Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide variety of phenomena with applications to many disciplines, ranging from condensed …

Artificial neural networks (ANN) provide a range of powerful new techniques for solving
problems in sensor data analysis, fault detection, process identification, and control and …

This third edition offers a comprehensive overview of the latest theories on flow, transport,
and heat-exchange processes in porous media. It also details sophisticated porous media …

Exact determination of pressure-volume-temperature (PVT) properties of the reservoir oils is
necessary for reservoir calculations, reservoir performance prediction, and the design of …

Abstract Machine learning algorithms have proven useful in the estimation, classification,
and prediction of water quality parameters. Similarly, indexical modeling has enhanced the …

In recent decades, various conventional techniques have been formulated around the world
to evaluate the overall water quality (WQ) at particular locations. In the present study, back …

The grade estimation is a quite important and money/time-consuming stage in a mine
project, which is considered as a challenge for the geologists and mining engineers due to …

The establishment of water quality prediction models is vital for aquatic ecosystems analysis.
The traditional methods of water quality index (WQI) analysis are time-consuming and …

Successful field development relies on effective reservoir management, which, in turn, is, to
a great extent, influenced by the knowledge of reservoir fluid properties and phase …

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 …