dc.contributor.author | Willersrud, Anders | |
dc.contributor.author | Imsland, Lars Struen | |
dc.contributor.author | Blanke, Mogens | |
dc.date.accessioned | 2015-11-12T10:49:25Z | |
dc.date.accessioned | 2016-01-07T14:48:48Z | |
dc.date.available | 2015-11-12T10:49:25Z | |
dc.date.available | 2016-01-07T14:48:48Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | IFAC-Papers OnLine 2015, 48(6) | nb_NO |
dc.identifier.issn | 2405-8963 | |
dc.identifier.uri | http://hdl.handle.net/11250/2372909 | |
dc.description.abstract | Pack-off is a partially or complete blocking of the circulation flow in oil and gas drilling, which can lead to costly delays. Early detection and localization of a pack-off is crucial in order to take necessary actions avoiding downtime. This incident will affect physical friction parameters in the well. A model-based adaptive observer is used to estimate these friction parameters as well as flow rates. Detecting changes to these estimates can then be used for pack-off diagnosis, which due to measurement noise is done using statistical change detection. Isolation of incident type and location is done using a multivariate generalized likelihood ratio test, determining the change direction of the estimated mean values. The method is tested on simulated data from the commercial high-fidelity multi-phase simulator OLGA, where three different pack-offs at different locations and with different magnitudes are successfully detected at an early stage and with low false alarms. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Elsevier | nb_NO |
dc.title | Early pack-off diagnosis in drilling using an adaptive observer and statistical change detection | nb_NO |
dc.type | Journal article | nb_NO |
dc.date.updated | 2015-11-12T10:49:25Z | |
dc.source.volume | 48 | nb_NO |
dc.source.journal | IFAC-Papers OnLine | nb_NO |
dc.source.issue | 6 | nb_NO |
dc.identifier.doi | 10.1016/j.ifacol.2015.08.028 | |
dc.identifier.cristin | 1288376 | |
dc.relation.project | Norges forskningsråd: 223254 | nb_NO |
dc.description.localcode | © 2015 Published by Elsevier Ltd. This is the authors' accepted and refereed manuscript to the article. Locked until 2017-01-01. | nb_NO |