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Effects of gas components, reservoir property and pore structure of shale gas reservoir on the competitive adsorption behavior of CO2 and CH4

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  • Xie, Weidong
  • Wang, Meng
  • Chen, Si
  • Vandeginste, Veerle
  • Yu, Zhenghong
  • Wang, Hua

Abstract

CO2 injection into shale gas reservoirs is deemed as a potential scheme to enhance CH4 recovery and achieve the ambition of carbon neutral. The insufficient research of binary gas competitive adsorption behavior at in-situ conditions of shale gas reservoirs, and the coupling control of gas components, shale properties, and pore structure on CO2 adsorption affinity limit its general application. Therefore, the competitive adsorption behavior of CO2 and CH4 at in-situ conditions is simulated using high-pressure multi-component adsorption experiments, and the effects of binary gas components, shale properties and pore structure on CO2 adsorption affinity are discussed. Subsequently, the mathematical and geological models of CO2 injection into Longmaxi shale gas reservoir enhancing CH4 recovery and achieving carbon sequestration are established based on experimental parameters and reservoir geological parameters, and the feasibility and expectation benefits are discussed. The results exhibit that selectivity coefficient of CO2 relative to CH4 (Sc) decreases with higher CO2 mole fraction, whereas it increases with higher total organic carbon content (TOC) and clay content. Both pore volume (PV) and specific surface area (SSA) have clear positive correlations with Sc. Overall, TOC is a crucial controlling factor of pore structure and adsorption capacity of shale, further, affects the adsorption affinity of CO2. The injection of CO2 into shale gas reservoir shows a promising application prospect in improving CH4 recovery and carbon emission reduction in geological and mathematical models, and the leakage risk is low after CO2 sequestration.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:254:y:2022:i:pb:s0360544222011458
    DOI: 10.1016/j.energy.2022.124242
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    Cited by:

    1. Wang, Han & Zhang, Mingshan & Xia, Xuanzhe & Tian, Zhenhua & Qin, Xiangjie & Cai, Jianchao, 2024. "Lattice Boltzmann prediction of CO2 and CH4 competitive adsorption in shale porous media accelerated by machine learning for CO2 sequestration and enhanced CH4 recovery," Applied Energy, Elsevier, vol. 370(C).
    2. 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).
    3. Wu, Jian & Shen, Luming & Huang, Pengyu & Gan, Yixiang, 2023. "Selective adsorption and transport of CO2–CH4 mixture under nano-confinement," Energy, Elsevier, vol. 273(C).
    4. 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).
    5. Wu, Jian & Gan, Yixiang & Shi, Zhang & Huang, Pengyu & Shen, Luming, 2023. "Pore-scale lattice Boltzmann simulation of CO2-CH4 displacement in shale matrix," Energy, Elsevier, vol. 278(PB).
    6. Wang, Zengding & Liu, Tengyu & Liu, Shanchao & Jia, Cunqi & Yao, Jun & Sun, Hai & Yang, Yongfei & Zhang, Lei & Delshad, Mojdeh & Sepehrnoori, Kamy & Zhong, Junjie, 2024. "Adsorption effects on CO2-oil minimum miscibility pressure in tight reservoirs," Energy, Elsevier, vol. 288(C).
    7. Gao, Zheng & Li, Bobo & Li, Jianhua & Jia, Lidan & Wang, Zhonghui, 2023. "Adsorption characteristics and thermodynamic analysis of shale in northern Guizhou, China: Measurement, modeling and prediction," Energy, Elsevier, vol. 262(PA).
    8. Yi, Jun & Qi, ZhongLi & Li, XiangChengZhen & Liu, Hong & Zhou, Wei, 2024. "Spatial correlation-based machine learning framework for evaluating shale gas production potential: A case study in southern Sichuan Basin, China," Applied Energy, Elsevier, vol. 357(C).
    9. 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).
    10. 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).
    11. 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).
    12. Nie, Bin, 2023. "Diffusion characteristics of shale mixed gases on the wall of microscale fractures," Energy, Elsevier, vol. 284(C).
    13. Xie, Weidong & Wang, Hua & Vandeginste, Veerle & Chen, Si & Gan, Huajun & Wang, Meng & Yu, Zhenghong, 2023. "Thermodynamic and kinetic affinity of CO2 relative to CH4 and their pressure, temperature and pore structure sensitivity in the competitive adsorption system in shale gas reservoirs," Energy, Elsevier, vol. 277(C).
    14. 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).
    15. 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).

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