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Corrosion Risk Prediction Based On Offshore Pipeline Service Database And Machine Learning

Product Number: 51322-17711-SG

Author: Zhihao Qu, Xiaoqi Yue, Yi Li, Xiaqiao Li, Lihua Hu, Yue Ren, Yao Lv, Lei Zhang

Publication Date: 2022

$20.00

Pipelines have been the main transportation pattern of oil and gas because of their safety and economy, which are considered as the lifeline of offshore oil and gas transportation. With the booming development of offshore oil industry, the frequency of pipeline leakage is also increasing. Corrosion is one of the important factors due to some characteristics such as operating environment, service life and transportation medium, etc., which damages the integrity of the pipeline and damage the normal operation of pipelines. Furthermore, leakage accidents caused by pipeline corrosion have occurred all over the world, accounting for 70~90% of total accidents, which has caused huge economy losses and catastrophic environmental damage.

Products tagged with 'global performance indicator'

Corrosion Risk Prediction Based On Offshore Pipeline Service Database And Machine Learning

Association for Materials Protection and Performance