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dc.contributor.authorLei, Guowen
dc.contributor.authorStanko, Milan
dc.contributor.authorSilva, Thiago Lima
dc.identifier.citationComputers and Chemical Engineering, 2022, 165, 14.en_US
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.rightsNavngivelse 4.0 Internasjonal*
dc.subjectUncertainty analysisen_US
dc.subjectMathematical programmingen_US
dc.subjectVariable abandonment timingen_US
dc.subjectOptimal decommissioning strategyen_US
dc.subjectField development optimizationen_US
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.typePeer revieweden_US
dc.typeJournal articleen_US
dc.rights.holder© 2022 The Author(s). Published by Elsevier Ltd.en_US
dc.source.journalComputers and Chemical Engineeringen_US

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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal