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Prediction method for calculating the porosity of insoluble sediments for salt cavern gas storage applications

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  • Li, Peng
  • Li, Yinping
  • Shi, Xilin
  • Zhao, Kai
  • Liu, Xin
  • Ma, Hongling
  • Yang, Chunhe

Abstract

Many insoluble sediments accumulate at cavern bottoms during the construction of salt caverns located in highly insoluble salt formations. Before using the void space for gas storage, knowing the porosity is essential for predicting void volume of insoluble sediments. However, most previous studies have focused on construction and operation of salt caverns, and insoluble sediments have been largely ignored. In this study, a series of laboratory tests, including screening and porosity tests, are conducted to obtain the particle size distribution and porosity of samples obtained by dissolving the nonsalt interlayers of target cavern. The results show that the porosity values of the samples decreases with increasing of fractal dimensions and have no relation to the maximum particle size when the fractal dimension is constant. Based on these results, a porosity prediction method is proposed to calculate the porosity of insoluble sediments combined with fractal and packing theories. In this method, the fractal dimension and the compaction index should be controlled within a reasonable range. The accuracy and reliability of this model was studied by calculating the porosity of insoluble sediments in an actual salt cavern. This study can provide a reference for evaluating the void volume in insoluble sediments.

Suggested Citation

  • Li, Peng & Li, Yinping & Shi, Xilin & Zhao, Kai & Liu, Xin & Ma, Hongling & Yang, Chunhe, 2021. "Prediction method for calculating the porosity of insoluble sediments for salt cavern gas storage applications," Energy, Elsevier, vol. 221(C).
  • Handle: RePEc:eee:energy:v:221:y:2021:i:c:s0360544221000645
    DOI: 10.1016/j.energy.2021.119815
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    References listed on IDEAS

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    1. Liu, Wei & Zhang, Zhixin & Chen, Jie & Jiang, Deyi & Wu, Fei & Fan, Jinyang & Li, Yinping, 2020. "Feasibility evaluation of large-scale underground hydrogen storage in bedded salt rocks of China: A case study in Jiangsu province," Energy, Elsevier, vol. 198(C).
    2. Liu, Wei & Jiang, Deyi & Chen, Jie & Daemen, J.J.K. & Tang, Kang & Wu, Fei, 2018. "Comprehensive feasibility study of two-well-horizontal caverns for natural gas storage in thinly-bedded salt rocks in China," Energy, Elsevier, vol. 143(C), pages 1006-1019.
    3. Yang, Chunhe & Wang, Tongtao & Li, Yinping & Yang, Haijun & Li, Jianjun & Qu, Dan’an & Xu, Baocai & Yang, Yun & Daemen, J.J.K., 2015. "Feasibility analysis of using abandoned salt caverns for large-scale underground energy storage in China," Applied Energy, Elsevier, vol. 137(C), pages 467-481.
    4. Slizowski, J. & Lankof, L., 2003. "Salt-mudstones and rock-salt suitabilities for radioactive-waste storage systems: rheological properties," Applied Energy, Elsevier, vol. 75(1-2), pages 137-144, May.
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    Citations

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    Cited by:

    1. He, Tao & Wang, Tongtao & Wang, Duocai & Xie, Dongzhou & Dong, Zhikai & Zhang, Hong & Ma, Tieliang & Daemen, J.J.K., 2023. "Integrity analysis of wellbores in the bedded salt cavern for energy storage," Energy, Elsevier, vol. 263(PB).
    2. 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).
    3. Li, Jinlong & Zhang, Ning & Xu, Wenjie & Naumov, Dmitri & Fischer, Thomas & Chen, Yunmin & Zhuang, Duanyang & Nagel, Thomas, 2022. "The influence of cavern length on deformation and barrier integrity around horizontal energy storage salt caverns," Energy, Elsevier, vol. 244(PB).
    4. Wei, Xinxing & Shi, Xilin & Li, Yinping & Liu, Hejuan & Li, Peng & Ban, Shengnan & Liang, Xiaopeng & Zhu, Shijie & Zhao, Kai & Yang, Kun & Huang, Si & Yang, Chunhe, 2023. "Advances in research on gas storage in sediment void of salt cavern in China," Energy, Elsevier, vol. 284(C).
    5. Wang, Junbao & Wang, Xiaopeng & Zhang, Qiang & Song, Zhanping & Zhang, Yuwei, 2021. "Dynamic prediction model for surface settlement of horizontal salt rock energy storage," Energy, Elsevier, vol. 235(C).
    6. Zhang, Xiong & Liu, Wei & Jiang, Deyi & Qiao, Weibiao & Liu, Enbin & Zhang, Nan & Fan, Jinyang, 2021. "Investigation on the influences of interlayer contents on stability and usability of energy storage caverns in bedded rock salt," Energy, Elsevier, vol. 231(C).
    7. Liu, Xin & Shi, Xilin & Li, Yinping & Ye, Liangliang & Wei, Xinxing & Zhu, Shijie & Bai, Weizheng & Ma, Hongling & Yang, Chunhe, 2023. "Synthetic salt rock prepared by molten salt crystallization and its physical and mechanical properties," Energy, Elsevier, vol. 269(C).
    8. Qiao, Weibiao & Fu, Zonghua & Du, Mingjun & Nan, Wei & Liu, Enbin, 2023. "Seasonal peak load prediction of underground gas storage using a novel two-stage model combining improved complete ensemble empirical mode decomposition and long short-term memory with a sparrow searc," Energy, Elsevier, vol. 274(C).
    9. Li, Peng & Li, Yinping & Shi, Xilin & Zhao, Kai & Liang, Xiaopeng & Ma, Hongling & Yang, Chunhe & Liu, Kai, 2022. "Compaction and restraining effects of insoluble sediments in underground energy storage salt caverns," Energy, Elsevier, vol. 249(C).

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