Author(s): Yang Z; Chen Z; Lee K;

Amid growing concerns about oil spills in vulnerable Arctic and sub-Arctic regions driven by climate-induced ice retreat, this study presents the development and validation of the OSMT-ice model, an enhanced oil spill modeling system designed to predict the movement and fate of oil in ice-covered waters. The model incorporates ice-concentration-based (ICB ...

Article GUID: 40845360

Author(s): Yang Z; Chen Z; Xin Q; Lee K;

There is increasing concern over the environmental risks associated with deepwater petroleum exploration activities. The integration of environmental risk assessment and oil spill modeling can help to understand and quantitatively characterize the potential risks from subsea blowouts in specific regions. This study integrates a novel deepwater oil spill m ...

Article GUID: 39571296

Author(s): Chen Z; Yang Z; Lee K; Lu Y;

Offshore oil exploration and production in deepwater are associated with environmental risks to marine ecosystems. This research introduces DWOSM (Deep Water Oil Spill Model), a three-dimensional Lagrangian model, which is developed to simulate the transport and fate of oil spills resulting from subsea blowouts. DWOSM comprises three interconnected module ...

Article GUID: 38759562

Author(s): Yang Z; Chen Z; Lee K;

An Oil Spill Modeling Tool (OSMT) has been developed in this study to predict the transport and fate of oil spills resulting from surface releases. Particularly, the Kullback-Leibler (KL) divergence method is adopted as a performance metric for the first time to formulate a calibration framework for spill trajectory prediction (STP) from the Lagrangian tr ...

Article GUID: 36758314