dc.contributor.author | Krishnamoorthy, Dinesh | |
dc.contributor.author | Aguiar, Marco Aurelio | |
dc.contributor.author | Foss, Bjarne Anton | |
dc.contributor.author | Skogestad, Sigurd | |
dc.date.accessioned | 2019-04-04T10:37:18Z | |
dc.date.available | 2019-04-04T10:37:18Z | |
dc.date.created | 2019-01-09T23:47:09Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Proceedings of the IEEE Conference on Control Applications. 2018, 521-526. | nb_NO |
dc.identifier.issn | 1085-1992 | |
dc.identifier.uri | http://hdl.handle.net/11250/2593279 | |
dc.description.abstract | n this paper, we consider the problem of real-time optimization of an oil and gas production network. The production network is often made of several wells from different reservoir sections producing to a common processing facility. In this work, we exploit this spatial structure of the system and cast the production optimization problem into a distributed optimization problem and solve it using Lagrangian decomposition. We extend previous work on decomposition for static real-time production optimization problem by considering a dynamic real-time optimization problem. We demonstrate the applicability of the proposed method using a gas-lifted well network with shared resources and common capacity constraints. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | nb_NO |
dc.relation.uri | https://ieeexplore.ieee.org/abstract/document/8511385 | |
dc.title | A Distributed Optimization Strategy for Large Scale Oil and Gas Production Systems | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 521-526 | nb_NO |
dc.source.journal | Proceedings of the IEEE Conference on Control Applications | nb_NO |
dc.identifier.doi | 10.1109/CCTA.2018.8511385 | |
dc.identifier.cristin | 1653667 | |
dc.relation.project | Norges forskningsråd: 237893 | nb_NO |
dc.description.localcode | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | nb_NO |
cristin.unitcode | 194,66,30,0 | |
cristin.unitcode | 194,13,0,0 | |
cristin.unitname | Institutt for kjemisk prosessteknologi | |
cristin.unitname | Prorektor for forskning | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 0 | |