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Underground Gas Storage Process Optimisation with Respect to Reservoir Parameters and Production Equipment

Author

Listed:
  • Vladislav Brkić

    (Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb, 10000 Zagreb, Croatia)

  • Ivan Zelenika

    (Podzemno skladište plina d.o.o., Veslačka 2-4, 10000 Zagreb, Croatia)

  • Petar Mijić

    (Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb, 10000 Zagreb, Croatia)

  • Igor Medved

    (Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb, 10000 Zagreb, Croatia)

Abstract

The storage of natural gas in geological structures such as depleted fields, aquifers and salt caverns plays an important role in a gas supply system as it balances the fluctuation of gas demand and price. Hydraulic loss due to fluid flow through gas storage production equipment and an interfering effect from nonequal productivity index of storage wells may have an important influence on gas storage performance. An integrated mathematical model is developed based on underground gas storage facility production data. Using this model, the hydraulic loss is determined. A real test case that consists of a gas storage reservoir linked to the surface facility is analysed. The mathematical model uses an experimentally determined pressure drop coefficient in chokes. The base case scenario created using real gas storage facility data enables the achievement of a good history match with the given parameters of the gas storage reservoir. Using the history match simulation case as an initial scenario (a base case), two different scenarios are created to determine the injection and withdrawal performance of the gas storage field. The results indicate that the pressure drop in chokes, when fully open as a constraints in an underground gas storage facility, has a significant impact on gas storage operations and deliverability.

Suggested Citation

  • Vladislav Brkić & Ivan Zelenika & Petar Mijić & Igor Medved, 2021. "Underground Gas Storage Process Optimisation with Respect to Reservoir Parameters and Production Equipment," Energies, MDPI, vol. 14(14), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4324-:d:596447
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    Cited by:

    1. Peng, Jinghong & Zhou, Jun & Liang, Guangchuan & Li, Chengyu & Qin, Can, 2024. "Multi-period integrated scheduling optimization of complex natural gas pipeline network system with underground gas storage to ensure economic and environmental benefits," Energy, Elsevier, vol. 302(C).

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