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dc.contributor.authorHosnaroudi, Soheila Taghavi
dc.contributor.authorGhaderi, Ali
dc.date.accessioned2022-05-06T12:46:09Z
dc.date.available2022-05-06T12:46:09Z
dc.date.created2021-11-16T15:57:18Z
dc.date.issued2021
dc.identifier.citationHosnaroudi, S. T., & Ghaderi, A. (2021, 21.-23. september). On Uncertainty Analysis of the Rate Controlled Production (RCP) Model. The First SIMS EUROSIM Conference on Modelling and Simulation, SIMS EUROSIM 2021, and 62nd International Conference of Scandinavian Simulation Society, SIMS 2021. Finland.en_US
dc.identifier.issn1650-3686
dc.identifier.urihttps://hdl.handle.net/11250/2994604
dc.description.abstractRate controlled production (RCP) model is used to simulate and investigate the performance of the oil wells which are completed by autonomous inflow control devices. In order to quantify the performance of the RCP model, a dimensionless version of the model is considered, and its parameters are estimated. We demonstrate how the model and the measurement uncertainties can be quantified within the Bayesian statistical inference framework. In this relation, Hamilton Monte Carlo (HMC) is used to draw samples from the joint posterior probability distribution. We demonstrate that at the calibration step the modified model is able to capture the variations in the measurements. However, the cross- validation with the new data has revealed that the modified model tends to overpredict the pressure drop. This inadequacy cannot be explained by the measurement noise or the uncertainty in the estimated parameters. These results also imply that the original RCP model needs revision.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleOn Uncertainty Analysis of the Rate Controlled Production (RCP) Modelen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 The Author(s).2022 Soheila Taghavi, Ali Ghaderi.en_US
dc.source.journalLinköping Electronic Conference Proceedingsen_US
dc.identifier.doihttps://doi.org/10.3384/ecp21185271
dc.identifier.cristin1955256
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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