References
- Alinia Kashani, A. H., and R. Molaei. 2014. Techno-economical and environmental optimization of natural gas network operation [J]. Chemical Engineering Research & Design 92 (11):2106–22. doi:https://doi.org/10.1016/j.cherd.2014.02.006.
- Amosa, M., and T. Majozi. 2016. GAMS supported optimization and predictability study of a multi-objective adsorption process with conflicting regions of optimal operating conditions [J]. Computers & Chemical Engineering 94:354–61. doi:https://doi.org/10.1016/j.compchemeng.2016.08.014.
- Arya, A.K., and S.Honwad. 2016. Modeling, Simulation, and Optimization of a High-Pressure Cross-Country Natural Gas Pipeline: Application of an Ant Colony Optimization Technique [J]. Journal of Pipeline Systems Engineering and Practice 7 (1):04015008. doi:https://doi.org/10.1061/(ASCE)PS.1949-1204.0000206.
- Behrooz, H., and R. Boozarjomehry. 2017. Dynamic optimization of natural gas networks under customer demand uncertainties[J]. Energy 134:968–83. doi:https://doi.org/10.1016/j.energy.2017.06.087.
- Borraz-Sanchez, C., and R. Z. Rios-Mercado. 2009. Improving the operation of pipeline systems on cyclic structures by tabu search [J]. Computers & Chemical Engineering 33 (1):58–64. doi:https://doi.org/10.1016/j.compchemeng.2008.07.009.
- CEDIGAZ. Underground Gas Storage in the World-2020 status [R]. October 2020.
- Drouven, M., and I. Grossmann. 2017. Mixed-integer programming models for line pressure optimization in shale gas gathering systems [J]. Journal of Petroleum Science and Engineering 157:1021–32. doi:https://doi.org/10.1016/j.petrol.2017.07.026.
- Gas Exporting Countries Forum. GECF Global Gas Outlook 2050 Synopsis [R]. February 2021.
- Holland, A. A Decision Support Tool for Energy Storage Optimization [A]. In 200820th IEEE International Conference on Tools with Artificial Intelligence[C].Dayton: IEEE. 2008,299-306.doi:https://doi.org/10.1109/ICTAI.2008.66.
- Khanmirza, E., R. Madoliat, and A. Pourfard. 2019. Transient Optimization of Natural Gas Networks Using Intelligent Algorithms [J]. Journal of Energy Resources Technology-Transactions of the ASME 141 (3): 032901. doi:https://doi.org/10.1115/1.4040073.
- Li, Q., H. Q. Zhong, Y. Wang, Y. H. Leng, and C. Q. Guo. 2016. Integrated development optimization model and its solving method of multiple gas fields [J]. Petroleum Exploration and Development 43 (2):293–300. doi:https://doi.org/10.1016/S1876-3804(16)30033-7.
- McVay, D. A., and J. P. Spivey. 2001. Optimizing Gas-Storage Reservoir Performance [J]. Spe Reservoir Evaluation & Engineering 4 (3):173–78. doi:https://doi.org/10.2118/71867-PA.
- MohamadiBaghmolaei, M., M. Mahmoudy, D. Jafari, R. MohamadiBaghmolaei, and F. Tabkhi. 2014. Assessing and optimization of pipeline system performance using intelligent systems [J]. Journal of Natural Gas Science and Engineering 18:64–76. doi:https://doi.org/10.1016/j.jngse.2014.01.017.
- Soemardan, S., and W. W. Purwanto. 2014. Arsegianto. Optimization of the gas production rate by marginal cost analysis: Influence of the sales gas pressure, gas price and duration of gas sales contract [J]. Journal of Natural Gas Science and Engineering 18:396–404. doi:https://doi.org/10.1016/j.jngse.2014.03.017.
- Sun, Z., J. T. Shi, K. L. Wu, H. Y. Ma, S. M. Li, T. Zhang, D. Feng, W. Y. Liu, Y. S. Liu, S. R. Wang, et al. 2019. Novel optimization method for production strategy of coal-bed methane well: Implication from gas-water two-phase version productivity equations [J]. Journal of Petroleum Science and Engineering 176:632–39. doi:https://doi.org/10.1016/j.petrol.2019.01.105.
- Syed, Z., and Y. Lawryshyn. 2020. Risk analysis of an underground gas storage facility using a physics-based system performance model and Monte Carlo simulation [J]. Reliability Engineering & System Safety 199:106792. doi:https://doi.org/10.1016/j.ress.2020.106792.
- Thompson, M., M. Davison, and H. Rasmussen. 2009. Natural gas storage valuation and optimization: A real options application [J]. Naval Research Logistics 56 (3):226–38. doi:https://doi.org/10.1002/nav.20327.
- Wang, X., and M. Economides. 2012. Purposefully built underground natural gas storage [J]. Journal of Natural Gas Science and Engineering 9:130–37. doi:https://doi.org/10.1016/j.jngse.2012.06.003.
- Verga F. 2018. What's Conventional and What’s Special in a Reservoir Study for Underground Gas Storage[J]. Energies 11 (5): 1245. dio: 10.3390/en11051245.
- Wojdan, K., B. Ruszczycki, D. Michalk, and K. Swirski. 2014. Method for Simulation and Optimization of Underground Gas Storage Performance [J]. Oil & Gas Science and Technology – Revue d’IFP Energies Nouvelles 69 (7):1237–49. doi:https://doi.org/10.2516/ogst/2013133.
- Yu, W., Y. Min, W. Huang, K. Wen, Y. Zhang, J. Gong. 2018. An Integration Method for Assessing the Operational Reliability of Underground Gas Storage in a Depleted Reservoir [J]. Journal of Pressure Vessel Technology-Transactions of the ASME 140 (3): 031701. doi: https://doi.org/10.1115/1.4039070.
- Zhang, J., F. F. Fang, W. Lin, S. S. Gao, Y. L. Li, Q. Li, and Y. Yang. 2020. Research on Injection-Production Capability and Seepage Characteristics of Multi-Cycle Operation of Underground Gas Storage in Gas Field-Case Study of the Wen 23 Gas Storage [J]. Energies 13 (15): 3829. doi:https://doi.org/10.3390/en13153829.