Abstract
Purpose: This study presents a method of segmenting gas pipelines by considering the locations and characteristics of the defects.<BR>Methods: A pipeline segmentation algorithm based on decision trees is used to segment gas pipelines into optimal areas according to characteristics such as distance and corrosion defects. Then, the growth of the corrosion defects and remaining life of each segment are predicted. <BR>Results: Pipeline segmentation and remaining-life prediction were performed on pigging data, and the proposed method showed that adjacent corrosion defects with similar properties could be grouped. From the remaining-life prediction of each segment, the difference in the results between high-risk and low-risk areas was clear; thus, the segment requiring priority management was identified.<BR>Conclusion: We proposed a framework for optimal segmentation of a gas pipeline. The proposed pipeline segmentation algorithm can be used for effective gas-pipeline management based on the remaining life of each segment.
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