
    16. Wei, Jianguang & Yang, Erlong & Li, Jiangtao & Liang, Shuang & Zhou, Xiaofeng, 2023. "Nuclear magnetic resonance study on the evolution of oil water distribution in multistage pore networks of shale oil reservoirs," Energy, Elsevier, vol. 282(C).
    17. Nie, Bin & Sun, Sijia, 2023. "Thermal recovery of coalbed methane: Modeling of heat and mass transfer in wellbores," Energy, Elsevier, vol. 263(PD).
    18. Nie, Bin & Sun, Sijia, 2023. "Thermal recovery of offshore coalbed methane reservoirs: Flow characteristics of superheated steam in wellbores," Energy, Elsevier, vol. 266(C).
    19. Zhang, Xishun & Shi, Junfeng & Zhao, Ruidong & Ma, Gaoqiang & Li, Zhongyang & Wang, Xiaofei & Zhang, Jinke, 2024. "Simulation of wellbore pipe flow in oil production engineering: Offshore concentric double-tube CO2-assisted superheated steam wellbore during SAGD process of heavy oil reservoirs," Energy, Elsevier, vol. 294(C).
    20. Wu, Ya & Su, JingRong & Li, Ke & Sun, Chuanwang, 2019. "Comparative study on power efficiency of China's provincial steel industry and its influencing factors," Energy, Elsevier, vol. 175(C), pages 1009-1020.

    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:294:y:2024:i:c:s0360544224005383. 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.