Quantifying Monte Carlo uncertainty in ensemble Kaiman filter
dc.contributor.author | Thulin, Kristian | |
dc.contributor.author | Nævdal, Geir | |
dc.date.accessioned | 2019-12-12T06:38:51Z | |
dc.date.available | 2019-12-12T06:38:51Z | |
dc.date.issued | 2009 | |
dc.identifier.uri | http://hdl.handle.net/11250/2632833 | |
dc.description.abstract | The ensemble Kaiman filter (EnKF) is currently considered one of the most promising methods for conditioning reservoir simulation models to production data. The EnKF is a sequential Monte Carlo method based on a low rank approximation of the system covariance matrix. | nb_NO |
dc.description.sponsorship | Research Council of Norway | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | IRIS Miljø | nb_NO |
dc.title | Quantifying Monte Carlo uncertainty in ensemble Kaiman filter | nb_NO |
dc.type | Research report | nb_NO |
dc.source.issue | Report IRIS - 2009/001 | nb_NO |
dc.source.pagenumber | 16 | nb_NO |
dc.subject.nsi | Naturvitenskap | nb_NO |