Integrity assessment of corroded oil and gas pipelines using machine learning: A systematic review-Reference-Cited by-同舟云学术

Integrity assessment of corroded oil and gas pipelines using machine learning: A systematic review

Published:2022-01 Issue: Volume:131 Page:105810
ISSN:1350-6307
Container-title:Engineering Failure Analysis
language:en
Short-container-title:Engineering Failure Analysis

Author:

Soomro Afzal Ahmed,Mokhtar Ainul Akmar,Kurnia Jundika Chandra,Lashari Najeebullah^ORCID,Lu Huimin,Sambo Chico

Funder

Kyushu Institute of Technology

Universiti Teknologi Petronas

Publisher

Elsevier BV

Subject

General Engineering,General Materials Science

Reference113 articles.

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3. M.H. Wood, A.V. Arellano, L. Van Wijk, Corrosion related accidents in petroleum refineries, European Commission Joint Research Centre, report no. EUR 26331, 2013.

4. A model for predicting failure of oil pipelines;Senouci;Struct. Infrastruct. Eng.,2014

5. M. Ilman, Analysis of internal corrosion in subsea oil pipeline, case studies in Engineering Failure Analysis 2(1) (2014) 1-8.

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