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Updated: Dec 26, 2025

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
Published on: January 16, 2018
Model-based reconstruction of the Ulysse-Virginia oil spill, October-November 2018
S Liubartseva1, M Smaoui2, G Coppini3
1Fondazione CMCC - Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna, Italy.
The MEDSLIK-II model predicted oil spill beaching near Saint-Tropez after a ship collision. Only the final model run accurately forecasted the oil landfall event, highlighting the importance of updated observational data.
Area of Science:
- Environmental Science
- Oceanography
- Marine Pollution
Background:
- A significant oil spill occurred on October 7, 2018, following a ship collision.
- Accurate prediction of oil spill transport and fate is crucial for effective environmental response.
Purpose of the Study:
- To utilize the MEDSLIK-II model to predict the transport and fate of an oil spill.
- To validate model performance against real-world observations, specifically the first oil-beaching event.
Main Methods:
- Employed the Lagrangian oil spill model MEDSLIK-II.
- Forced oil drift simulations using Copernicus Marine Service (CMEMS) sea circulation and ECMWF wind data.
- Conducted five successive model runs, incorporating observational data from REMPEC and Copernicus Sentinel-1.
Main Results:
- General consistency was observed among the model runs.
- Only the final model initialization successfully predicted the oil beaching event near Saint-Tropez on October 16.
- Stochastic simulations indicated that coastlines between Cap Lardier and the Gulf of Saint-Tropez were highly susceptible to impact.
Conclusions:
- The accuracy of oil spill prediction models is highly dependent on the timely integration of observational data.
- The MEDSLIK-II model, when properly initialized, can effectively forecast oil spill trajectories and impact zones.
- Specific coastal areas were identified as high-risk zones for future oil spill events in the region.
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