FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2023243769> ?p ?o ?g. }

• W2023243769 endingPage "256" @default.
• W2023243769 startingPage "244" @default.
• W2023243769 abstract "Summary Although ensemble-based data-assimilation methods such as the ensemble Kalman filter (EnKF) and the ensemble smoother have been extensively used for the history matching of synthetic models, the number of applications of ensemble-based methods for history matching of field cases is extremely limited. In most of the published field cases in which the ensemble-based methods were used, the number of wells and the types of data to be matched were relatively small. As a result, it may not be clear to practitioners how a real history-matching study would be accomplished with ensemble-based methods. In this paper, we describe the application of the iterative ensemble smoother to the history matching of the Norne field, a North Sea field, with a moderately large number of wells, a variety of data types, and a relatively long production history. Particular attention is focused on the problems of the identification of important variables, the generation of an initial ensemble, the plausibility of results, and the efficiency of minimization. We also discuss the challenges encountered in the use of the ensemble-based method for complex-field case studies that are not typically encountered in synthetic cases. The Norne field produces from an oil-and-gas reservoir discovered in 1991 offshore Norway. The full-field model consists of four main fault blocks that are in partial communication and many internal faults with uncertain connectivity in each fault block. There have been 22 producers and 9 injectors in the field. Water-alternating-gas injection is used as the depletion strategy. Production rates of oil, gas, and water of 22 producers from 1997 to 2006 and repeat-formation-tester (RFT) pressure from 14 different wells are available for model calibration. The full-field simulation model has 22 layers, each with a dimension of 46 × 112 cells. The total number of active cells is approximately 45,000. The Levenberg-Marquardt form of the iterative ensemble smoother (LM-EnRML) is used for history matching. The model parameters that are updated include permeability, porosity, and net-to-gross (ntg) ratio at each gridblock; vertical transmissibility at each gridblock for six layers; transmissibility multipliers of 53 faults; endpoint water and gas relative permeability of four different reservoir zones; depth of water/oil contacts; and transmissibility multipliers between a few main fault blocks. The total number of model parameters is approximately 150,000. Distance-based localization is used to regularize the updates from LM-EnRML. LM-EnRML is able to achieve improved data match compared with the manually history-matched model after three iterations. Updates from LM-EnRML do not introduce artifacts in the property fields as in the manually history-matched model. The automated workflow is also much less labor-intensive than that for manual history matching." @default.
• W2023243769 created "2016-06-24" @default.
• W2023243769 creator A5023978011 @default.
• W2023243769 creator A5050888055 @default.
• W2023243769 date "2014-03-25" @default.
• W2023243769 modified "2023-09-29" @default.
• W2023243769 title "History Matching of the Norne Full-Field Model With an Iterative Ensemble Smoother" @default.
• W2023243769 cites W1512208174 @default.
• W2023243769 cites W1965575164 @default.
• W2023243769 cites W2004124997 @default.
• W2023243769 cites W2007857026 @default.
• W2023243769 cites W2014890868 @default.
• W2023243769 cites W2094470710 @default.
• W2023243769 cites W2094527496 @default.
• W2023243769 cites W2094565829 @default.
• W2023243769 cites W2157098139 @default.
• W2023243769 doi "https://doi.org/10.2118/164902-pa" @default.
• W2023243769 hasPublicationYear "2014" @default.
• W2023243769 type Work @default.
• W2023243769 sameAs 2023243769 @default.
• W2023243769 citedByCount "68" @default.
• W2023243769 countsByYear W20232437692015 @default.
• W2023243769 countsByYear W20232437692016 @default.
• W2023243769 countsByYear W20232437692017 @default.
• W2023243769 countsByYear W20232437692018 @default.
• W2023243769 countsByYear W20232437692019 @default.
• W2023243769 countsByYear W20232437692020 @default.
• W2023243769 countsByYear W20232437692021 @default.
• W2023243769 countsByYear W20232437692022 @default.
• W2023243769 countsByYear W20232437692023 @default.
• W2023243769 crossrefType "journal-article" @default.
• W2023243769 hasAuthorship W2023243769A5023978011 @default.
• W2023243769 hasAuthorship W2023243769A5050888055 @default.
• W2023243769 hasConcept C105795698 @default.
• W2023243769 hasConcept C11413529 @default.
• W2023243769 hasConcept C119857082 @default.
• W2023243769 hasConcept C119898033 @default.
• W2023243769 hasConcept C124101348 @default.
• W2023243769 hasConcept C127313418 @default.
• W2023243769 hasConcept C153294291 @default.
• W2023243769 hasConcept C154945302 @default.
• W2023243769 hasConcept C157286648 @default.
• W2023243769 hasConcept C162284963 @default.
• W2023243769 hasConcept C165064840 @default.
• W2023243769 hasConcept C187320778 @default.
• W2023243769 hasConcept C202444582 @default.
• W2023243769 hasConcept C205649164 @default.
• W2023243769 hasConcept C206833254 @default.
• W2023243769 hasConcept C24552861 @default.
• W2023243769 hasConcept C2778668878 @default.
• W2023243769 hasConcept C33923547 @default.
• W2023243769 hasConcept C41008148 @default.
• W2023243769 hasConcept C45942800 @default.
• W2023243769 hasConcept C78762247 @default.
• W2023243769 hasConcept C79334102 @default.
• W2023243769 hasConcept C9652623 @default.
• W2023243769 hasConceptScore W2023243769C105795698 @default.
• W2023243769 hasConceptScore W2023243769C11413529 @default.
• W2023243769 hasConceptScore W2023243769C119857082 @default.
• W2023243769 hasConceptScore W2023243769C119898033 @default.
• W2023243769 hasConceptScore W2023243769C124101348 @default.
• W2023243769 hasConceptScore W2023243769C127313418 @default.
• W2023243769 hasConceptScore W2023243769C153294291 @default.
• W2023243769 hasConceptScore W2023243769C154945302 @default.
• W2023243769 hasConceptScore W2023243769C157286648 @default.
• W2023243769 hasConceptScore W2023243769C162284963 @default.
• W2023243769 hasConceptScore W2023243769C165064840 @default.
• W2023243769 hasConceptScore W2023243769C187320778 @default.
• W2023243769 hasConceptScore W2023243769C202444582 @default.
• W2023243769 hasConceptScore W2023243769C205649164 @default.
• W2023243769 hasConceptScore W2023243769C206833254 @default.
• W2023243769 hasConceptScore W2023243769C24552861 @default.
• W2023243769 hasConceptScore W2023243769C2778668878 @default.
• W2023243769 hasConceptScore W2023243769C33923547 @default.
• W2023243769 hasConceptScore W2023243769C41008148 @default.
• W2023243769 hasConceptScore W2023243769C45942800 @default.
• W2023243769 hasConceptScore W2023243769C78762247 @default.
• W2023243769 hasConceptScore W2023243769C79334102 @default.
• W2023243769 hasConceptScore W2023243769C9652623 @default.
• W2023243769 hasIssue "02" @default.
• W2023243769 hasLocation W20232437691 @default.
• W2023243769 hasOpenAccess W2023243769 @default.
• W2023243769 hasPrimaryLocation W20232437691 @default.
• W2023243769 hasRelatedWork W2017755194 @default.
• W2023243769 hasRelatedWork W2101981609 @default.
• W2023243769 hasRelatedWork W2160343576 @default.
• W2023243769 hasRelatedWork W2179584279 @default.
• W2023243769 hasRelatedWork W2182570291 @default.
• W2023243769 hasRelatedWork W2240479891 @default.
• W2023243769 hasRelatedWork W2592766532 @default.
• W2023243769 hasRelatedWork W2597202463 @default.
• W2023243769 hasRelatedWork W2981888849 @default.
• W2023243769 hasRelatedWork W4251269606 @default.
• W2023243769 hasVolume "17" @default.
• W2023243769 isParatext "false" @default.
• W2023243769 isRetracted "false" @default.
• W2023243769 magId "2023243769" @default.
• W2023243769 workType "article" @default.