dc.contributor.author | Amar, Menad Nait | |
dc.contributor.author | Ghriga, Mohammed Abdelfatah | |
dc.contributor.author | Ouaer, Hocine | |
dc.contributor.author | Ben Seghier, Mohamed el Amine | |
dc.contributor.author | Pham, Binh Thai | |
dc.contributor.author | Andersen, Pål Østebø | |
dc.date.accessioned | 2020-04-17T08:16:28Z | |
dc.date.available | 2020-04-17T08:16:28Z | |
dc.date.created | 2020-04-16T00:50:28Z | |
dc.date.issued | 2020-03 | |
dc.identifier.citation | Amar, M.N., Ghriga, M.A., Quaer, H et al. (2020) Modeling Viscosity of CO2 at High Temperature and Pressure Conditions. Journal of Natural Gas Science and Engineering, 77 | en_US |
dc.identifier.issn | 1875-5100 | |
dc.identifier.uri | https://hdl.handle.net/11250/2651449 | |
dc.description.abstract | The present work aims at applying Machine Learning approaches to predict CO2 viscosity at different thermodynamical conditions. Various data-driven techniques including multilayer perceptron (MLP), gene expression programming (GEP) and group method of data handling (GMDH) were implemented using 1124 experimental points covering temperature from 220 to 673 K and pressure from 0.1 to 7960 MPa. Viscosity was modelled as function of temperature and density measured at the stated conditions. Four backpropagation-based techniques were considered in the MLP training phase; Levenberg-Marquardt (LM), bayesian regularization (BR), scaled conjugate gradient (SCG) and resilient backpropagation (RB). MLP-LM was the most fit of the proposed models with an overall root mean square error (RMSE) of 0.0012 mPa s and coefficient of determination (R2) of 0.9999. A comparison showed that our MLP-LM model outperformed the best preexisting Machine Learning CO2 viscosity models, and that our GEP correlation was superior to preexisting explicit correlations. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier Ltd. | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.subject | CO2 | en_US |
dc.subject | viscosity | en_US |
dc.title | Modeling Viscosity of CO2 at High Temperature and Pressure Conditions | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © 2020 TheAuthor(s). | en_US |
dc.subject.nsi | VDP::Teknologi: 500::Berg‑ og petroleumsfag: 510 | en_US |
dc.source.volume | 77 | en_US |
dc.source.journal | Journal of Natural Gas Science and Engineering | en_US |
dc.identifier.doi | 10.1016/j.jngse.2020.103271 | |
dc.identifier.cristin | 1806510 | |
dc.relation.project | Norges forskningsråd: 230303 | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |