[HTML][HTML] Offshore system safety and operational challenges in harsh Arctic operations
Offshore oil and gas drilling operations are going to remote and harsh arctic environments
with demands for heightened safety and resilience of operational facilities. The remote and …
with demands for heightened safety and resilience of operational facilities. The remote and …
How can we improve process hazard identification? What can accident investigation methods contribute and what other recent developments? A brief historical survey …
Risk assessment is essential for various purposes such as facility siting, safeguarding, and
licensing. Hazard identification (HAZID), which suffers greatly from incompleteness, is still …
licensing. Hazard identification (HAZID), which suffers greatly from incompleteness, is still …
A new accident causation theory based on systems thinking and its systemic accident analysis method of work systems
J Ge, Y Zhang, K Xu, J Li, X Yao, C Wu, S Li… - Process Safety and …, 2022 - Elsevier
Major accidents such as the Space Shuttle Challenger disaster in the USA, the Bhopal
Disaster in India, the Fukushima nuclear accident in Japan, and the Tian** Port fire and …
Disaster in India, the Fukushima nuclear accident in Japan, and the Tian** Port fire and …
Identifying causality and contributory factors of pipeline incidents by employing natural language processing and text mining techniques
The key to learning from the past incidents is to identify the underlying causes and
contributory factors of the incidents. A large amount of text data on incident narratives has …
contributory factors of the incidents. A large amount of text data on incident narratives has …
A dynamic Bayesian network-based approach to resilience assessment of engineered systems
Traditional risk assessment approaches mainly focus on the pre-failure scenarios with
certain information. For complex systems, the scope of risk assessment needs to be …
certain information. For complex systems, the scope of risk assessment needs to be …
A novel data‐driven methodology for fault detection and dynamic risk assessment
This paper presents a novel methodology for dynamic risk analysis, integrating the
multivariate data‐based process monitoring and logical dynamic failure prediction model …
multivariate data‐based process monitoring and logical dynamic failure prediction model …
Fuzzy evidence theory and Bayesian networks for process systems risk analysis
Quantitative risk assessment (QRA) approaches systematically evaluate the likelihood,
impacts, and risk of adverse events. QRA using fault tree analysis (FTA) is based on the …
impacts, and risk of adverse events. QRA using fault tree analysis (FTA) is based on the …
Dynamic risk modeling of complex hydrocarbon production systems
This study presents a dynamic risk modeling strategy for a hydrocarbon sub-surface
production system under a gas lift mechanism. A data-driven probabilistic methodology is …
production system under a gas lift mechanism. A data-driven probabilistic methodology is …
An integrated dynamic failure assessment model for offshore components under microbiologically influenced corrosion
The microbiologically influenced corrosion (MIC) is a serious issue that should be
considered for effective risk-based integrity management of offshore systems under MIC …
considered for effective risk-based integrity management of offshore systems under MIC …
[HTML][HTML] Dynamic quantitative risk assessment of accidents induced by leakage on offshore platforms using DEMATEL-BN
X Meng, G Chen, G Zhu, Y Zhu - … Journal of Naval Architecture and Ocean …, 2019 - Elsevier
On offshore platforms, oil and gas leaks are apt to be the initial events of major accidents
that may result in significant loss of life and property damage. To prevent accidents induced …
that may result in significant loss of life and property damage. To prevent accidents induced …