Evaluates A PVT Correlation to Estimate Dead Oil Viscosity for Libyan Crudes Using 104 Samples from Different Reservoirs
Abstract
Viscosity is defined as the resistance of the fluid to flow. It plays a very significant role in most oil and gas engineering applications, including production stages and reservoir simulation. In general, the dead oil viscosity is used in most applications. This study evaluates a PVT correlation to estimate dead oil viscosity for Libyan crudes using 104 samples from different reservoirs. A new mathematical and artificial neural network (ANN) dead oil viscosity correlations were developed for Libyan crudes and compared with renowned dead oil viscosity correlations. The evaluation in this study has been done by statistical and graphical error analysis. An ANN model has been proven to be a useful tool for predicting where the ANN model has given the best result with low error AAD was 14.40509 % and