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 …

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 …

Corrosion defect modelling of aged pipelines with a feed-forward multi-layer neural network for leak and burst failure estimation

CI Ossai - Engineering Failure Analysis, 2020 - Elsevier
Determination of the future Corrosion Defect Depth (CDD) growth of the oil and gas
pipelines is vital for the management of the integrity and mitigation of failures that can affect …

A risk-based approach to determination of optimal inspection intervals for buried oil pipelines

R Abubakirov, M Yang, N Khakzad - Process Safety and Environmental …, 2020 - Elsevier
Corrosion is a significant concern causing tremendous losses to all pipeline operators. To
combat this operational issue, new methods and tools are needed to analyze and model …

Probabilistic and statistical techniques to study the impact of localized corrosion defects in oil and gas pipelines: a review

JC Velázquez, E Hernández-Sánchez, G Terán… - Metals, 2022 - mdpi.com
Corrosion is a major cause of the loss of hermeticity in oil and gas pipelines. Corrosion
defects affect the remaining life of in-service pipelines and can lead to failures, ruptures …

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 …

Review of prediction of stress corrosion cracking in gas pipelines using machine learning

M Hussain, T Zhang, M Chaudhry, I Jamil, S Kausar… - Machines, 2024 - mdpi.com
Pipeline integrity and safety depend on the detection and prediction of stress corrosion
cracking (SCC) and other defects. In oil and gas pipeline systems, a variety of corrosion …

Inhibition effect of imidazoline inhibitor on the crevice corrosion of N80 carbon steel in the CO2-saturated NaCl solution containing acetic acid

YZ Li, N Xu, XP Guo, GA Zhang - Corrosion science, 2017 - Elsevier
Inhibition effect of imidazoline (IM) inhibitor on the crevice corrosion of N80 carbon steel in
CO 2-saturated NaCl solution containing acetic acid (HAc) was investigated by weight loss …

Predicting the Failure Probability and Reliability Based Design, Optimization for Pipelines

S Memon, OR Mohammed… - ASME …, 2017 - asmedigitalcollection.asme.org
A probabilistic model is developed in this study for calculating the failure probability and
finding the associated reliability for a given pipeline in a plant affected by the time …

Influence of aging steel on pipeline burst pressure prediction and its impact on failure probability estimation

NE González-Arévalo, JC Velázquez… - Engineering Failure …, 2021 - Elsevier
Pipelines are the most profitable mode of transportation for hydrocarbons. Typically, oil and
gas pipelines are made of low carbon steel, whose mechanical properties change due to …