Assessment and prediction of pipeline metal deformation based on monitoring data using embedded smart elements
UDC: 622.691.4.053
DOI: -
Authors:
LYAPICHEV DMITRY M.
1,
ANDREEV DANIIL I.1,
ADMAKIN MAKSIM M.2
1 National University of Oil and Gas "Gubkin University", Moscow, Russia
2 Gazenergoexpertiza, St. Petersburg, Russia
Keywords: technical condition monitoring, main gas pipeline, pipeline bending, smart insert, intelligent pipe, deformation measurement, stress-strain state of pipelines
Annotation:
The authors of the article study of the stress-strain state (SSS) of main pipelines metal based on monitoring data obtained with the help of embedded smart elements. The authors analyze the dynamics of SSS changes during a long-term operation, focusing on sections exposed to external influences, such as soil creep. The authors also present a methodology for predicting pipeline operational lifetime using retrospective data and propose an approach to long-term deformation analysis employing linear regression. The research is based on monitoring data from a potentially hazardous section of a DN 1400 main gas pipeline located on a steep riverbank slope. The authors identify correlations between deformation changes and internal pipeline pressure as well as analyze signs of the structure bending development. The results demonstrate the possibility of forecasting hazardous geological processes and emphasize the importance of detailed monitoring data analysis to ensure pipeline operational safety.
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