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dc.contributor.authorLiu, Haoge
dc.contributor.authorGjersvik, Tor Berge
dc.contributor.authorFaanes, Audun
dc.date.accessioned2021-11-03T08:20:46Z
dc.date.available2021-11-03T08:20:46Z
dc.date.created2021-10-20T22:45:12Z
dc.date.issued2022
dc.identifier.issn0920-4105
dc.identifier.urihttps://hdl.handle.net/11250/2827431
dc.description.abstractDirectional well trajectory planning, which includes the optimization of the drilling site location and the trajectory between the drilling site to the completion interval, plays an important role in reducing subsea field development cost. The traditional well trajectory planning methods are based on the projected 2D profile of the wellbore trajectory with empirical knowledge or trial-and-error method to select a proper drilling site. In this study, we propose a new efficient optimization method based on the 3D Dubins curve, which has been widely used in autopilot for path planning but has never been mentioned in drilling industry. In short, we use gradient descent method to find the best drilling site location while adopting the 3D Dubins curve as the optimal wellbore trajectory to reach each completion interval so that the “-site--wells” problem can be easily solved. Abundant case studies including both mathematically representative cases and the real practical field cases are conducted to demonstrate the feasibility and efficiency of our method. Wider application of our method for more complex situations are also discussed. This work is the first of a series of papers which systematically introduce an efficient method for subsea field layout optimization to minimize the development cost.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleSubsea field layout optimization (Part I) – directional well trajectory planning based on 3D Dubins Curveen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume208en_US
dc.source.journalJournal of Petroleum Science and Engineeringen_US
dc.identifier.doihttps://doi.org/10.1016/j.petrol.2021.109450
dc.identifier.cristin1947452
dc.relation.projectNorges forskningsråd: 237893en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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