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 …

Prediction of maximum pitting corrosion depth in oil and gas pipelines

MEAB Seghier, B Keshtegar, KF Tee, T Zayed… - Engineering Failure …, 2020 - Elsevier
Avoiding failures of corroded steel structures are critical in offshore oil and gas operations.
An accurate prediction of maximum depth of pitting corrosion in oil and gas pipelines has …

A data-driven prediction model for maximum pitting corrosion depth of subsea oil pipelines using SSA-LSTM approach

X Li, M Guo, R Zhang, G Chen - Ocean Engineering, 2022 - Elsevier
Pitting corrosion is considered to be one of the most dangerous failure forms of offshore
steel structures, and corrosion depth is treated as an important indicator of corrosion …

[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 …

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 …

A data-driven machine learning approach for corrosion risk assessment—a comparative study

CI Ossai - Big Data and Cognitive Computing, 2019 - mdpi.com
Understanding the corrosion risk of a pipeline is vital for maintaining health, safety and the
environment. This study implemented a data-driven machine learning approach that relied …

Predictive model for pitting corrosion in buried oil and gas pipelines

JC Velázquez, F Caleyo, A Valor, JM Hallen - Corrosion, 2009 - meridian.allenpress.com
A predictive model for pitting corrosion in buried pipelines is proposed. The model takes into
consideration the chemical and physical properties of the soil and pipe to predict the time …

The research progress and prospect of data mining methods on corrosion prediction of oil and gas pipelines

L Xu, Y Wang, L Mo, Y Tang, F Wang, C Li - Engineering Failure Analysis, 2023 - Elsevier
As the principal means of oil and natural gas transportation, oil and gas pipeline systems
suffer from common corrosion problems, accurate corrosion prediction of oil and gas …

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 …