A risk-based maintenance decision model for subsea pipeline considering pitting corrosion growth

X Li, Y Liu, Z Han, G Chen - Process Safety and Environmental Protection, 2024 - Elsevier
Pitting corrosion growth of subsea pipeline can cause pipeline leak, resulting in the huge
economic losses. This study presents a risk-based model to implement the optimal …

Identification of corrosion factors in blast furnace gas pipe network with corrosion big data online monitoring technology

B Wang, Y Mu, F Shen, R Zhu, Y Li, C Liu, X Cheng… - Corrosion …, 2024 - Elsevier
To mitigate the accelerated corrosion of blast furnace gas pipelines induced by severe
environmental conditions, this study has established an extensive high-throughput sensor …

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 …

Dynamic risk evolution analysis for in-situ combustion incidents of offshore heavy oil recovery

S Wu, T Liu, L Zhang, Y Liu - Process Safety and Environmental Protection, 2024 - Elsevier
In-situ combustion for offshore heavy oil involves significant risk factors related to ignition,
gas injection, and corrosion prevention, especially under challenging operating conditions. If …

Towards proactive corrosion management: A predictive modeling approach in pipeline industrial applications

X Shao, B Cai, S Ahmed, X Zhou, Z Hu, Z Sui… - Process Safety and …, 2024 - Elsevier
Corrosion is the most significant factor affecting pipeline integrity management. It may lead
to facility damage, production interruption, environmental pollution and even explosion …

[HTML][HTML] A functional data-driven approach to monitor and analyze equipment degradation in multiproduct batch processes

J Sansana, R Rendall, MN Joswiak, I Castillo… - Process Safety and …, 2023 - Elsevier
Equipment degradation is ubiquitous in the Chemical Process Industry (CPI), causing
significant losses in efficiency, controllability, and plant economy, as well as an increased …

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 …, 2025 - 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 …

[HTML][HTML] Real-time monitoring of CO2 transport pipelines using deep learning

J Kim, H Yoon, S Hwang, D Jeong, S Ki, B Liang… - Process Safety and …, 2024 - Elsevier
Real-time pipeline monitoring is important for the safe transportation of captured CO 2. A
dynamic modeling method, which is one of pipeline monitoring methods, can provide …

[HTML][HTML] Probabilistic assessments of running ductile fractures in dense-phase and supercritical CO2 pipelines

W Zhou, P Ghoraishi, J Hu, J Kang - Process Safety and Environmental …, 2024 - Elsevier
Running ductile fracture (RDF) is a severe failure mode of high-pressure pipelines. Dense-
phase and supercritical CO 2 pipelines are particularly susceptible to RDF due to the unique …

A probabilistic analysis method for evaluating the safety & resilience of urban gas pipeline network

X Chen, Z Huang, F Ge, W Lin, F Yang - Reliability Engineering & System …, 2024 - Elsevier
Urban gas pipeline networks (UGPN) provide important support for high-quality
urbanization. Therefore, it is imperative to analyze and assess the potential failures of …