IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v252y2022ics0360544222008519.html
   My bibliography  Save this article

Experimental study on CO2/Water flooding mechanism and oil recovery in ultralow - Permeability sandstone with online LF-NMR

Author

Listed:
  • Zhang, Tong
  • Tang, Ming
  • Ma, Yankun
  • Zhu, Guangpei
  • Zhang, Qinghe
  • Wu, Jun
  • Xie, Zhizheng

Abstract

The investigation of the mechanism of CO2/water flooding in ultralow-permeability oil reservoir is critical to the enhanced oil recovery. In this study, a series of core flooding experiments in pore and pore-fracture cores subjected to different in situ stresses was conducted, and online LF-NMR technology was employed to dynamically monitor the multiphase flow and pore-fracture behavior. The results show that the percolation pore dominates the volumetric sweep efficiency, the capillary pressure caused by sandstone wettability controls the oil recovery in adsorption pore, and viscosity fingering and thief channeling mainly occurred in migration pore. The oil recovery is primarily contributed by the percolation pore and migration pore in CO2 flooding, and all pores averagely contribute to the oil recovery in water flooding. In addition, the oil recovery in the pore core decreased with the increase of the in situ stress (15–35 MPa) in CO2/water flooding. Compared with the increase of pore-fracture core oil recovery responding to the increased in situ stress in water flooding, the highest pore-fracture core oil recovery presented at 25 MPa followed by 35 MPa and 15 MPa in CO2 flooding. The oil saturated in fracture and fracture-connected pore was firstly displaced, and the evolved heterogeneous morphology of the residual oil was characterized by the increased fractal dimension from 1.5 to 1.7 in CO2 flooding and 1.78 to 1.82 in water flooding responding to the increased in situ stress. The pore core oil recovery rate in CO2 flooding is about 10 times than that in water flooding. The peak value of oil recovery presented at 25 MPa for CO2/water flooding, and the fracture influence is more obvious in water flooding. The findings provide significant guidance to the engineering practice of enhanced oil recovery in ultralow-permeability reservoir.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:252:y:2022:i:c:s0360544222008519
    DOI: 10.1016/j.energy.2022.123948
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222008519
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.123948?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. Zuloaga, Pavel & Yu, Wei & Miao, Jijun & Sepehrnoori, Kamy, 2017. "Performance evaluation of CO2 Huff-n-Puff and continuous CO2 injection in tight oil reservoirs," Energy, Elsevier, vol. 134(C), pages 181-192.
    2. 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).
    3. Yang, Mian & Wang, En-Ze & Hou, Yaru, 2021. "The relationship between manufacturing growth and CO2 emissions: Does renewable energy consumption matter?," Energy, Elsevier, vol. 232(C).
    4. Zhao, Yuechao & Zhang, Yuying & Lei, Xu & Zhang, Yi & Song, Yongchen, 2020. "CO2 flooding enhanced oil recovery evaluated using magnetic resonance imaging technique," Energy, Elsevier, vol. 203(C).
    5. 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.
    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. Wei, Bo & He, Xiaobiao & Li, Xin & Ju, Yiwen & Jin, Jun & Luo, Qiang, 2023. "Residual oil contents of dolomicrite and sandy dolomite tight oil reservoirs after CO2 huff and puff: An experimental study," Energy, Elsevier, vol. 275(C).
    2. Wang, Ziwei & Qin, Yong & Shen, Jian & Li, Teng & Zhang, Xiaoyang & Cai, Ying, 2022. "A novel permeability prediction model for coal based on dynamic transformation of pores in multiple scales," Energy, Elsevier, vol. 257(C).
    3. 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).
    4. Zhou, Guangzhao & Duan, Xianggang & Chang, Jin & Bo, Yu & Huang, Yuhan, 2023. "Investigation of CH4/CO2 competitive adsorption-desorption mechanisms for enhanced shale gas production and carbon sequestration using nuclear magnetic resonance," Energy, Elsevier, vol. 278(PB).

    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. Yang, Renfeng & Jiang, Ruizhong & Guo, Sheng & Chen, Han & Tang, Shasha & Duan, Rui, 2021. "Analytical study on the Critical Water Cut for Water Plugging: Water cut increasing control and production enhancement," Energy, Elsevier, vol. 214(C).
    2. Guo, Yaohao & Liu, Fen & Qiu, Junjie & Xu, Zhi & Bao, Bo, 2022. "Microscopic transport and phase behaviors of CO2 injection in heterogeneous formations using microfluidics," Energy, Elsevier, vol. 256(C).
    3. Hao, Yongmao & Li, Zongfa & Su, Yuliang & Kong, Chuixian & Chen, Hong & Meng, Yang, 2022. "Experimental investigation of CO2 storage and oil production of different CO2 injection methods at pore-scale and core-scale," Energy, Elsevier, vol. 254(PB).
    4. 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).
    5. Wang, H.D. & Chen, Y. & Ma, G.W., 2020. "Effects of capillary pressures on two-phase flow of immiscible carbon dioxide enhanced oil recovery in fractured media," Energy, Elsevier, vol. 190(C).
    6. Kun Qian & Shenglai Yang & Hongen Dou & Qian Wang & Lu Wang & Yu Huang, 2018. "Experimental Investigation on Microscopic Residual Oil Distribution During CO 2 Huff-and-Puff Process in Tight Oil Reservoirs," Energies, MDPI, vol. 11(10), pages 1-16, October.
    7. Wang, Sijia & Jiang, Lanlan & Cheng, Zucheng & Liu, Yu & Zhao, Jiafei & Song, Yongchen, 2021. "Experimental study on the CO2-decane displacement front behavior in high permeability sand evaluated by magnetic resonance imaging," Energy, Elsevier, vol. 217(C).
    8. 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.
    9. Guzmán, Juan Ignacio & Karpunina, Alina & Araya, Constanza & Faúndez, Patricio & Bocchetto, Marcela & Camacho, Rodolfo & Desormeaux, Daniela & Galaz, Juanita & Garcés, Ingrid & Kracht, Willy & Lagos, , 2023. "Chile: On the road to global sustainable mining," Resources Policy, Elsevier, vol. 83(C).
    10. Junrong Liu & Lu Sun & Zunzhao Li & Xingru Wu, 2019. "Experimental Study on Reducing CO 2 –Oil Minimum Miscibility Pressure with Hydrocarbon Agents," Energies, MDPI, vol. 12(10), pages 1-17, May.
    11. Hanamertani, Alvinda Sri & Ahmed, Shehzad, 2021. "Probing the role of associative polymer on scCO2-Foam strength and rheology enhancement in bulk and porous media for improving oil displacement efficiency," Energy, Elsevier, vol. 228(C).
    12. Pradyot Ranjan Jena & Shunsuke Managi & Babita Majhi, 2021. "Forecasting the CO 2 Emissions at the Global Level: A Multilayer Artificial Neural Network Modelling," Energies, MDPI, vol. 14(19), pages 1-23, October.
    13. Fengshuang Du & Bahareh Nojabaei, 2019. "A Review of Gas Injection in Shale Reservoirs: Enhanced Oil/Gas Recovery Approaches and Greenhouse Gas Control," Energies, MDPI, vol. 12(12), pages 1-33, June.
    14. 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.
    15. Wijayasekera, Sachindra Chamode & Hewage, Kasun & Hettiaratchi, Patrick & Razi, Faran & Sadiq, Rehan, 2023. "Planning and development of waste-to-hydrogen conversion facilities: A parametric analysis," Energy, Elsevier, vol. 278(PA).
    16. Chen, Yu & Lin, Boqiang, 2021. "Understanding the green total factor energy efficiency gap between regional manufacturing—insight from infrastructure development," Energy, Elsevier, vol. 237(C).
    17. 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).
    18. Shao, Jun & Wang, Lianghu, 2023. "Can new-type urbanization improve the green total factor energy efficiency? Evidence from China," Energy, Elsevier, vol. 262(PB).
    19. 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).
    20. Qian, Long & Xu, Xiaolin & Sun, Ying & Zhou, Yunjie, 2022. "Carbon emission reduction effects of eco-industrial park policy in China," Energy, Elsevier, vol. 261(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:252:y:2022:i:c:s0360544222008519. 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.