Comparing classical and neural regression techniques in modeling crude oil viscosity
Authors:
- A.M. ElsharkwyAEA.M. Elsharkwy
- R.B.C. GharbiRGR.B.C. Gharbi
- 1 February 2001
- journal article
- Published by Elsevier in Advances in Engineering Software
- Vol. 32 (3) , 215-224
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Models for predicting the viscosity of Middle East crude oilsFuel, 1999
- Improved correlations for predicting the viscosity of light crudesJournal of Petroleum Science and Engineering, 1992
- New Correlation for Estimating the Viscosity of Undersaturated Crude OilsJournal of Canadian Petroleum Technology, 1990
- Evaluation of Empirically Derived PVT Properties for Gulf of Mexico Crude OilsSPE Reservoir Engineering, 1990
- Viscosity Correlations for Saudi Arabian Crude Oils1987
- Correlations for Fluid Physical Property PredictionJournal of Petroleum Technology, 1980
- Generalized Pressure-Volume-Temperature CorrelationsJournal of Petroleum Technology, 1980
- Estimating the Viscosity of Crude Oil SystemsJournal of Petroleum Technology, 1975
- A Viscosity Correlation for Gas-Saturated Crude OilsTransactions of the AIME, 1959
- The Viscosity of Air, Water, Natural Gas, Crude Oil and Its Associated Gases at Oil Field Temperatures and PressuresTransactions of the AIME, 1946