Risk Analysis Methodologies
Risk Analysis Methodologies are a process for identifying and analysing undesirable events or results of a process, and determining whether the risks are acceptable. If risks are unacceptable, the process may include recommendations and assessments of risk control measures.
The process may include the following steps:
- Description of activity or process
- Hazard identification
- Accident and Incident Scenario generation
- Frequency estimation
- Consequence estimation
- Risk evaluation
Further steps may include the generation of risk control measures, and a repeat of the steps to evaluate the new risk resulting from implementation of the risk control measures.
Examples of the methodologies we use are:
- Hazard and Operability (HAZOP)
- Preliminary Hazard Analysis (PHA)
- Failure Mode and Effects Analysis (FMEA/FMECA)
- Event trees
- Cause-Consequence Analysis
- Fault tree analysis
- Bayesian network analysis
Risk analysis for ship-to-ship operations
Currently there is a strong drive in the marine business sector to increase use of alternative fuels for propulsion. Introducing an alternative fuel in large scale requires that the risks are evaluated in an efficient manner. SSPA is invited to present a paper on the GFS Conference, taking place in Hamburg in November.
Risk assessment of bridge collision – using Monte Carlo Simulation
The E39 road, connecting the Norwegian coastal cities of Kristiansand and Trondheim, includes eight ferry crossings. SSPA has been commissioned by the NPRA to conduct ship collision risk analyses and to compare different bridge and tunnel options from a navigational safety point of view.
Assessment of navigational risks imposed by gas pipelines
Natural gas has been transported through Nord Stream, the offshore gas transportation system from Russia to Germany, since 2011. Nord Stream 2 AG is currently investigating the possibilities for extending gas transportation by adding new pipelines to the existing system.
Model testing – the safe way of identifying and managing risk
Model testing in waves is often required by the classification societies in cases where it is necessary to demonstrate a behavior or effects that are impossible to predict theoretically. The challenge for a testing facility is to develop a model testing concept that adequately captures a situation and tests a design in a cost-efficient way. However, capturing the random behavior of ships in ocean waves is a particularly difficult task.