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Evaluation of Potential for Salt Cavern Gas Storage and Integration of Brine Extraction: Cavern Utilization, Yangtze River Delta Region

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Abstract

The Yangtze River delta region of China consumes a large amount of natural gas, but the current gas storage facilities of this region can provide only 19.6 × 108 m3 of natural gas for use, which will be far less than the required gas storage volume of 66.8 × 108 m3 in 2030. The reason is due to lacking suitable underground gas storage space. To meet the space demands of underground gas storage (UGS) in the Yangtze River Delta region, the feasibilities of UGS construction in salt formations including depth of mines, thickness of salt strata, distance to pipelines, and geologic safety of the salt mines are evaluated. The representative blocks of Huai’an salt mine and Fengxian salt mine are suggested as potential sites for UGS construction. To promote UGS construction operation quickly and economically, utilizing the existing caverns can be considered firstly. The evaluation indicates that the existing caverns can store about 12.91 × 108 m3 natural gas for UGS with a cavern utilization rate of 30%. To satisfy the space for residual gas storage, the idea of “integration of brine extraction and cavern utilization” is put forward; that is, salt mining enterprises carefully control the usability of newly increased cavern volume during brine extraction. The forecast shows that about 36.9% of the newly increased cavern volume is sufficient to meet the residual cavern demand of UGS to fulfill a gas store volume of 34.3 × 108 m3 in 2030 in the Yangtze River delta. This research provides an effective method to solve the space need for UGS in the Yangtze River delta; simultaneously, it also presents win–win cooperation for the utilization of abandoned caverns and energy storage.

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References

  • Beckman, K. L., Determeyer, P. L., & Mowrey, E. H. (1995). Natural gas storage: Historical development and expected evolution: December 1994–February 1995. Houston: Gas Research Institute.

    Google Scholar 

  • Benquey, R. (2010). Underground gas storage in the world. In Energy Exploration & Exploitation, 6.

  • Chen, J., Lu, D., Liu, W., Fan, J., Jiang, D., Yi, L., et al. (2019). Stability study and optimization design of small-spacing two-well (SSTW) salt caverns for natural gas storages. Journal of Energy Storage. https://doi.org/10.1016/j.est.2019.101131.

    Article  Google Scholar 

  • Chen, J., Zhao, Y., Shen, X., & Wang, J. (2017). Interpretation of and reflection upon the opinions on accelerating the utilization of natural gas. Natural Gas Industry Journal Agency, 37(7), 139–144.

    Google Scholar 

  • China 2050 High renewable energy penetration scenario and roadmap study. Retrieved April 20, 2015 from http://www.efchina.org/Reports-en/china-2050-high-renewable-energy-penetration-scenario-and-roadmap-study-en.

  • China Natural Gas Development Report. (2019). http://www.xinhuanet.com/2019-08/31/c_1124945922.htm

  • De, G., & Gao, W. (2018). Forecasting China’s natural gas consumption based on AdaBoost-particle swarm optimization-extreme learning machine integrated learning method. Energies, 11, 2938.

    Google Scholar 

  • Development planning of urban agglomeration in Yangtze River delta. Ministry of Housing and Urban-Rural Development, National Development and Reform Commission of China, 2016. Retrieved June 1, 2016 from http://bgt.ndrc.gov.cn/zcfb/201606/t20160603_806400.html.

  • Dong, K., Sun, R., Li, H., & Jiang, H. (2017). A review of china’s energy consumption structure and outlook based on a long-range energy alternatives modeling tool. Petroleum Science, 14, 214–227.

    Google Scholar 

  • Elcock, D. (1998). Risk assessment of nonhazardous oilfield waste disposal in salt caverns. Office of Scientific & Technical Information Technical Reports.

  • Evans, D. J., & Chadwick, R. A. (2009). Underground gas storage: worldwide experiences and future development in the UK and Europe. London: Geological Society of London.

    Google Scholar 

  • Fan, J., Chen, J., Jiang, D., Chemenda, A., Chen, J., & Ambre, J. (2017). Discontinuous cyclic loading test with acoustic emission monitoring. International Journal of Fatigue, 94(1), 140–144.

    Google Scholar 

  • Fan, J., Chen, J., Jiang, D., Wu, J., Shu, C., & Liu, W. (2019a). A stress model reflecting the effect of the friction angle on rockbursts in coal mines. Geomechanics and Engineering, 18(1), 21–27.

    Google Scholar 

  • Fan, C., Li, S., Luo, M., Zhou, L., Zhang, H., & Yang, Z. (2019b). Effects of N- and S functionalities on binary gases Co-adsorption onto coal macromolecule. Energy and Fuels, 33(5), 3934–3946.

    Google Scholar 

  • Fan, J., Xie, H., Chen, J., Jiang, D., Li, C., Tiedeu, W. N., et al. (2020). Preliminary feasibility analysis of a hybrid pumped-hydro energy storage system using abandoned coal mine goafs. Applied Energy. https://doi.org/10.1016/j.apenergy.2019.114007.

    Article  Google Scholar 

  • Federal Energy Regulatory Commission (FERC). Current state of and issues concerning underground natural gas storage, 2004. Docket No. AD04–11–000.

  • GIE Storage Map. Gas Infrastructure Europe. Retrieved December, 2018 from https://www.gie.eu/index.php/gie–publications/maps–data/gse–storage–map.

  • Guo, C., Pan, L., Zhang, K., Oldenburg, C. M., Li, C., & Li, Y. (2016). Comparison of compressed air energy storage process in aquifers and caverns based on the Huntorf CAES plant. Applied Energy, 181, 342–356.

    Google Scholar 

  • Jong, C. D. (2015). Gas storage valuation and optimization. Journal of Natural Gas Science and Engineering, 24, 365–378.

    Google Scholar 

  • Li, X., Li, Z., Wang, E., Liang, Y., Li, B., Chen, P., et al. (2018). Pattern recognition of mine microseismic (MS) and blasting events based on wave fractal features. Fractals, 26(3), 1850029.

    Google Scholar 

  • Li, J., Tang, Y., Shi, X., Xu, W., & Yang, C. (2019a). Modeling the construction of energy storage salt caverns in bedded salt. Applied Energy, 255, 113866.

    Google Scholar 

  • Li, J., Xu, W., Zheng, J., Liu, W., Shi, X., & Yang, C. (2019b). Modeling the mining of energy storage salt caverns using a structural dynamic mesh. Energy. https://doi.org/10.1016/j.energy.2019.116730.

    Article  Google Scholar 

  • Liu, W., Chen, J., Jiang, D., Shi, X., Li, Y., Daemen, J. J. K., et al. (2016a). Tightness and suitability evaluation of abandoned salt caverns served as hydrocarbon energies storage under adverse geological conditions (AGC). Applied Energy, 178, 703–720.

    Google Scholar 

  • Liu, W., Jiang, D., Chen, J., Daemen, J. J. K., Tang, K., & Wu, F. (2018). Comprehensive feasibility study of two-well-horizontal caverns for natural gas storage in thinly-bedded salt rocks in China. Energy, 143, 1006–1019.

    Google Scholar 

  • Liu, S., Li, X., Wang, D., Wu, M., Yin, G., & Li, M. (2019a). Mechanical and acoustic emission characteristics of coal at temperature impact. Natural Resources Researchhttps://doi.org/10.1007/s11053-019-09562-w.

    Article  Google Scholar 

  • Liu, W., Li, Y., Yang, C., Jiang, D., Daemen, J. J. K., Chen, J., et al. (2016b). A new method of surface subsidence prediction for natural gas storage cavern in bedded rock salts. Environmental Earth Sciences, 75(9), 800.

    Google Scholar 

  • Liu, E., Lv, L., Yi, Y., & Xie, P. (2019b). Research on the steady operation optimization model of natural gas pipeline considering the combined operation of air coolers and compressors. IEEE Access, 7, 83251–83265.

    Google Scholar 

  • Liu, W., Muhammad, N., Chen, J., Spiers, C. J., Peach, C. J., Deyi, J., et al. (2016c). Investigation on the permeability characteristics of bedded salt rocks and the tightness of natural gas caverns in such formations. Journal of Natural Gas Science and Engineering, 35, 468–482.

    Google Scholar 

  • Liu, W., Wang, B., Li, Y., & Yang, C. (2014). The collapse mechanics of water solution mining of salt mine and the comprehensive treatments of protection, treatment and application. International Journal of Earth Sciences and Engineering, 4(7), 1295–1304.

    Google Scholar 

  • Liu, W., Zhang, Z., Fan, J., Jiang, D., Daemen, J.J.K. (2020). Research on the stability and treatments of natural gas storage caverns with different shapes in bedded salt rocks. IEEE Access, 8, 18995–19007.

    Google Scholar 

  • Ma, X., Zheng, D., Shen, R., Wang, C., Luo, J., & Sun, J. (2018). Key technologies and practice for gas field storage facility construction of complex geological conditions in china. Petroleum Exploration & Development, 45(3), 507–520.

    Google Scholar 

  • Nagel, T., Böttcher, N., Görke, U. J., & Kolditz, O. (2017). Simulating Gas Storage in Salt Caverns. Computational Geotechnics, 4, 45–62.

    Google Scholar 

  • Natural Gas Supply Association (NGSA). Storage of natural gas. Retrieved June 27, 2007 from http://www.naturalgas.org/naturalgas/storage.asp.

  • Peng, S., Chen, Q., Zheng, C., & Liu, E. (2019). Analysis of particle deposition in a new-type rectifying plate system during shale gas extraction. Energy Science & Engineering. https://doi.org/10.1002/ese3.543.

    Article  Google Scholar 

  • Peng, H., Fan, J., Zhang, X., Chen, J., Li, Z., Jiang, D., et al. (2020). Computed tomography analysis on cyclic fatigue and damage properties of rock salt under gas pressure. International Journal of Fatigue, 134, 105523. https://doi.org/10.1016/j.ijfatigue.2020.105523.

    Article  Google Scholar 

  • Platt, J. B. (2007). Issues in energy economics led by emerging linkages between the natural gas and power sectors. Natural Resources Research, 16(3), 263–275.

    Google Scholar 

  • Qiao, W., Li, B., Kang, Z. (2019a). Differential scanning calorimetry and electrochemical tests for the analysis of delamination of 3PE coatings. International Journal of Electrochemical Science, 14, 7389–7400.

    Google Scholar 

  • Qiao, W., Tian, W., Tian, Y., Yang, Q., Wang, Y., & Zhang, J. (2019b). The forecasting of PM2.5 using a hybrid model based on wavelet transform and an improved deep learning algorithm. IEEE Access, 7, 142814–142825.

    Google Scholar 

  • Qiao, W., & Yang, Z. (2019a). Modified dolphin swarm algorithm based on chaotic maps for solving high-dimensional function optimization problems. IEEE Access, 7, 110472–110486.

    Article  Google Scholar 

  • Qiao, W., & Yang, Z. (2019b). Solving large-scale function optimization problem by using a new metaheuristic algorithm based on quantum dolphin swarm algorithm. IEEE Access, 7, 138972–138989.

    Google Scholar 

  • Salt Caverns Account for 23% of U.S. Underground natural gas storage daily deliver–ability. Retrieved September 22, 2011, from http://www.eia.gov/todayinenergy/detail.cfm?id=3190.

  • Shaikh, F., & Ji, Q. (2016). Forecasting natural gas demand in China: Logistic modelling analysis. International Journal of Electrical Power & Energy Systems, 77, 25–32.

    Google Scholar 

  • Shi, X., Li, Y., Yang, C., Xu, Y., Ma, H., Liu, W., et al. (2015). Influences of filling abandoned salt caverns with alkali wastes on surface subsidence. Environmental Earth Sciences, 73(11), 6939–6950.

    Google Scholar 

  • Shi, X., Liu, W., Chen, J., Yang, C., Li, Y., Ma, H., et al. (2017). Geological feasibility of underground oil storage in Jintan salt mine of China. Advances in Materials Science and Engineering, 3, 1–11.

    Google Scholar 

  • Shu, C., Wang, H., Li, X., Fan, J., & Ye, X. (2019). A thermo–hydro–mechanical model: capturing the effects of initial permeability and gas pressure on outburst-prone indicators. Natural Resources Research. https://doi.org/10.1007/s11053-019-09574-6.

    Article  Google Scholar 

  • Sobolik, S. R., & Lord, A. S. (2015). Operation, maintenance, and monitoring of large-diameter caverns in oil storage facilities in domal salt. In K. Mellegard & F. Hansen (Eds.), L Roberts. London: Mechanical behaviour of salt VIII. Taylor & Francis Group. ISBN 978-1-138-02840-1.

    Google Scholar 

  • Specter, H. (2009). A sustainable U.S. energy plan. Natural Resources Research, 18, 285.

    Google Scholar 

  • Su, Z., Liu, E., Xu, Y., Xie, P., Shang, C., & Zhu, Q. (2019). Flow field and noise characteristics of manifold in natural gas transportation station. Oil & Gas Science and Technology-Revue d’IFP Energies nouvelles, 74, 70.

    Google Scholar 

  • The 13th five-year plan for natural gas development. National Development and Reform Commission of China, 2016. Retrieved June 7, 2017, from http://www.ndrc.gov.cn/fzgggz/fzgh/ghwb/gjjgh/201706/t20170607_850207.html.

  • Thienen-Visse, K. V., Hendriks, D., Marsman, A., Nepveu, M., Groenenberg, R., & Wildenborg, T. (2014). Bow–tie risk assessment combining causes and effects applied to gas oil storage in an abandoned salt cavern. Engineering Geology, 168, 149–166.

    Google Scholar 

  • Thoms, R. L., & Gehle, R. M. (2000). A brief history of salt cavern use (keynote paper). In: Geertman RM, editor. Proceedings of 8th world salt symposium, Part 1, Amsterdam. The Netherlands: Elsevier B.V., 2000. p. 207–214.

  • Toscano, A., Bilotti, F., Asdrubali, F., Guattari, C., Evangelisti, L., & Basilicata, C. (2016). Recent trends in the world gas market: Economical. Geopolitical and Environmental Aspects. Sustainability, 8, 154.

    Google Scholar 

  • Use of natural gas–U.S. Energy Information Administration (EIA). Retrieved July 10, 2019, from https://www.eia.gov/energyexplained/natural-gas/use-of-natural-gas.php.

  • Wang, T., Yan, X., Yang, H., Yang, X., Jiang, T., & Zhao, S. (2013). A new shape design method of salt cavern used as underground gas storage. Applied Energy, 104, 50–61.

    Google Scholar 

  • Wu, F., Gao, R., Zou, Q., Chen, J., Liu, W., & Peng, K. (2020). Long-term strength determination and nonlinear creep damage constitutive model of salt rock based on multistage creep test: implications for underground natural gas storage in salt cavern. Energy Science and Engineeringhttps://doi.org/10.1002/ese3.617.

    Article  Google Scholar 

  • Xiong, J., Huang, X., & Ma, H. (2015). Gas leakage in bedded salt rock storage cavern considering damaged interface. Petroleum, 1(4), 366–372.

    Google Scholar 

  • Yang, S., He, S., & Yang, B. (2003). The operation practice and evaluation for Dazhangtuo UGS. Natural Gas Geoscience, 14(5), 425–428.

    Google Scholar 

  • Yang, C., Li, Y., & Chen, F. (2009). Bedded salt rock mechanics and engineering. Beijing: Science Press.

    Google Scholar 

  • Yang, X., Wan, H., Zhang, Q., Zhou, J., & Chen, S. (2016). A scenario analysis of oil and gas consumption in China to 2030 considering the peak CO2 emission constraint. Petroleum Science, 13, 370–383.

    Google Scholar 

  • Yang, C., Wang, T., Li, Y., Yang, H., Li, J., Qu, D., et al. (2015). Feasibility analysis of using abandoned salt caverns for large-scale underground energy storage in China. Applied Energy, 137, 467–481.

    Google Scholar 

  • Zhang, Z., Jiang, D., Liu, W., Chen, J., Li, E., Fan, J., et al. (2019). Study on the mechanism of roof collapse and leakage of horizontal cavern in thinly bedded salt rocks. Environmental Earth Sciences, 78(10), 292.

    Google Scholar 

  • Zhang, G., Li, Y., Daemen, J. J. K., Yang, C., Wu, Y., et al. (2015a). Geotechnical Feasibility Analysis of Compressed Air Energy Storage (CAES) in Bedded Salt Formations: a Case Study in Huai’an City. China. Rock Mechanics and Rock Engineering, 48(5), 2111–2127.

    Google Scholar 

  • Zhang, G., Li, Y., Yang, C., & Daemen, J. J. K. (2014). Stability and tightness evaluation of bedded rock salt formations for underground gas/oil storage. Acta Geotechnica, 9(1), 161–179.

    Google Scholar 

  • Zhang, M., Su, M., Lu, W., & Su, C. (2015b). An Assessment of the Security of China’s Natural Gas Supply System Using Two Network Models. Energies, 8(12), 13710–13725.

    Google Scholar 

  • Zhou, G., Moayedi, H., Bahiraei, M., & Lyu, Z. (2020a). Employing artificial bee colony and particle swarm techniques for optimizing a neural network in prediction of heating and cooling loads of residential buildings. Journal of Cleaner Production2020, 120082. https://doi.org/10.1016/j.jclepro.2020.120082.

    Article  Google Scholar 

  • Zhou, G., Moayedi, H., & Foong, L.K. (2020b). Teaching-learning-based metaheuristic scheme for modifying neural computing in appraising energy performance of building. Engineering with Computers. https://doi.org/10.1007/s00366-020-00981-5.

    Article  Google Scholar 

  • Zhou, S., Wang, Z., Liu, Z., & Shi, X. (2017). Control mechanism of tectonic evolution to the forming process of a salt mine in Hongze Sag. Soil Engineering and Foundation, 31(2), 87–90 + 95

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Acknowledgments

The authors would gratefully like to acknowledge the financial support from the National Natural Science Foundation of China (Nos. 51604144, 41672292, 51834003, 51574048, 51874273, and 51774266), Chongqing Basic Research and Frontier Exploration Project (cstc2018jcyjAX0441), Fundamental Research Funds for the Central Universities (Nos. 2018CDQYZH0018 and Advances in Materials Science and Engineering 19cqu2018CDHB1B09), and the project of the State Key Laboratory of Coal Mine Disasters Dynamics and Control (2011A105287-RC201901), which are all greatly appreciated.

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Liu, W., Zhang, X., Fan, J. et al. Evaluation of Potential for Salt Cavern Gas Storage and Integration of Brine Extraction: Cavern Utilization, Yangtze River Delta Region. Nat Resour Res 29, 3275–3290 (2020). https://doi.org/10.1007/s11053-020-09640-4

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