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A Prediction of Corrosion-related Leakage on Distribution Pipelines via Machine Learning Method

Product Number: 51323-18972-SG

Author: Zhuoran Zhang, Guanlan Liu

Publication Date: 2023

$20.00

In the United States, there are fuel pipelines spanning more than 2.6 million miles. A major portion of the pipelines is gas distribution lines, where the product is delivered from the pressure regulating station to the customer’s home or facility. The Pipeline and Hazardous Materials and Safety Administration (PHMSA) finalized rules for Distribution Integrity Management Program (DIMP) plans in 2009, enforcing the distribution pipeline operators to assess, report, and manage the risk associated with the pipeline operation. Corrosion threat is one major threat to the pipeline operation and integrity based on CFR 192, CFR 195 and ASME B31.82. A comprehensive understanding and assessment of corrosion risk are indispensable for a safer pipeline operation. This demands a more precise understanding, prediction, and management of the pipeline corrosion

Products tagged with 'distribution pipelines'

A Prediction of Corrosion-related Leakage on Distribution Pipelines via Machine Learning Method

Association for Materials Protection and Performance