Open AccessPipeline volumetric defect assessment method based on multi risk factors and in-line inspection data
Author(s) -
J. T. Ling,
Sheng Dong,
H. Zhang
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1043/4/042004
Subject(s) - pipeline (software) , reliability engineering , risk assessment , line (geometry) , analytic hierarchy process , residual , safety factor , risk analysis (engineering) , pipeline transport , computer science , engineering , forensic engineering , data mining , structural engineering , operations research , mechanical engineering , mathematics , algorithm , computer security , medicine , geometry
Volumetric defects in pipeline is one of the main factors causing pipeline leakage accidents. Once an accident occurs, it will cause huge economic and environmental loss. At present, the assessment of pipeline volumetric defects in existing standards is only calculate the residual strength of pipeline by defect size (length, width, depth), without considering the influence of other external risk factors. Therefore, defect-related risk factors were introduced when calculating the residual strength of defects using in-line inspection data. Due to the massive data resources produced during the construction and the operation period, a risk factor correlation analysis model for extracting the risk factors related to the pipeline safety was established. The weight of each factor is obtained by using analytic hierarchy process algorithm, and a new defect risk index was put forward. Therefore, the volumetric defect assessment method based on multiple risk factors of defects and in-line inspection data is proposed. The result of on-site examples shows that the defect assessment method proposed in this paper can reflect the true safety status of the defects, it can also provide support for scientific and reasonable pipeline maintenance decision.