Assessment of the geocryological risks of the route of the linear part of the underground pipeline laid in permafrost soils
https://doi.org/10.32686/1812-5220-2019-16-4-24-31
Abstract
The problem of forecasting and assessing the condition of underground pipelines laid in the cryolithozone is among the most urgent, priority areas of fundamental and applied research, as the violation of their work aff ects the security of the region. The real danger for underground pipelines laid in the cryolithozone is the change in the state of frozen soil around the pipeline, which can lead to uneven subsidence or buckling of the soil and, as a result, to bending and damage to the pipeline. One of the methods of detection and identifi cation of dangerous geocryological processes is geotechnical monitoring, in which the state of the natural and technical system is estimated as a result of various surveys. Geotechnical monitoring materials are heterogeneous, dependent on many factors, interrelated data. As a result of the analysis of literature, statistical data on accidents and failures of similar pipelines, experts ‘ knowledge, the factors (concepts) obtained from the materials of geotechnical monitoring and aff ecting the dynamics of geocryological processes aff ecting the pipeline route were determined. Analysis of such weakly structured data is associated with many diffi culties and can be performed using cognitive modeling methods and technologies. In this paper we consider the evaluation of the probability of activation of geocryological processes in the pipeline section and ranking of pipeline sections according to the degree of danger of geocryological processes using fuzzy logic and geotechnical monitoring data. The proposed model is performed in Fuzzy Logic MATLAB using the Mamdani algorithm. The results show that the proposed model can be used as a tool for the analysis of geocryological risks in the problems of ranking sections of the long-distance trunk pipeline in terms of the degree of danger on permafrost soils.
About the Authors
T. A. KapitonovaRussian Federation
677980, Russia, Yakutsk, Oktyabrskaya St., 1
G. P. Struchkova
Russian Federation
677980, Russia, Yakutsk, Oktyabrskaya St., 1
A. I. Levin
Russian Federation
677980, Russia, Yakutsk, Petrovskogo St., 2
References
1. Sleptsov O. I., Lyglaev A. V., Kapitonova T. A., Struchkova G. P. Study of technogenic accidents and anthropogenic impacts on the environmental safety of the Republic of Sakha (Yakutia) // Safety and emergencies problems. 2007. № 4. P. 88—94 (Russia).
2. Sleptsov O. I, Levin A. I, Struchkova G. P., Semenova T. I. Safety of the gas industry. In: Security of the Republic of Sakha (Yakutia): social, economic and technological problems / edited by V.Yu. Fridovsky, V. A. Prokhorov. Novosibirsk: Science, 2008. 296 p. Section 4. Р. 249—257 (Russia).
3. Akhmetkhanov R. S., Dubinin E. F., Kuksova V. I. Th e use of fuzzy sets in assessing and managing risks // Safety and emergencies problems. 2015. № 4. P. 56—71 (Russia).
4. Sleptsov O. I., Lyglaev A. V., Kapitonova T. A., Struchkova G. P. Study of technogenic accidents and anthropogenic impacts on the environmental safety of the Republic of Sakha (Yakutia) // Safety and emergencies problems. 2007. № 4. P. 88—94 (Russia).
5. Ali Jamshidi, Abdolreza Yazdani-Chamzini, Siamak Haji Yakhchali, Sohrab Khaleghi. Developing a new fuzzy inference system for pipeline risk assessment // Journal of Loss Prevention in the Process Industries. 2013. V. 26. Issue 1, January. P. 197—208.
6. Akhmetkhanov R. S., Dubinin E. F., Kuksova V. I. Th e use of fuzzy sets in assessing and managing risks // Safety and emergencies problems. 2015. № 4. P. 56—71 (Russia).
7. Anjuman Shahriar, Rehan Sadiq, Solomon Tesfamariam. Risk analysis for oil & gas pipelines: A sustainability assessment approach using fuzzy based bow-tie analysis // Journal of Loss Prevention in the Process Industries. 2012. Vol. 25. Issue 3, May. P. 505—523.
8. Ali Jamshidi, Abdolreza Yazdani-Chamzini, Siamak Haji Yakhchali, Sohrab Khaleghi. Developing a new fuzzy inference system for pipeline risk assessment // Journal of Loss Prevention in the Process Industries. 2013. V. 26. Issue 1, January. P. 197—208.
9. Kapitonova T. A., Struchkova G. P., Levin A. I. Analysis of the risk assessment of the gas pipeline Mastah — Berge — Yakutsk, laid in the cryolithozo ne // Safety and emergencies problems. 2018. No. 6. P. 34—43 (Russia).
10. Anjuman Shahriar, Rehan Sadiq, Solomon Tesfamariam. Risk analysis for oil & gas pipelines: A sustainability assessment approach using fuzzy based bow-tie analysis // Journal of Loss Prevention in the Process Industries. 2012. Vol. 25. Issue 3, May. P. 505—523.
11. Lisanov M. V., Sumskoy S. I., Savina A. V. et al. Risk analysis of trunk pipelines in justifying design solutions that compensate for deviations from current safety requirements // Occupational safety in industry. 2010. № 3. P. 51—59 (Russia).
12. Kapitonova T. A., Struchkova G. P., Levin A. I. Analysis of the risk assessment of the gas pipeline Mastah — Berge — Yakutsk, laid in the cryolithozo ne // Safety and emergencies problems. 2018. No. 6. P. 34—43 (Russia).
13. Lisanov M. V., Savina A. V., Degtya rev D. V., Samuseva E. A. Analysis of Russian and foreign data on accidents at pipeline transportation facilities // Occupational safety in industry. 2010. № 3. P. 51—59 (Russia).
14. Lisanov M. V., Sumskoy S. I., Savina A. V. et al. Risk analysis of trunk pipelines in justifying design solutions that compensate for deviations from current safety requirements // Occupational safety in industry. 2010. № 3. P. 51—59 (Russia).
15. Chuhareva N. V., Savitsky R. V., Blokhina O. L. Analysis of the development of an emergency situation in the construction and operation of pipeline systems in the conditions of Western Siberia // Mining Informational and Analytical Bulletin. 2011. S2. P. 454—460 (Russia).
16. Lisanov M. V., Savina A. V., Degtya rev D. V., Samuseva E. A. Analysis of Russian and foreign data on accidents at pipeline transportation facilities // Occupational safety in industry. 2010. № 3. P. 51—59 (Russia).
17. Averkin A. N. Fuzzy sets in control and artifi cial intelligence models. M.: Book on Demand, 2012. 312 p. (Russia).
18. Chuhareva N. V., Savitsky R. V., Blokhina O. L. Analysis of the development of an emergency situation in the construction and operation of pipeline systems in the conditions of Western Siberia // Mining Informational and Analytical Bulletin. 2011. S2. P. 454—460 (Russia).
19. Leonenkov A. Fuzzy modeling in MATLAB and fuzzyTech. SPb.: BHV-Petersburg, 2003. 736 p. (Russia).
20. Averkin A. N. Fuzzy sets in control and artifi cial intelligence models. M.: Book on Demand, 2012. 312 p. (Russia).
21. Shtovba S. D. Design of fuzzy systems using MATLAB. M.: Hotline — Telecom, 2007. 288 p. (Russia).
22. Leonenkov A. Fuzzy modeling in MATLAB and fuzzyTech. SPb.: BHV-Petersburg, 2003. 736 p. (Russia).
23. Shtovba S. D. Design of fuzzy systems using MATLAB. M.: Hotline — Telecom, 2007. 288 p. (Russia).
Review
For citations:
Kapitonova T.A., Struchkova G.P., Levin A.I. Assessment of the geocryological risks of the route of the linear part of the underground pipeline laid in permafrost soils. Issues of Risk Analysis. 2019;16(4):24-31. (In Russ.) https://doi.org/10.32686/1812-5220-2019-16-4-24-31