Viscosity prediction in selected Iranian light oil reservoirs: Artificial neural network versus empirical correlations
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Mohammad Soleimani Lashkenari | Majid Taghizadeh | Bahman Mehdizadeh | M. Taghizadeh | M. S. Lashkenari | B. Mehdizadeh
[1] Q. D. Nguyen,et al. Isothermal start-up of pipeline transporting waxy crude oil , 1999 .
[2] Salih O. Duffuaa,et al. Viscosity Correlations for Saudi Arabian Crude Oils , 1987 .
[3] Jennifer D. Adams,et al. The Origin, Prediction and Impact of Oil Viscosity Heterogeneity on the Production Characteristics of Tar Sand and Heavy Oil Reservoirs , 2006 .
[4] H. D. Beggs,et al. Estimating the Viscosity of Crude Oil Systems , 1975 .
[5] Payam Setoodeh,et al. Artificial Neural Network Modeling of Surface Tension for Pure Organic Compounds , 2012 .
[6] Tülay Adali,et al. Fully Complex Multi-Layer Perceptron Network for Nonlinear Signal Processing , 2002, J. VLSI Signal Process..
[7] E. Egbogah,et al. An Improved Temperature-Viscosity Correlation For Crude Oil Systems , 1990 .
[8] Yaxiong Zhang,et al. An improved QSPR study of standard formation enthalpies of acyclic alkanes based on artificial neural networks and genetic algorithm , 2009 .
[9] Laibin Zhang,et al. Predicting formation lithology from log data by using a neural network , 2008 .
[10] Changjian Zhou,et al. Necessity and feasibility of improving the residual resistance factor of polymer flooding in heavy oil reservoirs , 2010 .
[11] F. F. Farshad,et al. Evaluation of empirically derived PVT properties for Gulf of Mexico crude oils , 1989 .
[12] Etienne Barnard,et al. The estimation of kinematic viscosity of petroleum crude oils and fractions with a neural net , 1993 .
[13] A. M. Elsharkwy,et al. Comparing classical and neural regression techniques in modeling crude oil viscosity , 2001 .
[14] J. Barhen,et al. Oil Reservoir Properties Estimation Using Neutal Networks , 1997 .
[15] S. K. Das,et al. Vapex: An Efficient Process for the Recovery of Heavy Oil and Bitumen , 1998 .
[16] O. A. Falode,et al. PREDICTION OF NIGERIAN CRUDE OIL VISCOSITY USING ARTIFICIAL NEURAL NETWORK , 2009 .
[17] Francisco Navarro,et al. Pressure-temperature-viscosity relationship for heavy petroleum fractions , 2007 .
[18] Carlton Beal,et al. The Viscosity of Air, Water, Natural Gas, Crude Oil and Its Associated Gases at Oil Field Temperatures and Pressures , 1946 .
[19] H. D. Beggs,et al. Correlations for Fluid Physical Property Prediction , 1980 .
[20] Shouchun Wang,et al. Design of artificial neural networks using a genetic algorithm to predict saturates of vacuum gas oil , 2010 .
[21] Mohamed A. Fahim,et al. New correlation for predicting the viscosity of heavy petroleum fractions , 1995 .
[22] K. Movagharnejad,et al. A comparative study between LS-SVM method and semi empirical equations for modeling the solubility of different solutes in supercritical carbon dioxide , 2011 .
[23] Rafa Labedi,et al. Improved correlations for predicting the viscosity of light crudes , 1992 .
[24] John Lohrenz,et al. Calculating Viscosities of Reservoir Fluids From Their Compositions , 1964 .
[25] Adel M. Elsharkawy,et al. Models for predicting the viscosity of Middle East crude oils , 1999 .
[26] Ju-Nam Chew,et al. A Viscosity Correlation for Gas-Saturated Crude Oils , 1959 .
[27] Mohammad R. Riazi,et al. Physical properties of heavy petroleum fractions and crude oils , 1996 .
[28] A. Margaritis,et al. The effects of non-Newtonian fermentation broth viscosity and small bubble segregation on oxygen mass transfer in gas-lift bioreactors: a critical review , 2004 .
[30] Harvey T. Kennedy,et al. A Correlation of the Viscosity of Hydrocarbon Systems With Pressure, Temperature and Composition , 1968 .
[31] Z. Schmidt,et al. Large data bank improves crude physical property correlations , 1994 .
[32] Sohrab Zendehboudi,et al. Prediction of Condensate-to-Gas Ratio for Retrograde Gas Condensate Reservoirs Using Artificial Neural Network with Particle Swarm Optimization , 2012 .