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dc.contributor.authorBrachner, Markus
dc.contributor.authorHvattum, Lars Magnus
dc.date.accessioned2023-02-14T07:55:13Z
dc.date.available2023-02-14T07:55:13Z
dc.date.created2016-11-23T09:56:03Z
dc.date.issued2016
dc.identifier.citationNIKT: Norsk IKT-konferanse for forskning og utdanning. 2016en_US
dc.identifier.issn1892-0713
dc.identifier.urihttps://hdl.handle.net/11250/3050538
dc.description.abstractEmergency preparedness is crucial for oil and gas operators. While accidents in this industry are commonly connected to oil spill disasters, helicopter accidents are, in terms of incidence rates, a more grave concern in Norway. A recent helicopter accident near Bergen has brought this subject back into focus. We introduce RescUSim, a simulator for rescue missions after offshore helicopter accidents, which is implemented as an open source library with bindings for the Python language. We discuss the modules in the existing Python ecosystem that are used for data preparation and analysis. We show how RescUSim and the interactive computing environment IPython can join forces to provide a tool for planning rescue preparedness for oil and gas related offshore activities.en_US
dc.language.isoengen_US
dc.relation.urihttp://ojs.bibsys.no/index.php/NIK/article/view/366/312
dc.titleRescUSim and IPython : an environment for offshore emergency preparedness planningen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber12en_US
dc.source.journalNIKT: Norsk IKT-konferanse for forskning og utdanningen_US
dc.identifier.cristin1403186
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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