IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v263y2023ipas0360544222026160.html
   My bibliography  Save this article

MD-CFD simulation on the miscible displacement process of hydrocarbon gas flooding under deep reservoir conditions

Author

Listed:
  • Yan, Zechen
  • Li, Xiaofang
  • Zhu, Xu
  • Wang, Ping
  • Yu, Shifan
  • Li, Haonan
  • Wei, Kangxing
  • Li, Yan
  • Xue, Qingzhong

Abstract

In this study, the microscopic miscible mechanism and the macroscopic flow characteristics of hydrocarbon gas and crude oil are investigated by combining molecular dynamic (MD) simulation and computational fluid dynamics (CFD) simulation. Under the deep reservoir conditions, the MD results manifest that compared with water flooding, hydrocarbon gas flooding could be more miscible with oil molecules, due to their stronger interactions. Based on the calculated density, viscosity and diffusion coefficient by the MD method, the CFD model is constructed to study the miscible displacement process of hydrocarbon gas flooding at 413 K and 50 MPa. The CFD results illustrate that the ability of oil displacement of different injection mediums follows the order of methane > ethane > propane > water. Because of the oil-gas miscibility, hydrocarbon gas could weaken the negative effect of the porosity and the wettability, leading to the decrease of the residual oil (RO) content. Moreover, the multi-component injection method is proposed for multi-scale porous media including nano-pore and micron-pore with small pore size. Notably, the variable velocity injection method is firstly designed for enhanced oil recovery. Compared with the constant low-velocity method, the RO content and the injection time of this method are effectively reduced by 12.4% and 66.7%, respectively.

Suggested Citation

  • Yan, Zechen & Li, Xiaofang & Zhu, Xu & Wang, Ping & Yu, Shifan & Li, Haonan & Wei, Kangxing & Li, Yan & Xue, Qingzhong, 2023. "MD-CFD simulation on the miscible displacement process of hydrocarbon gas flooding under deep reservoir conditions," Energy, Elsevier, vol. 263(PA).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pa:s0360544222026160
    DOI: 10.1016/j.energy.2022.125730
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222026160
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.125730?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. Tang, Yong & Chen, Yulin & He, Youwei & Yu, Guangming & Guo, Xifeng & Yang, Qing & Wang, Yong, 2021. "An improved system for evaluating the adaptability of natural gas flooding in enhancing oil recovery considering the miscible ability," Energy, Elsevier, vol. 236(C).
    2. Ahmadi, Mohammadali & Chen, Zhangxin, 2022. "Molecular dynamics simulation of oil detachment from hydrophobic quartz surfaces during steam-surfactant Co-injection," Energy, Elsevier, vol. 254(PC).
    3. Yang, Xu & Zhou, Wenning & Liu, Xunliang & Yan, Yuying, 2020. "A multiscale approach for simulation of shale gas transport in organic nanopores," Energy, Elsevier, vol. 210(C).
    4. Gunde, Akshay C. & Bera, Bijoyendra & Mitra, Sushanta K., 2010. "Investigation of water and CO2 (carbon dioxide) flooding using micro-CT (micro-computed tomography) images of Berea sandstone core using finite element simulations," Energy, Elsevier, vol. 35(12), pages 5209-5216.
    5. Wang, Chen & Liu, Yueliang & Du, Yifan & Gao, Yuan & Sun, Yuanxiu, 2021. "Heavy-oil recovery by combined geothermal energy and cosolvent/water flooding," Energy, Elsevier, vol. 228(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. Wu, Yining & Yan, Xiang & Huang, Yongping & Zhao, Mingwei & Zhang, Liyuan & Dai, Caili, 2024. "Ultra-deep reservoirs gel fracturing fluid with stepwise reinforcement network from supramolecular force to chemical crosslinking," Energy, Elsevier, vol. 293(C).
    2. Nie, Wen & Jiang, Chenwang & Liu, Qiang & Guo, Lidian & Hua, Yun & Zhang, Haonan & Jiang, Bingyou & Zhu, Zilian, 2024. "Study of highly efficient control and dust removal system for double-tunnel boring processes in coal mines," Energy, Elsevier, vol. 289(C).
    3. Nie, Wen & Jiang, Chenwang & Sun, Ning & Guo, Lidian & Xue, Qianqian & Liu, Qiang & Liu, Chengyi & Cha, Xingpeng & Yi, Shixing, 2023. "Analysis of multi-factor ventilation parameters for reducing energy air pollution in coal mines," Energy, Elsevier, vol. 278(PA).

    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. Zhang, Tong & Tang, Ming & Ma, Yankun & Zhu, Guangpei & Zhang, Qinghe & Wu, Jun & Xie, Zhizheng, 2022. "Experimental study on CO2/Water flooding mechanism and oil recovery in ultralow - Permeability sandstone with online LF-NMR," Energy, Elsevier, vol. 252(C).
    2. Yang, Min & Liu, Qi & Zhao, Hongsheng & Li, Ziqiang & Liu, Bing & Li, Xingdong & Meng, Fanyong, 2014. "Automatic X-ray inspection for escaped coated particles in spherical fuel elements of high temperature gas-cooled reactor," Energy, Elsevier, vol. 68(C), pages 385-398.
    3. Guo, Dan & Cao, Xuewen & Ding, Gaoya & Zhang, Pan & Liu, Yang & Bian, Jiang, 2022. "Crystallization and nucleation mechanism of heavy hydrocarbons in natural gas," Energy, Elsevier, vol. 239(PB).
    4. Gou, Qiyang & Xu, Shang & Hao, Fang & Yang, Feng & Shu, Zhiguo & Liu, Rui, 2021. "The effect of tectonic deformation and preservation condition on the shale pore structure using adsorption-based textural quantification and 3D image observation," Energy, Elsevier, vol. 219(C).
    5. Zhao, Li & Guanhua, Ni & Yan, Wang & Hehe, Jiang & Yongzan, Wen & Haoran, Dou & Mao, Jing, 2022. "Semi-homogeneous model of coal based on 3D reconstruction of CT images and its seepage-deformation characteristics," Energy, Elsevier, vol. 259(C).
    6. Golsanami, Naser & Jayasuriya, Madusanka N. & Yan, Weichao & Fernando, Shanilka G. & Liu, Xuefeng & Cui, Likai & Zhang, Xuepeng & Yasin, Qamar & Dong, Huaimin & Dong, Xu, 2022. "Characterizing clay textures and their impact on the reservoir using deep learning and Lattice-Boltzmann simulation applied to SEM images," Energy, Elsevier, vol. 240(C).
    7. Ren, Jitian & Xiao, Wenlian & Pu, Wanfen & Tang, Yanbing & Bernabé, Yves & Cheng, Qianrui & Zheng, Lingli, 2024. "Characterization of CO2 miscible/immiscible flooding in low-permeability sandstones using NMR and the VOF simulation method," Energy, Elsevier, vol. 297(C).
    8. Yintao Dong & Laiming Song & Fengpeng Lai & Qianhui Zhao & Chuan Lu & Guanzhong Chen & Qinwan Chong & Shuo Yang & Junjie Wang, 2024. "Characterization of the Macroscopic Impact of Diverse Microscale Transport Mechanisms of Gas in Micro-Nano Pores and Fractures," Energies, MDPI, vol. 17(5), pages 1-23, February.
    9. Hengli Wang & Leng Tian & Kaiqiang Zhang & Zongke Liu & Can Huang & Lili Jiang & Xiaolong Chai, 2021. "How Is Ultrasonic-Assisted CO 2 EOR to Unlock Oils from Unconventional Reservoirs?," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    10. Zhao, Yuejun & Fan, Guangjuan & Song, Kaoping & Li, Yilin & Chen, Hao & Sun, He, 2021. "The experimental research for reducing the minimum miscibility pressure of carbon dioxide miscible flooding," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    11. Ping Yue & Feng Liu & Kai Yang & Chunshuo Han & Chao Ren & Jiangtang Zhou & Xiukun Wang & Quantang Fang & Xinxin Li & Liangbin Dou, 2022. "Micro-Displacement and Storage Mechanism of CO 2 in Tight Sandstone Reservoirs Based on CT Scanning," Energies, MDPI, vol. 15(17), pages 1-16, August.
    12. Biagi, James & Agarwal, Ramesh & Zhang, Zheming, 2016. "Simulation and optimization of enhanced gas recovery utilizing CO2," Energy, Elsevier, vol. 94(C), pages 78-86.
    13. Wu, Jianguo & Luo, Chao & Zhong, Kesu & Li, Yi & Li, Guoliang & Du, Zhongming & Yang, Jijin, 2023. "Innovative characterization of organic nanopores in marine shale by the integration of HIM and SEM," Energy, Elsevier, vol. 282(C).
    14. Du, Shuheng, 2020. "Profound connotations of parameters on the geometric anisotropy of pores in which oil store and flow: A new detailed case study which aimed to dissect, conclude and improve the theoretical meaning and," Energy, Elsevier, vol. 211(C).
    15. Zhou, H.W. & Liu, Z.L. & Zhong, J.C. & Chen, B.C. & Zhao, J.W. & Xue, D.J., 2022. "NMRI online observation of coal fracture and pore structure evolution under confining pressure and axial compressive loads: A novel approach," Energy, Elsevier, vol. 261(PA).
    16. Popkova, Elena G. & Sergi, Bruno S., 2024. "Energy infrastructure: Investment, sustainability and AI," Resources Policy, Elsevier, vol. 91(C).
    17. Zemin Ji & Qun Zhang & Yang Gao & Jing Wang & Chang He & Lu Han & Wenjing Zhao, 2022. "Experimental Study on Conformance Control Using Acidic Nanoparticles in a Heterogeneous Reservoir by Flue Gas Flooding," Energies, MDPI, vol. 16(1), pages 1-12, December.
    18. Yan, Min & Zhou, Ming & Li, Shugang & Lin, Haifei & Zhang, Kunyin & Zhang, Binbin & Shu, Chi-Min, 2021. "Numerical investigation on the influence of micropore structure characteristics on gas seepage in coal with lattice Boltzmann method," Energy, Elsevier, vol. 230(C).
    19. Yang, Jinghua & Wang, Min & Wu, Lei & Liu, Yanwei & Qiu, Shuxia & Xu, Peng, 2021. "A novel Monte Carlo simulation on gas flow in fractal shale reservoir," Energy, Elsevier, vol. 236(C).
    20. Zhou, Xiang & Li, Xiuluan & Shen, Dehuang & Shi, Lanxiang & Zhang, Zhien & Sun, Xinge & Jiang, Qi, 2022. "CO2 huff-n-puff process to enhance heavy oil recovery and CO2 storage: An integration study," Energy, Elsevier, vol. 239(PB).

    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:263:y:2023:i:pa:s0360544222026160. 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.