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dc.contributor.authorLei, Guowen
dc.contributor.authorStanko, Milan
dc.contributor.authorSilva, Thiago Lima
dc.date.accessioned2022-12-30T09:52:04Z
dc.date.available2022-12-30T09:52:04Z
dc.date.created2022-07-23T10:00:47Z
dc.date.issued2022
dc.identifier.issn0098-1354
dc.identifier.urihttps://hdl.handle.net/11250/3040041
dc.description.abstractA mathematical programming formulation has been developed to optimize the drilling program, the production allocation, and the decommissioning time in early-stage field development planning. Various abandonment constraints are considered in the optimization model when searching for the best decommissioning time for the long-term field development strategy. The model is tested on a real field development planning consisting of two reservoirs produced with subsea wells to an offshore facility. The novelty of this work is the utilization of mathematical programming to formulate and solve early-stage field development planning considering the variable decommissioning time. The results show that considering a variable decommissioning time in early-stage field development planning yields improved economic margins. Further, it provides operators a decision-support tool with enhanced capabilities of forecasting the best decommissioning time, improving the forecasts for processing and production planning, expected revenue and lifetime of facilities, and anticipating and preparing for field abandonment in advance. The optimization model is capable of determining the drilling and production schedules, and the optimal decommissioning time that yielded the maximum net present value for the project.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.titleFormulations for automatic optimization of decommissioning timing in offshore oil and gas field development planningen_US
dc.title.alternativeFormulations for automatic optimization of decommissioning timing in offshore oil and gas field development planningen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.volume165en_US
dc.source.journalComputers and Chemical Engineeringen_US
dc.identifier.doihttps://doi.org/10.1016/j.compchemeng.2022.107910
dc.identifier.cristin2039186
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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