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Tytuł artykułu

Information and software for forecasting and planning technological modes of gas injection and withdrawal at underground gas storage facilities

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The purpose of the work is to develop software to solve problems of forecasting and planning the operation of underground gas storage (UGS) facilities and the use of their capacities depending on the level of consumption, demand for natural gas storage services, and maximum daily productivity. Design/methodology/approach: Based on the analysis of various output data from technological units, as well as the study of wells digitised and entered into the database, software for predicting UGS operation modes has been developed. The developed software enables users to conveniently customise the user interface, allowing them to quickly locate the necessary information in the database and perform predictive calculations for various technological units, ensuring the efficient and uninterrupted operation of the UGS facility. Findings: The software is designed for easy use by specialists, enabling the prediction of gas extraction and injection modes in the shortest possible time and monitoring the primary indicators of stable UGS facility operation. The developed software significantly simplifies the work with large data sets, as well as the calculation of parameters of process equipment and UGS facilities. Research limitations/implications: To increase the efficiency of UGS operation, it is advisable to implement the developed software necessary to calculate the predicted operating modes of technological units, wells, and UGS in general, in order to select a rational mode of gas storage operation. In addition, it is necessary to plan a strategy for the development of underground gas storage facilities (reconstruction and modernisation), and determine the need for additional investments aimed at increasing the UGS facilities (active volume and/or capacity). Practical implications: The work results enable specialists to create design schemes for UGS facilities that allow for a detailed, facility-by-facility analysis of the performance characteristics of individual process units. It also allows the forecast performance of both individual process facilities and UGS facilities as a whole to be determined. Originality/value: The software enables specialists to make accurate predictions regarding gas storage capacity under specific conditions, ascertain the maximum feasible gas withdrawal volumes, and determine the requisite time for withdrawing a given volume of gas.
Rocznik
Strony
5--20
Opis fizyczny
Bibliogr. 31 poz.
Twórcy
  • Branch R&D Institute of Gas Transportation Joint Stock Company “Ukrtransgaz”, 16 Honcharivskyi Blvd, Kharkiv, Ukraine
  • Branch Ukrainian Scientific Research Institute of Natural Gases Joint Stock Company “Ukrgasvydobuvannya”, 20 Himnaziina Naberezhna str., Kharkiv, Ukraine
  • Department of Records Management and Information Activities, Institute of Humanities and Public Administration, Ivano-Frankivsk National Technical University of Oil and Gas, 15 Karpatska str., Ivano-Frankivsk, Ukraine
autor
  • Department of Software Engineering, Institute of Information Technologies, Ivano-Frankivsk National Technical University of Oil and Gas, 15 Karpatska str., Ivano-Frankivsk, Ukraine
autor
  • d Department of Software Engineering, Institute of Information Technologies, Ivano-Frankivsk National Technical University of Oil and Gas, 15 Karpatska str., Ivano-Frankivsk, Ukraine
autor
  • Department of Software Engineering, Institute of Information Technologies, Ivano-Frankivsk National Technical University of Oil and Gas, 15 Karpatska str., Ivano-Frankivsk, Ukraine
  • Department of Software Engineering, Institute of Information Technologies, Ivano-Frankivsk National Technical University of Oil and Gas, 15 Karpatska str., Ivano-Frankivsk, Ukraine
Bibliografia
  • [1] V.B. Volovetskyi, Ya.V. Doroshenko, G.M. Kogut, A.P. Dzhus, I.V. Rybitskyi, J.I. Doroshenko, O.M. Shchyrba, Investigation of gas gathering pipelines operation efficiency and selection of improvement methods, Journal of Achievements in Materials and Manufacturing Engineering 107/2 (2021) 59-74. DOI: https://doi.org/10.5604/01.3001.0015.3585
  • [2] V.B. Volovetskyi, A.V. Uhrynovskyi, Ya.V. Doroshenko, O.M. Shchyrba, Yu.S. Stakhmych, Developing a set of measures to provide maximum hydraulic efficiency of gas gathering pipelines, Journal of Achievements in Materials and Manufacturing Engineering 101/1 (2020) 27-41.DOI: https://doi.org/10.5604/01.3001.0014.4088
  • [3] V.B. Volovetskyi, Ya.V. Doroshenko, G.M. Kogut, I.V. Rybitskyi, J.I. Doroshenko, O.M. Shchyrba, Developing a complex of measures for liquid removal from gas condensate wells and flowlines using surfactants, Archives of Materials Science and Engineering 108/1 (2021) 24-41.DOI: https://doi.org/10.5604/01.3001.0015.0250
  • [4] V.B. Volovetskyi, Ya.V. Doroshenko, S.M. Stetsiuk, S.V. Matkivskyi, O.M. Shchyrba, Y.M. Femiak, G.M. Kogut, Development of foam-breaking measures after removing liquid contamination from wells and flowlines by using surface-active substances, Journal of Achievements in Materials and Manufacturing Engineering 114/2 (2022) 67-80.DOI: https://doi.org/10.5604/01.3001.0016.2157
  • [5] V.B. Volovetskyi, Ya.V. Doroshenko, O.S. Tarayevs’kyy, O.M. Shchyrba, J.I. Doroshenko, Yu.S. Stakhmych, Experimental effectiveness studies of the technology for cleaning the inner cavity of gas gathering pipelines, Journal of Achievements in Materials and Manufacturing Engineering 105/2 (2021) 61-77.DOI: https://doi.org/10.5604/01.3001.0015.0518
  • [6] V. Volovetskyi, Ya. Doroshenko, O. Karpash, O. Shchyrba, S. Matkivskyi, O. Ivanov, H. Protsiuk, Experimental Studies of Efficient Wells Completion in Depleted Gas Condensate Fields by Using Foams, Strojnícky casopis: Journal of Mechanical Engineering 72/2 (2022) 219-238.DOI: https://doi.org/10.2478/scjme-2022-0031
  • [7] V.B. Volovetskyi, Ya.V. Doroshenko, A.O. Bugai, G.M. Kogut, P.M. Raiter, Y.M. Femiak, R.V. Bondarenko, Developing measures to eliminate of hydrate formation in underground gas storages, Journal of Achievements in Materials and Manufacturing Engineering 111/2 (2022) 64-77.DOI: https://doi.org/10.5604/01.3001.0015.9996
  • [8] V.B. Volovetskyi, Ya.V. Doroshenko, S.V. Matkivskyi, P.M. Raiter, O.M. Shchyrba, S.M. Stetsiuk, H.Ya. Protsiuk, Development of methods for predicting hydrate formation in gas storage facilities and measures for their prevention and elimination, Journal of Achievements in Materials and Manufacturing Engineering 117/1 (2023) 25-41. DOI: https://doi.org/10.5604/01.3001.0053.5955
  • [9] V.B. Volovetskyi, Y.L. Romanyshyn, P.M. Raiter, M.D. Serediuk, O.M. Shchyrba, S.V. Matkivskyi, O.O. Filipchuk, Study of gas gathering pipelines hydraulic efficiency in gathering facilities of depleted fields, Journal of Achievements in Materials and Manufacturing Engineering 122/2 (2024) 69-85. DOI: https://doi.org/10.5604/01.3001.0054.4833
  • [10] V.B. Volovetskyi, Y.L. Romanyshyn, S.O. Altukhov, A.O. Bugai, Ya.V. Doroshenko, O.M. Shchyrba, Developing an electronic archive of geophysical survey results from underground gas storage wells, Journal of Achievements in Materials and Manufacturing Engineering 122/1 (2024) 14-30.DOI: https://doi.org/10.5604/01.3001.0054.4826
  • [11] V.B. Volovetskyi, Y.L. Romanyshyn, A.O. Bugai, Ya.V. Doroshenko, O.M. Shchyrba, A.I. Vasko, Development of software for automated digitisation of geophysical survey results of underground gas storage wells, Journal of Achievements in Materials and Manufacturing Engineering 125/1 (2024) 25-41. DOI: https://doi.org/10.5604/01.3001.0054.7774
  • [12] V.B. Volovetskyi, Y.L. Romanyshyn, A.O. Bugai, S.O. Altukhov, O.M. Shchyrba, Development of information and software for automation and digitalisation of processing and analysing geological-geophysical data of underground gas storage wells, Journal of Achievements in Materials and Manufacturing Engineering 126/2 (2024) 66-85. DOI: https://doi.org/10.5604/01.3001.0054.9207
  • [13] M. Prytula, N. Prytula, Y. Pyanylo, Z. Prytula, O. Khymko, Planning optimal operating modes of underground gas storage facilities as part of the gas transmission system, Eastern-European Journal of Enterprise Technologies 3/2(117) (2022) 76-91. DOI: https://doi.org/10.15587/1729-4061.2022.258953
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  • [16] V.B. Volovetskyi, A.O. Bugai, O.A. Levin, M.D. Serediuk, Y.L. Romanyshyn, O.M. Shchyrba, Developing a gas-dynamic model of an underground gas storage facility, Journal of Achievements in Materials and Manufacturing Engineering 128/1 (2025) 18-32.DOI: https://doi.org/10.5604/01.3001.0055.0342
  • [17] W. Qiao, Z. Fu, M. Du, W. Nan, E. Liu, 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 search algorithm, Energy 274 (2023) 127376.DOI: https://doi.org/10.1016ij.energy.2023.127376
  • [18] T. Kurek, K. Wojdan, K. Swirski, Long-term prediction of underground gas storage user gas flow nominations, Journal of Power Technologies 99/4 (2019) 272-280. Available from: https://papers.itc.pw.edu.pl/index.php/JPT/article/view /1598
  • [19] N. Iwaszczuk, I. Zapukhliak, A. Iwaszczuk, O. Dzoba, O. Romashko, Underground Gas Storage Facilities in Ukraine, Current State and Future Prospects, Energies 15/18 (2022) 6604.DOI: https://doi.org/10.3390/en15186604
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  • [22] W. Wei, J. Hou, X. Liu, Evaluating and predicting deliverability of natural gas storage sites using stacking machine learning models, Geoenergy Science and Engineering 249 (2025) 213771.DOI: https://doi.org/10.1016yj.geoen.2025.213771
  • [23] N. Curin, M. Kettler, X. Kleisinger-Yu, V. Komaric, T. Krabichler, J. Teichmann, H. Wutte, A deep learning model for gas storage optimization, Decisions in Economics and Finance 44 (2021) 1021-1037. DOI: https://doi.org/10.1007/s10203-021-00363-6
  • [24] X. Liu, H. Tang, D. Zhang, Sh. Geng, G. Wu, Ch. Li, Sh. Liu, A prediction model for new well deliverability in an underground gas storage facility using production data, Journal of Energy Storage 60 (2023) 106649. DOI: https://doi.org/10.10167j.est.2023.106649
  • [25] A. Iwaszczuk, M. Prytula, N. Prytula, Kh. Prytula, N. Iwaszczuk, Energy-Efficient Control of Underground Gas Storage, European Research Studies Journal XXVII/4 (2024) 658-699.DOI: http://dx.doi.org/10.35808/ersj/3542
  • [26] G. Fibbi, M. Del Soldato, R. Fanti, Review of the Monitoring Applications Involved in the Underground Storage of Natural Gas and CO2, Energies 16/1 (2023) 12. DOI: https://doi.org/10.3390/en16010012
  • [27] A. Holland, Injection/withdrawal scheduling for natural gas storage facilities, in: Proceedings of the 2007 ACM symposium on Applied computing (SAC’07), Association for Computing Machinery, New York, NY, USA, 2007, 332-333. DOI: https://doi.org/10.1145/1244002.1244080
  • [28] J. Zhou, J. Peng, G. Liang, J. Sun, Optimization of injection-withdrawal schedules for underground gas storage in a multi-block depleted gas reservoir considering operation stability, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 47/2 (2025) 1988005.DOI: https://doi.org/10.1080/15567036.2021.1988005
  • [29] Y. Huohai, H. Qinghui, M. Chao, Zh. Ping, L. Hancheng, F. Yu, Li Renze, L. Zonglin, D. Chenglian, Injection-mining scheme optimization of underground gas storage based on agent model, Geoenergy Science and Engineering 244 (2025) 213406.DOI: https://doi.org/10.1016/j.geoen.2024.213406
  • [30] N. Iwaszczuk, M. Prytula, N. Prytula, Y. Pyanylo, A Iwaszczuk, Modeling of Gas Flows in Underground Gas Storage Facilities, Energies 15/19 (2022) 7216. DOI: https://doi.org/10.3390/en15197216
  • [31] V.B. Volovetskyi, A.O. Bugai, O.A. Levin, Y.L. Romanyshyn, O.M. Shchyrba, V.I. Sheketa, I.P. Kasyanchuk, Development of the electronic catalogue on performance characteristics of technological equipment of underground gas storage facilities, Archives of Materials Science and Engineering 131/1 (2025) 14-26.DOI: https://doi.org/10.5604/01.3001.0055.0851
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f51a2ba1-9b06-482d-b1ed-7e8f09165429
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