Process Safety Management (PSM) is a critical framework for preventing major accidents and ensuring operational integrity in offshore oil and gas facilities. Floating Production Storage and Offloading (FPSO) units, such as FPSO XYZ, present unique challenges due to their complex systems, harsh environmental conditions, and high-risk operations. This paper assesses the effectiveness of PSM implementation on FPSO XYZ by evaluating compliance with key elements such as hazard identification, risk assessment, mechanical integrity, and emergency response planning. Using a mixed-method approach that combines quantitative performance indicators (incident rates, audit scores) and qualitative insights from workforce interviews, the study identifies strengths and gaps in the current PSM framework. Findings reveal that while regulatory compliance and technical safeguards are robust, areas such as management of change and competency assurance require improvement to mitigate human-factor-related risks. The paper concludes by recommending a risk-based performance monitoring system and digital integration of PSM elements to enhance real-time decision-making and operational resilience. This case study provides actionable insights for improving process safety in offshore operations and contributes to industry best practices for FPSO safety management.
D. Abia, D. Kalu, M. Iwegbu· SPE Nigeria Annual Internati...· 0 citations
High-rise buildings present critical fire safety challenges due to their vertical configuration, high occupant density, and complex evacuation dynamics. Fire events in such structures can escalate rapidly, with smoke spread and compromised egress routes significantly increasing risks to life and assets. Conventional fire risk assessment and evacuation strategies are largely static and pre-incident focused, limiting their effectiveness under evolving fire conditions. This paper applies Bow-Tie Analysis (BTA) to systematically identify fire hazards, escalation pathways, and key preventive and mitigative barriers in high-rise buildings, and introduces a novel framework termed Dynamic Bow-Tie Integration with Smart Evacuation Systems (DBT-SES). The proposed approach transforms traditional BTA into a real-time, adaptive risk management tool through integration of IoT-based sensing, AI-driven fire and smoke propagation modelling, and dynamic evacuation algorithms. A representative high-rise fire scenario is analysed to compare static evacuation planning with the DBT-SES framework. Results indicate improved evacuation efficiency, reduced congestion, lower occupant exposure to hazardous conditions, and enhanced barrier effectiveness under dynamic conditions. The study demonstrates the value of intelligent, data-driven barrier management and provides practical insights for improving fire risk management and emergency response in high-rise structures.
D. Abia, D. Kalu, M. Iwegbu et al.· SPE Nigeria Annual Internati...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
