The goal of an oil spill modelling study for oil spill contingency planning is to predict the behaviour and impact of potential oil spills to develop effective response strategies and minimise environmental damage. These types of studies aim to simulate various spill scenarios, considering factors such as oil type, spill volume, weather conditions, ocean currents, and coastal geography. By creating detailed models, the study provides insights into how oil spreads, where it is likely to travel, and which areas are at highest risk.

These predictions enable the formulation of targeted contingency plans, ensuring rapid and efficient deployment of resources such as containment booms, skimmers, and dispersants. The study also identifies critical habitats and vulnerable regions that require priority protection. Overall, the objective is to enhance preparedness, facilitate swift decision-making during actual spill events, and mitigate adverse effects on marine and coastal ecosystems, thus safeguarding environmental and economic resources.

Surface & shoreline stochastic modelling

We provide stochastic oil spill modelling results for identifing seasonal trends and worst case periods.

The probabilities of oil presence on surface and onshore allow us to give recommendations about periods to avoid or areas to protect.

Figure 1: Oil spill visualisation of surface drift trends after a blow-out for one season (probabilistic approach).
Figure 2: Oil weathering (Mass Balance) after a blow-out during a 60 day simulation period.
Figure 3: Oil amount on shore after a blow-out for a 60 day period.

Surface & shoreline deterministic modelling

The goal of a deterministic oil spill study is to provide a precise prediction of the trajectory and fate of oil following a spill, enabling accurate and timely response actions.

This study includes comprehensive analyses of oil weathering processes, such as evaporation, emulsification, and biodegradation, to understand how oil properties change over time in marine environments. Through rigorous testing of oil spill response techniques, including containment, recovery, and dispersant application, the study evaluates the effectiveness of various strategies under controlled conditions. The results of such a study are pivotal in refining emergency response plans, ensuring rapid deployment of resources and minimising environmental impact during actual spill incidents.

Figure 4: Surface oil drift 20 days after the start a blow-out.

Figure 5: Oil weathering (Mass Balance) after a blow-out for a 140 day simulation period.