References:
1. Fatkhutdinov R.I. Assessment of efficiency of industrial control systems functioning at hazardous production facilities of oil and gas production plants. sb. tezisov: XII Vseros. konf. molodykh uchenykh, spetsialistov i studentov «Novye tekhnologii v gazovoy promyshlennosti» (gaz, neft, energetika) (Collection of the thesis: XII All-Russian conference of the young scientists, specialists and students «New technologies in gas industry» (gas, oil, energy). Moscow: RGU nefti i gaza (NIU) imeni I.M. Gubkina i PAO «Gazprom», 2017. pp. 250. (In Russ.).
2. GOST R ISO 9000: 2015. Quality management systems. Main provisions and vocabulary (with amendment). Available at: http://docs.cntd.ru/document/1200124393 (accessed: January 14, 2019). (In Russ.).
3. Fruchtnicht E., Fellers J.W., Hanks C.D. Safety inspections: continuous improvement, Effectiveness & Efficiency. Professional safety volume. 2013. № 7. pp. 28–35.
4. Van Herwaarden A.J.F., Sykes R.M. HSE Auditing. New Orleans: Society of petrolium Engineers, 1996.
5. Murphy H., Janus B. Managing HSE performance through sustainability reporting. SPE E&P Health, Safety, Security and Environmental Conference-Americas, 16–18 March. Denver, 2015.
6. Tarrahi M., Shadravan A. Advanced big data analytics improves HSE management. SPE Bergen One Day Seminar, 20 April. Bergen, 2016.
7. On the organization and implementation of industrial control over compliance with industrial safety requirements at a hazardous production facility: Government Decree of the Russian Federation of March 10, 1999 № 263. Sobr. zakonodatelstva Ros. Federatsii = Collection of the Russian Federation Legislation. 1999. № 11. Art. 1305. (In Russ.).
8. Fatkhutdinov R.I., Klimova I.V. On the single specific problem when mixing commercial oils. Rassokhinskie chteniya: materialy mezhdunar. konf. V 2 ch. Ch. 1 (Rassokhinskie readings: materials of the International conference In 2 parts. Part 1). Ukhta: UGTU, 2018. pp. 279–284. (In Russ.).
9. Klimova I.V., Smirnov Yu.G. Application of fuzzy modeling to predict the disease of staff from exposure to working conditions. Mathematical Modeling. 2017. Iss. 2. pp. 113–116.
10. Klimova I.V., Zakharov D.Yu., Smirnov Yu.G. Information expertise of the results of the calculation of hydrocarbon reserves. Rassokhinskie chteniya: materialy mezhdunar. konf. V 2 ch. Ch. 2 (Rassokhinskie readings: materials of the International conference. In 2 parts. Part 1). Ukhta: UGTU, 2018. pp. 141–146. (In Russ.).
11. Leonenkov A.V. Fuzzy modeling in MATLAB and fuzzyTECH. Saint-Petersburg: BKhV-Peterburg, 2005. 736 p. (In Russ.).
12. Tindova M.G. Fuzzy model of economic assessment of the environmental damage. Ekonomika: vchera, segodnya, zavtra = Economy: yesterday, today, tomorrow. 2012. № 3–4. pp. 129–139. (In Russ.).
13. Jablonowski C.J. Identification of HSE leading indicators using regression analysis. SPE Americas E&P Health, safety, security, and environmental conference, 21–23 March. Houston, 2011.
2. GOST R ISO 9000: 2015. Quality management systems. Main provisions and vocabulary (with amendment). Available at: http://docs.cntd.ru/document/1200124393 (accessed: January 14, 2019). (In Russ.).
3. Fruchtnicht E., Fellers J.W., Hanks C.D. Safety inspections: continuous improvement, Effectiveness & Efficiency. Professional safety volume. 2013. № 7. pp. 28–35.
4. Van Herwaarden A.J.F., Sykes R.M. HSE Auditing. New Orleans: Society of petrolium Engineers, 1996.
5. Murphy H., Janus B. Managing HSE performance through sustainability reporting. SPE E&P Health, Safety, Security and Environmental Conference-Americas, 16–18 March. Denver, 2015.
6. Tarrahi M., Shadravan A. Advanced big data analytics improves HSE management. SPE Bergen One Day Seminar, 20 April. Bergen, 2016.
7. On the organization and implementation of industrial control over compliance with industrial safety requirements at a hazardous production facility: Government Decree of the Russian Federation of March 10, 1999 № 263. Sobr. zakonodatelstva Ros. Federatsii = Collection of the Russian Federation Legislation. 1999. № 11. Art. 1305. (In Russ.).
8. Fatkhutdinov R.I., Klimova I.V. On the single specific problem when mixing commercial oils. Rassokhinskie chteniya: materialy mezhdunar. konf. V 2 ch. Ch. 1 (Rassokhinskie readings: materials of the International conference In 2 parts. Part 1). Ukhta: UGTU, 2018. pp. 279–284. (In Russ.).
9. Klimova I.V., Smirnov Yu.G. Application of fuzzy modeling to predict the disease of staff from exposure to working conditions. Mathematical Modeling. 2017. Iss. 2. pp. 113–116.
10. Klimova I.V., Zakharov D.Yu., Smirnov Yu.G. Information expertise of the results of the calculation of hydrocarbon reserves. Rassokhinskie chteniya: materialy mezhdunar. konf. V 2 ch. Ch. 2 (Rassokhinskie readings: materials of the International conference. In 2 parts. Part 1). Ukhta: UGTU, 2018. pp. 141–146. (In Russ.).
11. Leonenkov A.V. Fuzzy modeling in MATLAB and fuzzyTECH. Saint-Petersburg: BKhV-Peterburg, 2005. 736 p. (In Russ.).
12. Tindova M.G. Fuzzy model of economic assessment of the environmental damage. Ekonomika: vchera, segodnya, zavtra = Economy: yesterday, today, tomorrow. 2012. № 3–4. pp. 129–139. (In Russ.).
13. Jablonowski C.J. Identification of HSE leading indicators using regression analysis. SPE Americas E&P Health, safety, security, and environmental conference, 21–23 March. Houston, 2011.