Application of an Oil Spill Response Model in Ice-bridge Simulator Training

The oil spill emergency response and recovery in the Arctic Ocean has been since a major area of research. The use of previously practiced methods such as oil spill response options – with the implementation of mechanical and non-mechanical recovery systems; the tracking and monitoring systems; and...

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Bibliographic Details
Main Author: Tagne, Ulrich Alain Kounchou
Other Authors: Pedersen, Egil, Norges teknisk-naturvitenskapelige universitet, Fakultet for ingeniørvitenskap og teknologi, Institutt for marin teknikk
Format: Master Thesis
Language:English
Published: Norges teknisk-naturvitenskapelige universitet, Fakultet for ingeniørvitenskap og teknologi, Institutt for marin teknikk 2011
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Online Access:http://hdl.handle.net/11250/238044
Description
Summary:The oil spill emergency response and recovery in the Arctic Ocean has been since a major area of research. The use of previously practiced methods such as oil spill response options – with the implementation of mechanical and non-mechanical recovery systems; the tracking and monitoring systems; and the spill trajectory and weathering systems, has been proven very effective. However these technologies cannot guaranty success when spill emergency occur. A new approach must be considered to increase the level of certainty. The overall aim of this thesis was the development of an application that can be used for oil spill response training in ice-bridge simulators. This application developed a new approach and focused on real-time objects information sharing and emergency personnel skills. Actor’s goal and behavior was modeled and a comprehensive use case and domain model was proposed following a unified modeling process. Spatial data objects were used with GIS integration and database system support. The application was implemented using distributed databases to share spatial data and information between the Trainer and the Trainees during the courses. Several training and test courses scenarios were simulated. The scenarios form the basis for new training courses on the planned ice-bridge navigation simulator facility at the University of Tromsø.