In recent years, Machine Learning (ML) has become a buzzword in the petroleum industry,
with numerous applications which guide engineers in better decision making. The most …

CO 2 injection for enhanced oil recovery (CO 2-EOR) is one of the industry's most widely
applied techniques for CO 2 utilization. People use the compositional simulation technique …

This research illustrates the utilization of a new model based on artificial neural networks
(ANNs) in prediction of compressibility factor (z-factor) of natural gases using experimental …

There are technical problems related to storage and transport of biogas gas that should be
addressed before practical injection of these fuels into the existing natural gas networks. In …

Compressibility factor (z-factor) values of natural gasses are essential in most petroleum and
chemical engineering calculations. The most common sources of z-factor values are …

The flash calculation with large capillary pressure often turns out to be time-consuming and
unstable. Consequently, the compositional simulation of unconventional oil/gas reservoirs …

The natural gas compressibility factor indicates the compression and expansion
characteristics of natural gas under different conditions. In this study, a simple second-order …

Gas compressibility factor is necessary in most of chemical and petroleum engineering
calculations. Accurate and fast calculation of this property is of a vital importance in a large …

The compressibility factor (Z-factor) is considered as a very important parameter in the
petroleum industry because of its broad applications in PVT characteristics. In this study, a …

The use of the Hankinson–Thomas–Phillips correlation for prediction of the natural gas
compressibility factor is a common practice in natural gas engineering calculations …