Conventional fossil fuels are depleting daily due to the growing human population. Previous
research has proved that renewable energy sources, especially solar and wind, can be …

This study offered a detailed review of data sciences and machine learning (ML) roles in
different petroleum engineering and geosciences segments such as petroleum exploration …

Nowadays, nanofluids are broadly utilized for various engineering and industrial systems
including heat exchangers, power plants, air-conditioning, etc. The helically coiled tube heat …

The oil production from any well passes through three stages. The first stage is the natural
extraction of oil under the well pressure, the second stage starts when the well pressure …

Abstract Machine learning has proven to be technically flexible in recent years, which allows
it to be successfully implemented in problems in various areas of knowledge. Carbon …

As a supply for future fuel and energy demand, 95% of the bitumen deposits in North
America are expected to become a major source. The Steam Assisted Gravity Drainage …

Interfacial tension (IFT) as one of the main properties for efficient CO2 flooding planning in
oil reservoirs depends strongly on pressure, temperature, and composition of the reservoir …

Blasting is well-known as an effective method for fragmenting or moving rock in open-pit
mines. To evaluate the quality of blasting, the size of rock distribution is used as a critical …

Gas condensate reservoirs display unique phase behavior and are highly sensitive to
reservoir pressure changes. This makes it difficult to determine their PVT characteristics …

Ionic liquids (ILs) are widely under research and being more and more used in many
industrial fields due to their unique properties. The knowledge of physicochemical properties …