«Proceedings of Gubkin University»

Assessment of the technical condition of gas turbine units of gas compressor aggregates using machine learning models

UDC: 622.691.4/.5
DOI: -

Authors:

¹ Gazprom VNIIGAZ, St. Petersburg, Russian Federation
² National University of Oil and Gas “Gubkin University”, Moscow, Russian Federation

Keywords: technical condition, technical condition coefficient, diagnostics, machine learning, gas turbine unit, natural gas transportation, gas compressor aggregate, reference characteristics, reference model, parameter normalization, RandomForest, sklearn

Annotation:

Gas turbine units with variable geometry nozzles are operated within the fleet of gas compressor aggregates of PJSC “Gazprom”. The technical condition related to power output for these gas compressor aggregates is determined using factory test (specification) characteristics. The article proposes an alternative method for assessing the technical condition, based on the development of a baseline (reference) model of the gas turbine unit at the initial stage of operation using machine learning. The results of applying the proposed approach to evaluate the technical condition of the GTPU type GTNR-25I, equipped with a regenerative gas turbine unit with a foreign-made MS 5322R variable geometry nozzle apparatus, are presented.

Bibliography:

1. Energotekhnologicheskie pokazateli ekspluatacii kompressornyh cekhov i agregatov / D.M. Lyapichev, A.V. Semushkin, V.A. Shchurovskij, S.Yu. Dmitrieva // Turbiny i dizeli. – 2022. – № 1 (100). – S. 18–22. – EDN VGCSJP.
2. Lyapichev D.M., Danielyan D.P. Ocenka izmeneniya tekhnicheskogo sostoyaniya gazoperekachivayushchego oborudovaniya pri nepreryvnom avtomatizirovannom monitoringe // Oborudovanie i tekhnologii dlya neftegazovogo kompleksa. – 2024. – № 4 (142). – S. 63–66. – EDN UIJENC.
3. R Gazprom 2-3.5-1107-2017. Metodika provedeniya udalennoj parametricheskoj diagnostiki i monitoringa tekushchih pokazatelej tekushchego tekhnicheskogo sostoyaniya gazoperekachivayushchih agregatov bez izmeneniya rezhima ih ekspluatacii. – SPb.: Gazprom ekspo, 2018. – VI, 93.
4. Metodicheskie principy parametricheskoj diagnostiki tekhnicheskogo sostoyaniya gazoturbinnyh gazoperekachivayushchih agregatov / A.V. Semushkin, A.O. Podloznyj, E.A. Chernikova, V.A. Shchurovskij // Vesti gazovoj nauki. – 2017. – № 1 (29). – S. 22–31. – EDN ZHROJR.
5. GOST 20440-75. Ustanovki gazoturbinnye. Metody ispytanij = Gas turbines. Acceptance tests. – M.: Izd-vo standartov, 2001. – 15 s.
6. Vanchin A.G. Metody ocenki tekhnicheskogo sostoyaniya i prognozirovaniya pokazatelej raboty gazoperekachivayushchego agregata GTK-25IR // Neftegazovoe delo. – 2012. – № 6. – S. 184–197. – EDN RPFCMX.
7. Lyapichev D.M. Perspektivnyj podhod k ocenke vliyaniya peremennogo gazopotrebleniya na rezhimy raboty gazotransportnyh sistem // Trudy Rossijskogo gosudarstvennogo universiteta nefti i gaza imeni I.M. Gubkina. – 2023. – № 3 (312). – S. 109–118. – DOI: 10.33285/2073-9028-2023-3(312)-109-118. – EDN DQBPNQ.