Abstract The advent of Artificial Intelligence (AI) in the petroleum industry has seen an
increase in its use in exploration, development, production, reservoir engineering and …

Abstract Nowadays Machine Learning approaches are getting popular in almost all the
domains of Engineering Applications. One such widely used approach is Artificial Neural …

Prediction of reservoir petrophysical properties from well-logs data has evolved from the use
of experts' knowledge and statistics to the use of artificial intelligence (AI) models. Several AI …

With the advances of technology, many new well logs have been acquired over the past
decade that carries vital information about the reservoir and subsurface layers. Thus …

Comprehensive knowledge and analysis of in situ rock strength and geo-mechanical
characteristics of rocks are crucial in hydrocarbon and mineral exploration stage to …

Log-based reservoir characterization is one of the widely used techniques to estimate the
reservoir properties and make decisions about future plans for hydrocarbon production. Use …

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 …

Intelligent predictive methods have the power to reliably estimate water saturation (Sw)
compared to conventional experimental methods commonly performed by petrphysicists …

Water saturation is imperative in the evaluation of hydrocarbon reserves available. However,
it is challenging to accurately determine the water saturation of complex reservoirs using …

The fracture porosity is estimated especially through the log data (density, neutron porosity
and transit time) and the characteristics of the mud (fluid density, transit time of the saturating …