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Related Experiment Video

Updated: Jan 28, 2026

Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS

Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS

Published on: March 3, 2017

Improving oil spill trajectory modelling in the Arctic.

Tor Nordam¹, C J Beegle-Krause¹, Jørgen Skancke¹

¹SINTEF Ocean, Trondheim, Norway.

Marine Pollution Bulletin

|February 27, 2019

Summary

Updated oil spill models improve predictions in icy waters. Incorporating sea-ice velocity from coupled models enhances oil spill fate and transport simulations, crucial for arctic response planning.

Keywords:

Arctic oil spill response Oil in ice Oil spill modelling Oil spill trajectory

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Enhanced Oil Recovery using a Combination of Biosurfactants

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Published on: June 3, 2022

Area of Science:

Environmental Science
Oceanography
Arctic Studies

Background:

Increasing petroleum activities in the Arctic raise concerns about oil spills in ice-covered waters.
Accurate oil spill modeling is vital for effective contingency planning and response operations.

Purpose of the Study:

To enhance the OSCAR oil spill model by integrating high-resolution sea-ice data.
To improve the simulation of oil fate and transport in icy marine environments.

Main Methods:

Updated the OSCAR oil spill model to incorporate sea-ice velocity and coverage data from coupled ice-ocean models.
Implemented a new module for simulating oil transport in the presence of sea ice.
Validated the enhanced model using three distinct case studies.

Main Results:

The updated OSCAR model demonstrates significant improvement in simulating oil fate and transport compared to previous methods.
Utilizing sea-ice velocity from coupled ice-ocean models provides more accurate predictions than heuristic models relying on surface currents and wind.
The model's enhanced accuracy is particularly critical for response scenarios near the marginal ice zone.

Conclusions:

Integrating coupled ice-ocean model outputs into oil spill models is essential for reliable Arctic spill response.
The refined OSCAR model offers a more robust tool for predicting oil spill behavior in dynamic ice-covered waters.
Improved forecasting capabilities are critical for mitigating environmental impacts of potential Arctic oil spills.