New Modification Method for Safety Factor of ASME Considering Pipeline Big Data
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 11, Issue 3
Abstract
Due to the potential severity of oil and gas pipeline accidents, the accurate assessment of defective pipelines is a critical focus in petroleum engineering. Some parameters in the assessment standards are, however, limited in their technologies. This essay provides a new modification method for the safety factor (SF) of the widely accepted ASME Manual for Determining the Remaining Strength of Corroded Pipelines (B31G-2012). In the provided method, the SF is modified considering critical factors based on pipeline big data, using two big data analysis techniques, namely, correlation analysis and the analytic hierarchy process (AHP), to improve the previous one in which only the pressure of the pipeline was used during calculation. In this paper, data from an in-service pipeline is manipulated as a case to show how the modified SF is calculated. Comparative analysis with the previous results provides clear evidence that the new results are more accurate and that the SF changes according to different risk levels.
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Acknowledgments
Key Technology Projects of PetroChina Co Ltd.: Research and Application of Key Technologies for the Integrity of Overseas Long-Distance Pipelines along the “Belt and Road“ Project 2020-05 National Natural Science Foundation of China 51874322, PetroChina Innovation Foundation 2018D-5007-0601 and the China Scholarship Council 201806440117.
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Published In
Journal of Pipeline Systems Engineering and Practice
Volume 11 • Issue 3 • August 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: Feb 22, 2019
Accepted: Oct 21, 2019
Published online: Apr 8, 2020
Published in print: Aug 1, 2020
Discussion open until: Sep 8, 2020
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