Reliability-based maintenance optimization of long-distance oil and gas transmission pipeline networks

B Zerouali, Y Sahraoui, M Nahal… - Reliability Engineering & …, 2024 - Elsevier
This paper presents a maintenance model for optimal planning of pipeline network
inspections subjected to corrosion and residual stress. The proposed model includes …

Data-driven atmospheric corrosion prediction model for alloys based on a two-stage machine learning approach

Q Chen, H Wang, H Ji, X Ma, Y Cai - Process Safety and Environmental …, 2024 - Elsevier
Alloy material corrosion is a comprehensive problem affected by multi-dimensional factors,
including the time, environment, and material element. Its corrosion prediction has been …

Research and application for corrosion rate prediction of natural gas pipelines based on a novel hybrid machine learning approach

L Xu, J Yu, Z Zhu, J Man, P Yu, C Li, X Wang, Y Zhao - Coatings, 2023 - mdpi.com
An accurate and stable prediction of the corrosion rate of natural gas pipelines has a major
impact on pipeline material selection, inhibitor filling process, and maintenance schedules …

[HTML][HTML] Enhancing oxygen scavenging properties of erythorbic acid through transition metal catalysis

A Al Helal, S Ajjaoui, MM Mohammed… - Process Safety and …, 2023 - Elsevier
The presence of oxygen in pipelines used in power plants and the oil industry requires
vigilant attention and utilization of oxygen scavenging to prevent the deleterious effects of …

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 …

[HTML][HTML] Stochastic finite element-based reliability of corroded pipelines with interacting corrosion clusters

A Mensah, S Sriramula - Process Safety and Environmental Protection, 2024 - Elsevier
The performance of corroded carbon steel pipelines over the course of their design life is
generally assessed by probabilistic variables with explicit limit state functions, rather than …

A PSO-RBF prediction method on flow corrosion of heat exchanger using the industrial operations data

H Jin, M Wang, H Xiang, X Liu, C Wang, D Fu - Process Safety and …, 2024 - Elsevier
With the development of the petrochemical industry, corrosion problems of special
equipment occur frequently. How to achieve accurate prevention and control of equipment …

A Probabilistic Framework for External Pitting Corrosion Growth Modelling for Buried Steel Pipelines Considering Soil Properties

EM Farahani, Q Huang, H Wang - … Journal of Pressure Vessels and Piping, 2024 - Elsevier
This paper introduces a novel framework for developing reliable probabilistic predictive
corrosion growth models for buried steel pipelines using pipeline inspection data. The …

Prediction of external corrosion rate for buried oil and gas pipelines: a novel deep learning with DNN and attention mechanism method

Y Guang, W Wang, H Song, H Mi, J Tang… - International Journal of …, 2024 - Elsevier
Buried pipelines is easily subjected to external corrosion affected by complex underground
environment, such as soil resistivity, pH, dissolved ion concentration, water content and …

Risk assessment of gas pipeline using an integrated Bayesian belief network and GIS: Using Bayesian neural networks for external pitting corrosion modelling

H Woldesellasse, S Tesfamariam - The Canadian Journal of …, 2024 - Wiley Online Library
Corrosion poses a great risk to the integrity of oil and gas pipelines, leading to substantial
investments in corrosion control and management. Several studies have been conducted on …