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 …

Through this work, a novel mathematical-based approach was proposed to develop reliable
models for calculation of PVT properties of crude oils at various reservoir conditions. For this …

Dead oil viscosity is a critical parameter to solve numerous reservoir engineering problems
and one of the most unreliable properties to predict with classical black oil correlations …

This comprehensive book highlights soft computing and geostatistics applications in
hydrocarbon exploration and production, combining practical and theoretical aspects. It …

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 …

This study presents a universal neural-network-based model for the prediction of PVT
properties of crude oil samples obtained from all over the world. The data, on which the …

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 …