OILMAP is an oil spill model system suitable for use in oil spill response and contingency planning. Oil spill modelling using OILMAP provides rapid predictions of the movement of spilled oil. A comprehensive 3D model is included that tracks various hydrocarbon components on the water surface, in the water column, and in the air.
OILMAPWeb is a powerful, web-based oil spill modeling tool available within the OceansMap platform. It enables users to quickly simulate, visualize, and understand how oil may move and change in the marine environment, supporting faster, more informed decision-making during both planning and emergency response.
Built on decades of industry-leading modeling science, OILMAPWeb transforms complex environmental data into clear, actionable insights that help organizations prepare for and respond to oil spill events with confidence.
OILMAPWeb uses advanced computational models combined with real-time and forecast environmental data—such as winds, currents, and ocean conditions to predict the trajectory and behavior of spilled oil.
Users can easily define a spill scenario (location, volume, oil type, timing), and the system rapidly generates forecasts showing:
All results are displayed within an interactive, map-based interface, making it easy to interpret and share outputs across teams.
Generate near real-time predictions of oil movement to support immediate response actions and minimize environmental impact.
Simulate a wide range of spill conditions using customizable inputs like weather, currents, and release parameters.
Leverage OceansMap’s unified data environment to combine modeling results with geospatial data, response assets, and environmental layers in a single operational view.
Run models and access results from anywhere—no specialized software installation required—enabling collaboration across distributed teams.
Whether you are preparing for potential risks or responding to an active incident, OILMAPWeb provides the clarity needed to act decisively. By delivering rapid, science-based predictions in an intuitive web environment, it helps organizations: