Прогнозирование остаточного ресурса материала гибкой насосно-компрессорной трубы на основе кинетической теории усталости
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Prediction of coiled tubing material residual life based on the kinetic theory of fatigue

idIvzhenko S.P. idVdovin A.S. idPechenkin V.V. idRakcheev V.L.

UDC 621.539.43.001.24
DOI: 10.26102/2310-6018/2023.40.1.017

  • Abstract
  • List of references
  • About authors

Coiled tubing technologies are actively used in the process of well drilling and well intervention. During the operation of a coiled tubing unit, it is necessary to obtain a real-time assessment of the residual life of the installation equipment, in particular, the residual life of the coiled tubing. The main damaging factors of a flexible pipe include bending loads, internal pressure effects, axial impacts, exposure to aggressive media. The most important task of predicting the state of a coiled tubing is the construction of a mathematical model that allows the most accurate description of the process of fatigue damage accumulation under low-cycle loads. An analysis of the literature sources available for study showed that nowadays it is essential to develop methods and algorithms that enable assessing the knee fatigue of the flexible tubing material on a complex trajectory of movement where the pipe is subjected to bending loads with different intensities. The solution to this problem substantiates the development of a mathematical model that relates the calculation of damage in the area of low-cycle deformations, taking into account damage that has been previously kneeled. The purpose of this research is to develop methods and algorithms for constructing a predictive model of the current state of the coiled tubing material considering the accumulated damage based on semi-empirical models as part of the kinetic theory of fatigue. By means of the methods for constructing algorithms for processing data from low-cycle tests as part of the kinetic theory of fatigue and mathematical models for estimating the residual life of the test sample, the article proposes a solution that helps to calculate the damage parameter of the sample in the event of damage accumulation in various sections of the coiled tubing trajectory. The materials of the article are of practical value for researchers dealing with the problems of calculating the residual life of flexible pipes under the conditions of their cyclic deformation.

1. L'vovich Ja.E., Pitolin A.V., Sorokin S.O. Multi-aspect digital environment design optimization of homogeneous objects based on the procedures of decomposition and aggregation. Modelirovanie, optimizacija i informacionnye tehnologii = Modeling, optimization and information technology. 2019;7(2). (In Russ.).

2. Vdovin A.S., Ivzhenko S.P. Development of an information system for predicting the state of equipment for drilling wells using coiled tubing. Problemy upravlenija v social'no-jekonomicheskih i tehnicheskih sistemah: Sbornik nauchnyh statej Materialy XV Mezhdunarodnoj nauchno-prakticheskoj konferencii = Management problems in socio-economic and technical systems: Collection of scientific articles Proceedings of the XV International Scientific and Practical Conference. 2019:69–75. (In Russ.).

3. Vdovin A.S. Development of methods and algorithms for predicting the state of equipment to improve the efficiency of the coiled tubing well drilling control system. Problemy upravlenija v social'no-jekonomicheskih i tehnicheskih sistemah: Materialy XVII Mezhdunarodnoj nauchno-prakticheskoj konferencii = Management problems in socio-economic and technical systems: Proceedings of the XVII International Scientific and Practical Conference. 2021:117–119. (In Russ.).

4. L'vovich Ja.E. On approaches related to the assessment of the strength of objects. Za nami budushhee: vzgljad molodyh uchenyh na innovacionnoe razvitie obshhestva: Sbornik nauchnyh statej 2-j Vserossijskoj molodezhnoj nauchnoj konferencii = The future is behind us: a view of young scientists on the innovative development of society: Collection of scientific articles of the 2nd All-Russian Youth Scientific Conference. 2021;4:254–257. (In Russ.).

5. Pavlov V.F., Kirpichyov V.A., Kocherova E.E. Evaluation of low cycle fatigue based on the use of Coffin-Manson dependence under zero-to-"soft" loading cycle. Vestnik Samarskogo universiteta. Ajerokosmicheskaja tehnika, tehnologii i mashinostroenie = Vestnik of Samara University. Aerospace and Mechanical Engineering. 2017;16(1):129–136. (In Russ.).

6. Gorbovets M.A., Hodinev I.A., Ryzhkov P.V., Low-cycle fatigue at high temperatures of heat-resistant nickel-based alloy manufactured by selective laser melting. Aviacionnye materialy i tehnologii = Aviation materials and technologies. 2019;(4):65–73. (In Russ.).

7. Kima S.-J., Pil H.С., Dewa R.T., Kim W.-G., Kim M.-H. Low cycle fatigue properties of Alloy 617 base metal and weld joint at room temperature. Procedia Materials Science. 2014;(3):2201–2206.

8. Grigoriev V.V., Zarubina E.V., Repin D.S. Development of a pipeline performance research model. Sbornik materialov mezhdunarodnoj nauchno-prakticheskoj konferencii, posvjashhennoj 90-letiju obrazovanija grazhdanskoj oborony. Ivanovo. = Collection of materials of the international scientific-practical conference dedicated to the 90th anniversary of the formation of civil defense. Ivanovo. 2022:11–14. (In Russ.).

9. Cruces A., Lopez-Crespo P., Moreno B., Antunes F. Multiaxial Fatigue Life Prediction on S355 Structural and Offshore Steel Using the SKS Critical Plane Model. Metals. [Internet] 2018;8(12):1060. Available from: https://doi.org/10.3390/met8121060 (accessed on 20.12.2022).

10. Liu K.C., Wang J.A. An energy method for predicting fatigue life, crack orientation, and crack growth under multiaxial loading conditions. Int. J. Fatigue. 2001;23:129–134. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0142112301001694 (accessed on 21.12.2022).

11. Branco R., Costa J.D.M., Antunes F.V. Fatigue behaviour and life prediction of lateral notched round bars under bending-torsion loading. Engineering Fracture Mechanics. 2014;119(1):66–84.

12. Hou Xuejun, He Jia, Sun Tenfei Analysis of Critical Buckling and Contact Loads on Coiled Tubing String in Vertical Microhole. Himija i tehnologija topliv i masel = Chemistry and technology of fuels and oils. 2015;(3):44–50. (In Russ.).

13. Pochtennyj E.K. Life prediction and fatigue diagnostics of machine parts. Mn.: Science and technology; 1983. 246 p. (In Russ.).

14. Syzrantsev V.N., Chernaya L.A., Syzrantseva K.V. The calculation of equivalent fatigue stresses. Izvestija vysshih uchebnyh zavedenij. Mashinostroenie = BMSTU Journal of Mechanical Engineering. 2013;(10):30– 35. (In Russ.).

15. Syzrantsev V.N., Syzrantseva K.V. Determination of stresses and residual life in accordance with indications of variable-sensitivity integral strain gauge. Izvestija Tomskogo politehnicheskogo universiteta. Inzhiniring georesursov = Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering. 2017;328(9):82– 93. (In Russ.).

16. Syzrantsev V.N. Data processing for calibration of fatigue sensors. Novye informacionnye tehnologii v neftegazovoj otrasli i obrazovanii: Materialy IX Mezhdunarodnoj nauchno-prakticheskoj konferencii-konkursa = New Information Technologies in the Oil and Gas Industry and Education: Proceedings of the IX International Scientific and Practical Conference-Competition. 2022:148–151. (In Russ.).

Ivzhenko Sergey Petrovich
Candidate of Physical and Mathematical Sciences, Associate Professor
Email: sarvizir@mail.ru

ORCID | eLibrary |

Yuri Gagarin State Technical University of Saratov

Saratov, Russian Federation

Vdovin Aleksandr Sergeevich

ORCID | eLibrary |

Yuri Gagarin State Technical University of Saratov

Saratov, Russian Federation

Pechenkin Vitaly Vladimirovich
Doctor of Sociological Sciences, Candidate of Physical and Mathematical Sciences, Professor
Email: pechenkinvv@mail.ru

WoS | Scopus | ORCID | eLibrary |

Yuri Gagarin State Technical University of Saratov

Saratov, Russian Federation

Rakcheev Victor Leonidovich

Email: v.rakcheev@fj-volga.com

ORCID |

Yuri Gagarin State Technical University of Saratov

Saratov, Russian Federation

Keywords: coiled tubing, low-cycle fatigue, damage accumulation, cyclic stresses, kinetic theory of mechanical fatigue, equivalent stresses

For citation: Ivzhenko S.P. Vdovin A.S. Pechenkin V.V. Rakcheev V.L. Prediction of coiled tubing material residual life based on the kinetic theory of fatigue. Modeling, Optimization and Information Technology. 2023;11(1). URL: https://moitvivt.ru/ru/journal/pdf?id=1300 DOI: 10.26102/2310-6018/2023.40.1.017 (In Russ).

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Full text in PDF

Received 29.12.2022

Revised 31.01.2023

Accepted 03.03.2023

Published 31.03.2023