Vis enkel innførsel

dc.contributor.authorCayeux, Eric
dc.contributor.authorDaireaux, Benoit
dc.contributor.authorAmbrus, Adrian
dc.contributor.authorMihai, Rodica G.
dc.contributor.authorCarlsen, Liv
dc.date.accessioned2021-09-14T10:37:19Z
dc.date.available2021-09-14T10:37:19Z
dc.date.created2021-02-12T13:38:38Z
dc.date.issued2021
dc.identifier.issn1996-1073
dc.identifier.urihttps://hdl.handle.net/11250/2776438
dc.description.abstractThe drilling process is complex because unexpected situations may occur at any time. Furthermore, the drilling system is extremely long and slender, therefore prone to vibrations and often being dominated by long transient periods. Adding the fact that measurements are not well distributed along the drilling system, with the majority of real-time measurements only available at the top side and having only access to very sparse data from downhole, the drilling process is poorly observed therefore making it difficult to use standard control methods. Therefore, to achieve completely autonomous drilling operations, it is necessary to utilize a method that is capable of estimating the internal state of the drilling system from parsimonious information while being able to make decisions that will keep the operation safe but effective. A solution enabling autonomous decision-making while drilling has been developed. It relies on an optimization of the time to reach the section total depth (TD). The estimated time to reach the section TD is decomposed into the effective time spent in conducting the drilling operation and the likely time lost to solve unexpected drilling events. This optimization problem is solved by using a Markov decision process method. Several example scenarios have been run in a virtual rig environment to test the validity of the concept. It is found that the system is capable to adapt itself to various drilling conditions, as for example being aggressive when the operation runs smoothly and the estimated uncertainty of the internal states is low, but also more cautious when the downhole drilling conditions deteriorate or when observations tend to indicate more erratic behavior, which is often observed prior to a drilling event.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleAutonomous Decision-Making While Drillingen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.rights.holderCopyright © 2021, Authors
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.3390/en14040969
dc.identifier.cristin1889212
dc.source.journalEnergiesen_US


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Navngivelse 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Navngivelse 4.0 Internasjonal