In the last few years, the use of artificial intelligence (AI) and machine learning (ML)
techniques have received considerable notice as trending technologies in the petroleum …

The thick Eocene carbonate deposits that are newly ascribed as Radwany Formation
(previously Thebes Formation) in the October basin within the Gulf of Suez region, are of …

Lithology identification using geophysical log information is vital for log interpretation and
reservoir evaluation. As a result of the highly similar features for log curves that characterize …

A comprehensive assessment of machine learning applications is conducted to identify the
developing trends for Artificial Intelligence (AI) applications in the oil and gas sector …

Lithology identification methods based on conventional logging data are essential in
reservoir geological evaluation. Due to the highly non-linear relationship between lithology …

Predicting permeability (Ke), water saturation (Sw) and effective porosity (EP) of oil and gas
reservoir sections from well log data is necessary task because core data is typically not …

Porosity estimation is one of the essential issues in oil and natural gas industries to evaluate
the reservoir characteristics properly. Therefore, it is imperative to predict porosity with the …

Finding an accurate method for estimating permeability aside from well logs has been a
difficult task for many years. The most commonly used methods targeted towards regression …

Shear wave velocity (Vs) is an important parameter for reservoir description and fluid
identification and is extensively applied in study of oil and gas reservoir geomechanics and …

Porosity and facies are two main properties of rock which control the reservoir quality and
have significant role in petroleum exploration and production. Well and seismic data are the …