SS: Panel- Session on Risk Management in the Offshore Energy Industry, GOM Offshore Platforms-Risk Engineering

2008 ◽  
Author(s):  
Thomas Laurendine
Keyword(s):  
Risk Management ◽  
Energy Industry ◽  
Offshore Platforms ◽  
Panel Session

Risk Analysis and Risk Management for Offshore Platforms: Lessons From the Piper Alpha Accident

1993 ◽  
Vol 115 (3) ◽  
pp. 179-190 ◽  
Author(s):  
M. E. Pate´-Cornell
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Failure Modes ◽  
Wide Spectrum ◽  
Management Strategies ◽  
Quantitative Information ◽  
Management Tool ◽  
Offshore Platforms ◽  
Safety Measures ◽  
Risk Management Strategies

A probabilistic risk analysis (PRA) framework is used to identify the accident sequence of the 1988 Piper Alpha accident. This framework is extended to include the human decisions and actions that have influenced the occurrences of these basic events, and their organizational roots. The results of this preliminary analysis allow identification of a wide spectrum of possible risk reduction measures, ranging from classical technical solutions such as addition of redundancies, to organizational improvements such as a change in the maintenance procedures. An explicit PRA model is then developed to assess the benefits of some of these safety measures based, first, on the original contribution to the overall risk of the failure modes that these measures are designed to avert, and second, on the degree to which they can reduce the probabilities of these failure modes. PRA can then be used as a management tool, allowing optimization of risk management strategies based both on the qualitative information about causalities provided by the accident, and on the quantitative information about failure probabilities updated in the light of new events. It is shown how PRA can be used to assess, for example, the cost-effectiveness of safety measures designed to decrease the probability of severe fire damage onboard platforms similar to Piper Alpha.

scholarly journals The Development of Straw-Based Biomass Power Generation in Rural Area in Northeast China—An Institutional Analysis Grounded in a Risk Management Perspective

2020 ◽  
Vol 12 (5) ◽  
pp. 1973 ◽  
Author(s):  
Lingling Wang ◽  
Tsunemi Watanabe
Keyword(s):  
Power Generation ◽  
Risk Management ◽  
Power Plant ◽  
Power Plants ◽  
Biomass Energy ◽  
Energy Industry ◽  
Biomass Supply ◽  
Management Perspective ◽  
Biomass Power Plant ◽  
Biomass Power Plants

Given a lack of consideration for the role and importance of stakeholders and the importance of stakeholders in the operation of biomass power plants in China, a comprehensive analysis oriented toward stakeholder risk management is needed to further develop the country’s biomass energy industry. Accordingly, we analyzed institutional factors that contribute to or constrain progress in biomass power generation in China. Data were collected from 275 straw suppliers (farmers) living around a biomass power plant, 15 middlemen, five power plant managers, and five local government officers. Interviews were held with all the participants, but questionnaires were additionally administered to the straw suppliers. Results showed that: (1) risk transfer in the biomass supply chain is one of the reasons why farmers are unwilling to supply straw; (2) middlemen are vital intermediaries between biomass power plant managers and farmers as a middleman-based biomass supply system is necessary to guarantee the quantity of straw supply, and; (3) the institutional structure that underlies the Chinese biomass energy industry is immature.

scholarly journals Review of QTRA and Risk-based Cost-benefit Assessment of Tree Management

2013 ◽  
Vol 39 (4) ◽  
Author(s):  
Mark Stewart ◽  
Dealga O’Callaghan ◽  
Mark Hartley
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Nuclear Power ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Offshore Platforms ◽  
Risk Management Process ◽  
Fig Trees ◽  
The 1960S

Quantified Risk Assessment (QRA) has been in wide use in risk management since the 1960s for systems ranging from aviation, nuclear power, and offshore platforms to medical treatment and pharmaceuticals. The Quantified Tree Risk Assessment (QTRA) system is examined considering the principles of QRA. A case study of 14 fig trees in Newcastle, Australia, illustrates some limitations of the QTRA process, and extrapolating risks for a single tree to a group of trees. There is a need for any risk management process involving trees, not only to assess the risk, but to weigh the benefits provided by trees by a risk-based cost-benefit analysis. Tree risk assessors should rely on benchmarks to ensure that their assessment is not outside of the realms of reality or scientific rigor.

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