ISSN (print) 1995-2732
ISSN (online) 2412-9003

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DOI: 10.18503/1995-2732-2026-24-1-123-132

Abstract

Relevance. The reliability and durability of equipment in the field of oil and gas engineering, which is of strategic importance for the Russian economy and the oil and gas industry, is determined by effective corrosion protection and the role of inhibitors. The effectiveness of inhibition, in turn, is largely determined by the accuracy of analytical control of the inhibitor concentration, which is carried out, in particular, by the photometric method. However, the reliability of the results is subject to measurement uncertainty caused by various factors. In accordance with GOST ISO/IEC 17025-2019, the assessment and accounting of uncertainty are mandatory for testing laboratories conducting analytical control. The relevance of this work lies in providing practical approaches to assessing uncertainty in the photometric determination of corrosion inhibitors to ensure compliance with regulatory requirements and improve the quality of analytical results. Objectives. The study is aimed at estimating the measurement uncertainty in the photometric determination of a corrosion inhibitor. Methods Applied. A modeling approach has been used to estimate the uncertainty. A mathematical measurement model has been developed, describing the relationship between the measured value and the input parameters. Values have been determined for each input value, and corresponding distribution laws have been assigned. Originality. The peculiarity of this work is the comprehensive analysis of the photometric determination procedure, which includes the identification of sources of uncertainty at all stages of measurement using the Ishikawa cause-and-effect diagram. Result. The uncertainty sources have been identified and quantified: type A based on observation statistics, and type B based on the assessment of the influence of individual factors. The relative standard uncertainties have been calculated for each measurement stage. An equation for calculating the relative total standard uncertainty has been generated. The relative extended uncertainty has been calculated. The uncertainty budget has been formed to systematize and visualize the results. Practical Relevance. The implementation of the study results into the practice of analytical control of inhibitors in the field of oil and gas engineering and the oil and gas industry will ensure compliance with the requirements of GOST ISO/IEC 17025-2019, increase the reliability of measurements, and provide their metrological justification.

Keywords

durability, corrosion, inhibition efficiency, analytical control, reliability of results, cause-and-effect diagram, uncertainty, uncertainty budget

For citation

Sharafieva R.R., Denisova Ya.V., Sopin V.F. Photometric Determination of a Corrosion Inhibitor: the Role of Measurement Uncertainty in Ensuring the Quality of Analytical Studies and Their Results. Vestnik Magnitogorskogo Gosudarstvennogo Tekhnicheskogo Universiteta im. G.I. Nosova [Vestnik of Nosov Magnitogorsk State Technical University]. 2026, vol. 24, no. 1, pp. 123-132. https://doi.org/10.18503/1995-2732-2026-24-1-123-132

Regina R. Sharafieva – degree-seeking applicant, Department of Analytical Chemistry, Certification and Quality Management, Kazan National Research Technological University, Kazan, Russia.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0009-0009-9699-7434

Yana V. Denisova – PhD (Eng.), Associate Professor, Department of Analytical Chemistry, Certification and Quality Management, Kazan National Research Technological University, Kazan, Russia.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0003-1242-6909

Vladimir F. Sopin – DrSc (Eng.), Professor, Department of Analytical Chemistry, Certification and Quality Management, Kazan National Research Technological University, Kazan, Russia.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0002-9112-2550

1. Annual report on the activities of the Federal Service for Environmental, Technological and Nuclear Supervision Service. Available at: https://www.gosnadzor.ru/public/annual_reports/ (Accessed on September 01, 2025).

2. Chudakova M.V., Ovchinnikov K.A., Ulyanov D.N. et al. Inhibitors of carbon dioxide corrosion: current state of research and development. Zapiski Gornogo Instituta [Journal of Mining Institute]. 2025;271:3-21. (In Russ.)

3. Sharafieva R.R., Denisova Ya.V., Sopin V.F. Identification of causes of accidents at oil and gas engineering facilities. Problemy mashinostroeniya: sovremennye tekhnologii obrabotki, materialy, mashiny, agregaty. Materialy Vserossiyskoy nauch.-tekhn. konferentsii [Problems of mechanical engineering: modern processing technologies, materials, machinery, units. Proceedings of the All-Russian Scientific and Technical Conference]. Makhachkala: Dagestan State Technical University, 2024, pp. 216-219. (In Russ.)

4. Lestev A.E., Ivshin Ya.V. Zashchita neftegazovogo oborudovaniya ingibitorami korrozii. Metody ispytaniy effektivnosti i fiziko-khimicheskikh parametrov ingibitorov korrozii: uchebno-metodicheskoe posobie [Protection of oil and gas equipment with corrosion inhibitors. Methods for testing the effectiveness and physicochemical parameters of corrosion inhibitors: study guide]. Kazan: Publishing House of KNITU, 2022, 92 p. (In Russ.)

5. Askari M., Aliofkhazraei M., Jafari R. et al. Downhole corrosion inhibitors for oil and gas production – a review. Appl. Surf. Sci. Adv. 2021;6:100128. DOI:10.1016/j.apsadv.2021.100128

6. Gayzullin A.D., Vagapov R.K., Zapevalov D.N. Technological aspects of applying corrosion inhibitor protection at gas fields. Oborudovanie i tekhnologii dlya neftegazovogo kompleksa [Equipment and Technologies for the Oil and Gas Complex]. 2025;(2(146)):85-92. (In Russ.)

7. Markin A.N., Tkacheva V.E., Dresvyannikov A.F., Akhmetova A.N. Korroziya i zashchita neftepromyslovogo oborudovaniya: uchebnoe posobie [Corrosion and protection of oilfield equipment: textbook]. Kazan: Publishing House of KNITU, 2022, 188 p. (In Russ.)

8. Leontieva M.E., Agarkova M.O., Demidova Yu.V. et al. Corrosion inhibitors for protection of oilfield equipment operating in hydrogen sulfide environments. Izvestiya vysshikh uchebnykh zavedenii. Seriya khimiya i khimicheskaya tekhnologiya [News of Higher Educational Institutions. Chemistry and Chemical Technology]. 2025;68(7):6-19. (In Russ.) DOI: 10.6060/ivkkt.20256807.7213

9. Khodus A.S., Burkov P.V. Corrosion mechanisms and inhibitor protection methods for oil and gas industry equipment. Nauka i tekhnologii truboprovodnogo transporta nefti i neftproduktov [Science and Technology of Pipeline Transport of Oil and Oil Products]. 2024;14(4):348-355. (In Russ.) DOI: 10.28999/2541-9595-2024-14-4-348-355

10. Markin A.N., Brikov A.V. Strategy of chemicalization of large oil and gas enterprises in Russia. Neftepromyslovoe delo [Oilfield Business]. 2019;(3):64-69. (In Russ.) DOI: 10.30713/0207-2351-2019-3-64-69

11. State standard GOST ISO/IEC 17025-2019. General requirements for the competence of testing and calibration laboratories. Moscow: Standartinform Publishing House, 2021, 25 p. (In Russ.)

12. State standard GOST 34100.3-2017/ISO/IEC Guide 98-3:2008. Uncertainty of measurement. Part 3. Guide to the expression of uncertainty in measurement. Moscow: Standartinform Publishing House, 2018, 104 p. (In Russ.)

13. Guide to the Expression of Uncertainty in Measurement: First edition. ISO, Switzerland, 1993, 101 p.

14. Khamkhanova D.N., Damdinsuren E., Darbakova N.V., Sundaron E.M. Estimation of measurement uncertainty in milk acidity determination using phenolphthalein indicator method. Vestnik Vostochno-Sibirskogo Gosudarstvennogo Universiteta Tekhnologiy i Upravleniya [Bulletin of East-Siberian State University of Technology and Management]. 2025;(2(97)):30-38. (In Russ.) DOI: 10.53980/24131997_2025_2_30

15. State standard GOST 31371.7-2020. Natural gas. Determination of composition by gas chromatography with uncertainty evaluation. Part 7. Measurement methods for molar fraction of components. Moscow: Standartinform Publishing House, 2020, 39 p. (In Russ.)

16. State standard GOST 31369-2021 (ISO 6976:2016). Natural gas. Calculation of calorific value, density, relative density and Wobbe index based on component composition. Moscow: Russian Institute of Standardization, 2021, 43 p. (In Russ.)

17. Khamkhanova D.N., Mitypova N.V., Baldynova F.P., Damdinsuren E. Estimation of measurement uncertainty in fat content determination in milk. Standard method. Kontrol Kachestva Produktsii [Product Quality Control]. 2023;(7):33-37. (In Russ.)

18. Khamkhanova D.N., Mitypova N.V., Baldynova F.P., Damdinsuren E. Estimation of measurement uncertainty in fat content determination in milk by Clover-2 analyzer method. Kontrol Kachestva Produktsii [Product Quality Control]. 2023;(8):38-42. (In Russ.)

19. Fadeykina O.V., Voropaev A.A., Davydov D.S., Volkova R.A. Estimation of uncertainty of measurement results for mass loss determination upon drying of biological medicinal products. Biopreparaty. Profilaktika, diagnostika, Llechenie [Biological Preparations. Prevention, Diagnosis, Treatment]. 2023;23(3-1):452-462. (In Russ.) DOI: 10.30895/2221-996X-2023-23-3-1-452-462

20. Melnikova O.A., Dedyukhina A.V., Melnikov M.Yu. Procedure for estimation of uncertainty in HPLC calibration on the example of caffeine. Sovremennye problemy zdravookhraneniya i meditsinskoy statistiki [Modern problems of healthcare and medical statistics]. 2024;(5):47-58. DOI: 10.24412/2312-2935-2024-5-47-58

21. Chunovkina A.G. Estimation of measurement uncertainty in establishing metrological traceability of clinical biological sample test results. Laboratornaya sluzhba [Laboratory Service]. 2020;(9(3)):32-40. (In Russ.) DOI: 10.17116/labs2020903132

22. Chunovkina A.G., Tumilovich A.A., Stepanov A.V. et al. Estimation of measurement uncertainty in laboratory medicine. Izmeritelnaya tekhnika [Measurement techniques]. 2022;(7):69-74. (In Russ.) DOI: 10.32446/0368-1025it.2022-7-69-74

23. Troeglazova A.V. Uncertainty estimation of sorption-photometric method for rhenium (VII) content determination. Vestnik Voronezhskogo Gosudarstvennogo Universiteta. Seriya: Khimiya. Biologiya. Farmatsiya [Bulletin of Voronezh State University. Series: Chemistry. Biology. Pharmacy]. 2022;(2):24-31. (In Russ.)

24. Alekseev A.V., Yakimovich P.V. Uncertainty budget assessment for nickel analysis by ICP-MS and high-resolution glow discharge mass spectrometry. Vestnik Moskovskogo Universiteta. Seriya 2. Khimiya [Moscow University Bulletin. Series 2. Chemistry]. 2022;63(4):283-293. (In Russ.)

25. Belaya M.N., Barieva E.F., Korshunova M. et al. Development of procedure for uncertainty estimation of laboratory electronic balance measurement results. Nauka i biznes: puty razvitiya [Science and business: ways of development]. 2025;(4(166)):141-145. (In Russ.)

26. Khan S.G., Fedorenko I.A. Methods for estimation of uncertainty in medical measurements and their application in measurement instruments calibration. Biomeditsinskaya radioelektronika [Biomedical radioelectronics]. 2024;27(2):75-79. (In Russ.) DOI: 10.18127/j15604136-202402-10

27. Mishura T.P. Accuracy characteristics of means for measuring alternating electric current force according to the uncertainty concept. Aktualnye problemy ekonomiki i upravleniya [Current Problems of Economics and Management]. 2024;(4(44)):3-6. (In Russ.)

28. Standard STO Gazprom 9.3-004-2009. Corrosion protection. Procedure for measuring mass concentration of nitrogen-containing corrosion inhibitors in liquid hydrocarbons, formation water and water-methanol solutions. Moscow: Gazprom Expo, 2009, 23 p. (In Russ.)

29. Sharafieva R.R., Denisova Ya.V., Soyko A.I. Uncertainty evaluation of measurements in the control of nitrogen-containing corrosion inhibitors. Nauka i tekhnologii truboprovodnogo transporta nefti i nefteproduktov [Science and technologies of pipeline transport of oil and petroleum products]. 2025;15(3):280-288. (In Russ.) DOI: 10.28999/2541-9595-2025-15-3-280-288.

30. QUAM:2012.P1-RU. EURACHEM/SITAC CG4 Guide. Quantitative Description of Uncertainty in Analytical Measurements. 165 p.

31. Р 1323565.2.002-2022. State system for ensuring the uniformity of measurements. Algorithms for constructing calibration characteristics of measuring instruments for the composition of substances and materials and estimation of their errors (uncertainties). Estimation of the error (uncertainty) of linear calibration characteristics using the least squares method. Moscow: Russian Institute of Standardization, 2023, 16 p. (In Russ.).