This paper evaluates published correlations and neural-network models for bubblepoint
pressure (pb) and oil formation volume factor (B o) for their accuracy and flexibility in …

Reservoir fluid properties are very important in reservoir engineering computations such as
material balance calculations, well test analysis, reserve estimates, and numerical reservoir …

PVT properties are very important in the reservoir engineering computations. There are
numerous approaches for predicting various PVT properties, namely, empirical correlations …

Abstract Pressure-Volume-Temperature (PVT) crude oil properties play a significant role in
reservoir evaluation and field planning. PVT properties are usually determined through …

Reservoir fluid properties data are very important in reservoir engineering computations
such as material balance calculations, well testing, reserve estimates, and numerical …

This paper evaluates published correlations and neural network models for bubble point
pressure and oil formation volume factor for accuracy and flexibility to represent …

PVT properties are very important in the reservoir engineering computations. There are
many empirical approaches for predicting various PVT properties using regression models …

Accurate prediction of the PVT properties of reservoir oil is of primary importance for
improved oilfield development strategies. Experimental determination of these properties is …

Reservoir fluid properties such as bubble point pressure, oil formation volume factor and
viscosity are very important in reservoir and petroleum production engineering computations …

To determine the bubble point oil formation volume factor (B ob), which is one of the most
important PVT properties, several correlations have been proposed for different regions …