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 …

Prediction of the internal corrosion rate for oil and gas pipeline: Implementation of ensemble learning techniques

MEAB Seghier, D Höche, M Zheludkevich - Journal of Natural Gas Science …, 2022 - Elsevier
This paper proposes a practical implementation of robust ensemble learning models for
accurate prediction of the internal corrosion rate in oil and gas pipelines. A correct …

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 …

[HTML][HTML] Predicting maximum pitting corrosion depth in buried transmission pipelines: Insights from tree-based machine learning and identification of influential factors

H Mesghali, B Akhlaghi, N Gozalpour… - Process Safety and …, 2024 - Elsevier
Pitting corrosion is a primary type of external corrosion that poses a critical challenge in the
oil and gas industry, potentially leading to severe environmental, health, and economic …

[HTML][HTML] Spatial characterization and simulation of new defects in corroded pipeline based on In-Line Inspections

R Amaya-Gómez, M Sánchez-Silva, F Muñoz… - Reliability Engineering & …, 2024 - Elsevier
Onshore pipelines are exposed to corrosion degradation, facilitated by the pipeline's
management and surrounding aggressive environmental conditions. Every 2 to 6 years …

Reliability analysis of corroded pipes using MFL signals and Residual Neural Networks

Y Chen, Z Tian, H Wei, S Dong - Process Safety and Environmental …, 2024 - Elsevier
A magnetic flux leakage (MFL) tool may identify most pipeline corrosion defects. Therefore,
analyzing the MFL signals to obtain helpful information for pipeline safety analysis is …

A discrete partially observable Markov decision process model for the maintenance optimization of oil and gas pipelines

E Wari, W Zhu, G Lim - Algorithms, 2023 - mdpi.com
Corrosion is one of the major causes of failure in pipelines for transporting oil and gas
products. To mitigate the impact of this problem, organizations perform different …

The bearing performance of the bolt-sphere joints with stochastic pitting corrosion damage

H Yuan, H Liu, X Ren, X Zhang, D Ai, Y Luo - Journal of Constructional …, 2019 - Elsevier
The bolted spherical nodes are widely used as member joints of lattice shell structures. With
long-term service in a corrosive environment, the bearing performance degradation of these …

Optimal maintenance policy for corroded oil and gas pipelines using markov decision processes

R Heidarydashtarjandi… - … of Prognostics and …, 2022 - papers.phmsociety.org
This paper presents a novel approach to determine optimal maintenance policies for
degraded oil and gas pipelines due to internal pitting corrosion. This approach builds a …

Statistical study of localized internal corrosion defects in oil and gas pipelines through sampling inspection

JC Velázquez, A Valor, F Caleyo - Process Safety and Environmental …, 2024 - Elsevier
Historical failure data of corroded oil and gas pipelines helps estimate risk and reliability
using statistical models if the distribution of the characteristics of corrosion defects is known …