IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v237y2024ipcs0960148124019621.html
   My bibliography  Save this article

Experiment and prediction of enhanced gas storage capacity in depleted gas reservoirs for clean energy applications

Author

Listed:
  • Wang, Qing
  • Zhang, Mengchuan
  • Zhou, Fujian
  • Fei, Hongtao
  • Yu, Sen
  • Su, Hang
  • Liang, Tianbo
  • Chen, Zhangxin

Abstract

Utilizing depleted gas reservoirs for gas storage is the most efficient method. However, the impact of multi-cycle injection-production and water invasion on rock properties and gas-water seepage dynamics remains unclear. This study investigates such reservoirs' multi-cycle stress sensitivity and gas-water displacement behavior. Results show that multi-cycle injection-production and water invasion increase the stress sensitivity of the gas and damage gas storage space and seepage channels. This study also proposed a new unsteady gas-water relative permeability testing method and a prediction model based on in-situ X-ray CT scanning, improving measurement accuracy by 30 %. The results found that the gas's relative permeability is directly proportional to the injection rate and inversely proportional to the initial gas saturation. A gas-water relative permeability model was established, demonstrating that gas-water interference intensifies as the number of cycles increases. In a gas-water transition zone in depleted gas reservoirs, gas relative permeability damage reaches 81 %, reducing the movable pore space and impacting injection-production rates and capacity. This study offers valuable recommendations for optimizing production and dynamic prediction in depleted gas reservoirs, contributing to clean energy applications.

Suggested Citation

  • Wang, Qing & Zhang, Mengchuan & Zhou, Fujian & Fei, Hongtao & Yu, Sen & Su, Hang & Liang, Tianbo & Chen, Zhangxin, 2024. "Experiment and prediction of enhanced gas storage capacity in depleted gas reservoirs for clean energy applications," Renewable Energy, Elsevier, vol. 237(PC).
    • Handle: RePEc:eee:renene:v:237:y:2024:i:pc:s0960148124019621
    DOI: 10.1016/j.renene.2024.121894
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124019621
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.121894?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. Qiu, Yue & Zhou, Suyang & Wang, Jihua & Chou, Jun & Fang, Yunhui & Pan, Guangsheng & Gu, Wei, 2020. "Feasibility analysis of utilising underground hydrogen storage facilities in integrated energy system: Case studies in China," Applied Energy, Elsevier, vol. 269(C).
    2. Yu, Likui & Wu, Xiaotian & Wang, Yadan & Ma, Weiwu & Liu, Gang, 2020. "Stratified rock hydraulic fracturing for enhanced geothermal system and fracture geometry evaluation via effective length," Renewable Energy, Elsevier, vol. 152(C), pages 713-723.
    3. Song, Yilei & Song, Zhaojie & Chen, Zhangxin & Zhang, Lichao & Zhang, Yunfei & Feng, Dong & Wu, Zhengbin & Wu, Jiapeng, 2024. "Fluid phase behavior in multi-scale shale reservoirs with nano-confinement effect," Energy, Elsevier, vol. 289(C).
    4. Guoying Jiao & Shijie Zhu & Fei Xie & Shuhe Yang & Zuping Xiang & Jiangen Xu, 2022. "Study of the Characterisation Method of Effective Two-Phase Seepage Flow in the Construction of Gas Storage Reservoirs," Energies, MDPI, vol. 16(1), pages 1-10, December.
    5. Vo Thanh, Hung & Zamanyad, Aiyoub & Safaei-Farouji, Majid & Ashraf, Umar & Hemeng, Zhang, 2022. "Application of hybrid artificial intelligent models to predict deliverability of underground natural gas storage sites," Renewable Energy, Elsevier, vol. 200(C), pages 169-184.
    6. 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).
    7. Zhang, Rongda & Wei, Jing & Zhao, Xiaoli & Liu, Yang, 2022. "Economic and environmental benefits of the integration between carbon sequestration and underground gas storage," Energy, Elsevier, vol. 260(C).
    8. Liu, Xin & Shi, Xilin & Li, Yinping & Li, Peng & Zhao, Kai & Ma, Hongling & Yang, Chunhe, 2021. "Maximum gas production rate for salt cavern gas storages," Energy, Elsevier, vol. 234(C).
    9. Jello, Josiane & Khan, Manzoor & Malkewicz, Nick & Whittaker, Steven & Baser, Tugce, 2022. "Advanced geothermal energy storage systems by repurposing existing oil and gas wells: A full-scale experimental and numerical investigation," Renewable Energy, Elsevier, vol. 199(C), pages 852-865.
    10. Lankof, Leszek & Urbańczyk, Kazimierz & Tarkowski, Radosław, 2022. "Assessment of the potential for underground hydrogen storage in salt domes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    11. Yang, Shenyao & Hu, Shilai & Qi, Zhilin & Qi, Huiqing & Zhao, Guanqun & Li, Jiqiang & Yan, Wende & Huang, Xiaoliang, 2024. "Experiment and prediction for dynamic storage capacity of underground gas storage rebuilt from hydrocarbon reservoir," Renewable Energy, Elsevier, vol. 222(C).
    12. Kou, Zuhao & Xin, Yuchen & Wang, Heng & Qu, Yunkai & Li, Yunfei & Zhu, Haiyan, 2024. "Exploring CO2 storage with impurities in deep saline aquifers through computational experiments," Renewable Energy, Elsevier, vol. 223(C).
    13. Deng, Peng & Chen, Zhangxin & Peng, Xiaolong & Wang, Jianfeng & Zhu, Suyang & Ma, Haoming & Wu, Zhengbin, 2023. "Optimized lower pressure limit for condensate underground gas storage using a dynamic pseudo-component model," Energy, Elsevier, vol. 285(C).
    14. Feng, Guanhong & Wang, Yu & Xu, Tianfu & Wang, Fugang & Shi, Yan, 2021. "Multiphase flow modeling and energy extraction performance for supercritical geothermal systems," Renewable Energy, Elsevier, vol. 173(C), pages 442-454.
    15. Song, Hongqing & Lao, Junming & Zhang, Liyuan & Xie, Chiyu & Wang, Yuhe, 2023. "Underground hydrogen storage in reservoirs: pore-scale mechanisms and optimization of storage capacity and efficiency," Applied Energy, Elsevier, vol. 337(C).
    16. Wang, Jinkai & Feng, Xiaoyong & Wanyan, Qiqi & Zhao, Kai & Wang, Ziji & Pei, Gen & Xie, Jun & Tian, Bo, 2022. "Hysteresis effect of three-phase fluids in the high-intensity injection–production process of sandstone underground gas storages," Energy, Elsevier, vol. 242(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. Long, Keji & Tang, Yong & He, Youwei & Luo, Yulong & Hong, Yinghe & Sun, Yu & Rui, Zhenhua, 2024. "Full-cycle enhancing condensate recovery-underground gas storage by integrating cyclic gas flooding and storage from gas condensate reservoirs," Energy, Elsevier, vol. 293(C).
    2. Tarkowski, R. & Uliasz-Misiak, B., 2022. "Towards underground hydrogen storage: A review of barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    3. Chu, Hongyang & Zhang, Liang & Lu, Huimin & Chen, Danyang & Wang, Jianping & Zhu, Weiyao & Lee, W. John, 2024. "Transient pressure prediction in large-scale underground natural gas storage: A deep learning approach and case study," Energy, Elsevier, vol. 311(C).
    4. Zhu, Shijie & Shi, Xilin & Yang, Chunhe & Li, Yinping & Li, Hang & Yang, Kun & Wei, Xinxing & Bai, Weizheng & Liu, Xin, 2023. "Hydrogen loss of salt cavern hydrogen storage," Renewable Energy, Elsevier, vol. 218(C).
    5. Gao, Jidong & Kong, Debin & Peng, Yingfeng & Zhou, Yunzhu & Liu, Yuwei & Zhu, Weiyao, 2023. "Pore-scale mechanisms and hysteresis effect during multi-cycle injection and production process in underground hydrogen storage reservoir," Energy, Elsevier, vol. 283(C).
    6. Song, Rui & Wu, Mingyang & Liu, Jianjun & Yang, Chunhe, 2024. "Pore scale modeling on microbial hydrogen consumption and mass transfer of multicomponent gas flow in underground hydrogen storage of depleted reservoir," Energy, Elsevier, vol. 306(C).
    7. Tarkowski, Radosław & Lankof, Leszek & Luboń, Katarzyna & Michalski, Jan, 2024. "Hydrogen storage capacity of salt caverns and deep aquifers versus demand for hydrogen storage: A case study of Poland," Applied Energy, Elsevier, vol. 355(C).
    8. Hunt, Julian David & Nascimento, Andreas & Zakeri, Behnam & Barbosa, Paulo Sérgio Franco, 2022. "Hydrogen Deep Ocean Link: a global sustainable interconnected energy grid," Energy, Elsevier, vol. 249(C).
    9. Yu Wang & Tianfu Xu & Yuxiang Cheng & Guanhong Feng, 2022. "Prospects for Power Generation of the Doublet Supercritical Geothermal System in Reykjanes Geothermal Field, Iceland," Energies, MDPI, vol. 15(22), pages 1-15, November.
    10. Chao Yin & Wenbo Tian & Fa Che & Bing Guo & Shaoping Wang & Zhirong Jia, 2023. "Model tests and numerical simulations on hydraulic fracturing and failure mechanism of rock landslides," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(3), pages 1977-1996, February.
    11. Wang, Zhipeng & Ning, Zhengfu & Guo, Wenting & Chen, Zhangxin, 2024. "Application of pressure small signals extraction and amplification technology in abandoned well pattern for geothermal energy extraction and H2 storage: Numerical modeling and economic analysis," Energy, Elsevier, vol. 310(C).
    12. Dariusz Knez & Omid Ahmad Mahmoudi Zamani, 2023. "Up-to-Date Status of Geoscience in the Field of Natural Hydrogen with Consideration of Petroleum Issues," Energies, MDPI, vol. 16(18), pages 1-17, September.
    13. Yin, Linfei & Zhang, Bin, 2023. "Relaxed deep generative adversarial networks for real-time economic smart generation dispatch and control of integrated energy systems," Applied Energy, Elsevier, vol. 330(PA).
    14. Shaojie Song & Haiyang Lin & Peter Sherman & Xi Yang & Chris P. Nielsen & Xinyu Chen & Michael B. McElroy, 2021. "Production of hydrogen from offshore wind in China and cost-competitive supply to Japan," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    15. Yi Zhang & Wenjing Li & Guodong Chen, 2022. "A Thermodynamic Model for Carbon Dioxide Storage in Underground Salt Caverns," Energies, MDPI, vol. 15(12), pages 1-20, June.
    16. Xiang, Yue & Cai, Hanhu & Liu, Junyong & Zhang, Xin, 2021. "Techno-economic design of energy systems for airport electrification: A hydrogen-solar-storage integrated microgrid solution," Applied Energy, Elsevier, vol. 283(C).
    17. He, Youwei & Xie, Yixiang & Qiao, Yu & Qin, Jiazheng & Tang, Yong, 2024. "Estimation of underground hydrogen storage capacity in depleted gas reservoirs using CO2 as cushion gas," Applied Energy, Elsevier, vol. 375(C).
    18. Yu, Minggao & Yang, Ning & Li, Haitao & Wang, Liang & Wu, Mingqiu & Wang, Fengchuan & Chu, Tingxiang & Wang, Kai, 2024. "Numerical investigation on the effects of axial-stress loads on the temperature-programmed oxidation characteristics of loose broken coal," Energy, Elsevier, vol. 289(C).
    19. Xue, Tianfu & Shi, Xilin & Wang, Guibin & Liu, Xin & Wei, Xinxing & Ding, Shuanglong & Fu, Xinghui, 2024. "Study on repairing technical parameters of irregular gas storage salt caverns," Energy, Elsevier, vol. 293(C).
    20. Feng, Guanhong & Xu, Tianfu & Zhao, Yue'an & Gherardi, Fabrizio, 2022. "Heat mining from super-hot horizons of the Larderello geothermal field, Italy," Renewable Energy, Elsevier, vol. 197(C), pages 371-383.

    More about this item

    Statistics

    Access and download statistics

    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:renene:v:237:y:2024:i:pc:s0960148124019621. 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/renewable-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.