Quantitative risk assessment software

Quantitative risk assessment (QRA) software and methodologies give estimates of risks, given the parameters defining them. They are used in the financial sector, the chemical process industry, and other areas.

In financial terms, quantitative risk assessments include a calculation of the single loss expectancy of monetary value of an asset.

In the chemical process and petrochemical industries a QRA is primarily concerned with determining the potential loss of life (PLL) caused by undesired events. Specialist software can be used to model the effects of such an event, and to help calculate the potential loss of life. Some organisations use the risk outputs to assess the implied cost to avert a fatality (ICAF) which can be used to set quantified criteria for what is an unacceptable risk and what is tolerable.

For the explosives industry, QRA can be used for many explosive risk applications. It is especially useful for site risk analysis when reliance on quantity distance (QD) tables is not feasible.

The following products have been superseded, or are no longer available:

Some of the QRA software models described above must be used in isolation: for example the results from a consequence model cannot be used directly in a risk model. Other QRA software programs link different calculation modules together automatically to facilitate the process. Some of the software is proprietary and can only be used within certain organisations.

Due to the large amount of data processing required by QRA calculations, the usual approach has been to use two-dimensional ellipses to represent hazard zones such as the area around an explosion which poses a 10% chance of fatality. Similarly, a pragmatic approach is used in the simplification of dispersion results. Typically a flat terrain, unobstructed world is used to determine the behaviour of a dispersing cloud and/or a vaporizing pool. This presents problems when the effects of non-flat terrain or the complex geometry of process plants would no doubt affect the behaviour of a dispersing cloud. Though they have limitations, the 2D hazard zone and simplified approach to 3D dispersion modelling allow the handling of large volumes of risk results with known assumptions to assist in decision-making. The trade-off shifts as computer processing power increases.

The modeling of the consequences of hazardous events in a true 3D manner may require a different approach, for example using a computational fluid dynamics method to study cloud dispersion over hilly terrain. The creation of CFD models requires significantly more investment of time on the part of the modeling analyst (because of the increased complexity of the modeling), which may not be justified in all cases.

...
Wikipedia