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1 2025

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

Volovetskyi V.B., Shchyrba O.M., Romanyshyn Y.L., Sheketa V.I., Pikh V.Y., Vovk R.B., Yatsyshyn M.M.

Archives of Materials Science and Engineering

2025

Vol. 132, nr 1

5--20

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.