Advancements in corrosion prevention techniques

H Aljibori, A Al-Amiery, WNR Isahak - Journal of Bio-and Tribo-Corrosion, 2024 - Springer
Corrosion poses significant challenges across various industries, leading to economic
losses and safety concerns. This comprehensive review explores recent advancements in …

Incorporating human and organizational failures into the formation pattern for different Arctic maritime accidents using a data-driven Bayesian network

L Ma, L Chen, X Ma, T Wang, J Zhang - Ocean Engineering, 2024 - Elsevier
To gain a comprehensive understanding of formation patterns for various maritime accidents
in Arctic waters, the present study integrates human and organizational failures (HOFs) with …

A data-driven Bayesian network model for pattern recognition of maritime accidents: A case study of Liaoning Sea area

L Ma, X Ma, L Chen - Process Safety and Environmental Protection, 2024 - Elsevier
A data-driven Bayesian network (BN) model is developed to capture the individual and
collective impacts of accident influential factors (AIFs) on different attributes of maritime …

[HTML][HTML] Optimization approach for sustainable decommissioning of unpiggable subsea pipelines: Insights from the Arabian Gulf

A Reda, CV Amaechi, MA Shahin - Journal of Environmental Management, 2025 - Elsevier
Unpiggable pipelines, often inaccessible for traditional pigging operations, pose significant
risks due to residual hydrocarbons and limited inspection options. This paper presents an …