dc.contributor.advisor | Aamodt, Agnar | nb_NO |
dc.contributor.author | Valås, Inge Åsmund | nb_NO |
dc.date.accessioned | 2014-12-19T13:33:18Z | |
dc.date.available | 2014-12-19T13:33:18Z | |
dc.date.created | 2010-09-03 | nb_NO |
dc.date.issued | 2005 | nb_NO |
dc.identifier | 348149 | nb_NO |
dc.identifier | ntnudaim:1457 | nb_NO |
dc.identifier.uri | http://hdl.handle.net/11250/251047 | |
dc.description.abstract | A Data-intensive Approach to Prediction of Unwanted Events during Oil and Gas Well Drilling | nb_NO |
dc.language | eng | nb_NO |
dc.publisher | Institutt for datateknikk og informasjonsvitenskap | nb_NO |
dc.subject | ntnudaim | no_NO |
dc.subject | MIT informatikk | no_NO |
dc.subject | Kunstig intelligens og læring | no_NO |
dc.title | A Data-intensive Approach to Prediction of Unwanted Events during Oil and Gas Well Drilling | nb_NO |
dc.type | Master thesis | nb_NO |
dc.source.pagenumber | 172 | nb_NO |
dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskap | nb_NO |