A further study in the prediction of viscosity for Iranian crude oil reservoirs by utilizing a robust radial basis function (RBF) neural network model
In this study, a robust radial basis function neural network (RBF-NN) is developed for predicting Iranian crude oil viscosity in an extensive and precise way. Experimental data incorporate the PVT data of 720 samples gathered from Iranian central, southern, and offshore oil fields. The proposed RBF-...
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Veröffentlicht in: | Neural computing & applications 2023-05, Vol.35 (14), p.10663-10676 |
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Format: | Artikel |
Sprache: | eng |
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