Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

IMPROVING SECURITY OF COMPRESSOR STATIONS ON PIPELINES USING A COMPREHENSIVE MULTIFACTOR EXPERIMENT

Authors: GRUDZ, VOLODYMYR; DVOLITKA, MYKHAILO; TEREFENKO, NAZARIJ; SHMIDT, WOLODYMYR; HORAL, LILIANA; GRUDZ, YAROSLAV;

IMPROVING SECURITY OF COMPRESSOR STATIONS ON PIPELINES USING A COMPREHENSIVE MULTIFACTOR EXPERIMENT

Abstract

This paper addresses the evaluation of the key reliability indicators for gas-pumping aggregates at compressor stations in the natural gas transmission system, based on mathematical modeling of aging processes and the recovery of equipment characteristics. The main factors influencing the system's operation and the reliability of equipment at the current level of system management are the volume of reserves and their structure. These factors may change either due to more rational use and distribution of costs for the creation and development of the system or through an increase in these costs. Therefore, the issue of reliability is, in essence, a techno-economic problem. Thus, the research problem includes analyzing the operational characteristics of gas-pumping aggregates to identify the causes of deviations in actual repair cycles from standard ones, applying a stochastic approach to evaluating the reliability parameters of gas-pumping aggregates at compressor stations, and mathematically modeling the influence of repair service parameters on the main economic indicators of the gas transmission system. To achieve this goal, it is proposed to determine the approximating deviations of parameter functions and derive assessments of the element’s resource. However, the application of approximating functions has significant drawbacks, as forecasting machine states and using corresponding formulas complicates the forecasting process. Therefore, after selecting and calculating the coefficients of any approximating expression, it should be transformed into a defined function, for which a forecasting mechanism is developed. This is the only way to use a broad class of approximating expressions with relatively lightweight mathematical support for forecasting. The proposed method of forecasting gas-pumping aggregate resource was tested under the conditions of the compressor stations of the “Soyuz” and “Urengoy-Pomary-Uzhgorod” pipelines in the context of a comprehensive multifactor experiment conducted at gas transportation system facilities in Ukraine. This allowed for the prediction of reliability trends of gas-pumping aggregates at compressor stations, which ultimately determines the potential to meet consumers' gas demands. To maintain the reliability indicators of the elements in the gas transportation system, it is recommended to optimize their maintenance procedures. Significant improvement of the quality of repair work at this stage, under current conditions, is technically unfeasible and economically unjustifiable.

Keywords

reliability indicators, probabilistic approach, Gas-pumping aggregate, maintenance optimization, mathematical modeling

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green