Further model development for prediction of reservoir oil viscosity

Abstract

Viscosity of oil is a crucial parameter in various aspects of oil and gas industry including reservoir simulation, production analysis and equipment design problems. Therefore, proposing simple, robust and universal approaches for estimation of oil viscosity is very important. In the current study a computer-based model namely MLP-NN was designed for estimation of viscosity of dead oil, saturated oil and under saturated oil. A number of 1900 laboratory measured viscosity data of Iranian oilfields associated with wide variations of operational variables were considered to construct the model. The performance accuracy of the method was assessed by considering a number of performance measure statistical variables and results comparison with other available predictive methods. The AAPRE% values of the model for viscosity of dead oil, saturated oil, and under saturated oil were 13.02, 2.45, and 10.55, respectively. The model also provided R2 values of 0.989, 0.9953, and 0.9883 for viscosity of dead oil, saturated oil, and under saturated oil. The outcomes indicated the precision and reliability of the implemented method and its superiority over available predictive methods.