Advances in corrosion growth modeling for oil and gas pipelines: A review

H Ma, W Zhang, Y Wang, Y Ai, W Zheng - Process Safety and …, 2023 - Elsevier
To quantify the progress of corrosion damage and develop pipeline integrity management
strategies, it is necessary to establish a reliable corrosion growth model. Due to the …

Evolution of corrosion prediction models for oil and gas pipelines: From empirical-driven to data-driven

Q Wang, Y Song, X Zhang, L Dong, Y Xi, D Zeng… - Engineering Failure …, 2023 - Elsevier
Oil and gas pipelines are under great threat of corrosion due to the harsh service
environment. It is critical to predict corrosion for the safe service of pipelines. Classical …

External corrosion of oil and gas pipelines: A review of failure mechanisms and predictive preventions

M Wasim, MB Djukic - Journal of Natural Gas Science and Engineering, 2022 - Elsevier
This paper presents an updated review of the external corrosion and failure mechanisms of
buried natural gas and oil pipelines. Various forms of external corrosion and failure …

A Bayesian approach to assess under-deposit corrosion in oil and gas pipelines

U Dao, R Yarveisy, S Anwar, F Khan, Y Zhang… - Process Safety and …, 2023 - Elsevier
Under-deposit corrosion (UDC) and microbiologically influenced corrosion under deposits
(UD-MIC) have increasingly been identified as severe forms of localized corrosion …

Advances in asset management techniques: An overview of corrosion mechanisms and mitigation strategies for oil and gas pipelines

CI Ossai - International Scholarly Research Notices, 2012 - Wiley Online Library
Effective management of assets in the oil and gas industry is vital in ensuring equipment
availability, increased output, reduced maintenance cost, and minimal nonproductive time …

[HTML][HTML] Predictive deep learning for pitting corrosion modeling in buried transmission pipelines

B Akhlaghi, H Mesghali, M Ehteshami… - Process Safety and …, 2023 - Elsevier
Despite significant efforts and investments in the renewable energy sector, fossil fuels
continue to provide the majority of the world's energy supply. Transmission pipelines, which …

Development of machine learning algorithms for predicting internal corrosion of crude oil and natural gas pipelines

J Fang, X Cheng, H Gai, S Lin, H Lou - Computers & Chemical Engineering, 2023 - Elsevier
Energy industry is losing billions of dollars each year due to corrosion. However, publicly
accessible datasets on pipeline corrosion are limited, making it difficult to accurately predict …

Advanced intelligence frameworks for predicting maximum pitting corrosion depth in oil and gas pipelines

MEAB Seghier, B Keshtegar… - Process Safety and …, 2021 - Elsevier
The main objective of this paper is to develop accurate novel frameworks for the estimation
of the maximum pitting corrosion depth in oil and gas pipelines based on data-driven …

Stochastic corrosion growth modeling for pipelines using mass inspection data

MR Dann, MA Maes - Reliability Engineering & System Safety, 2018 - Elsevier
Integrity assessment of corroded pipelines requires estimates of the current and future sizes
of the features. Corrosion growth is often inferred from inspection results by analyzing the …

An integrated risk prediction model for corrosion-induced pipeline incidents using artificial neural network and Bayesian analysis

P Kumari, SZ Halim, JSI Kwon, N Quddus - Process Safety and …, 2022 - Elsevier
In onshore hazardous liquid transmission pipelines, corrosion-induced incidents are
potentially significant hazard to people, property and environment. Therefore, several …