Evaluation of empirically derived PVT properties for Nigerian crude oils

This study presents an evaluation and tuning/recalculation of coefficients (using regression analysis) of some PVT correlations to estimating bubblepoint pressure (Pb), Solution gas-oil ratio (GOR), oil formation volume factor at bubblepoint (FVF), gas-saturated oil and dead-oil viscosity against a set of PVT data collected from different locations in Nigeria.; Neural network models are also developed for all five PVT parameters.; Statistical and graphical tools have been used to compare the performance of the correlations. Best correlation has been identified for each PVT parameter. Correlations performance was also compared with neural network models.; The results of this study show that higher accuracy was obtained when correlations are tuned to the regional data; that present practice in Nigeria of using only Standing and Vasquez & Beggs correlations for Pb, Rs and Bob estimation is not the optimum. Also, Neural Network models' predictions are better for all PVT properties studied.