Oil and gas industries are facing several challenges and issues in data processing and
handling. Large amount of data bank is generated with various techniques and processes …

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 …

Artificial intelligence has been back on the stage of research works in all the walks in
recently years, the sharply increase of AI-based work have shown its potential to be a future …

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 …

Oil/gas exploration, drilling, production, and reservoir management are challenging these
days since most oil and gas conventional sources are already discovered and have been …

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 …

Petrophysics is a pivotal discipline that bridges engineering and geosciences for reservoir
characterization and development. New sensor technologies have enabled real-time …

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 …

Abstract Machine learning provides a powerful alternative data-driven approach to
accomplish many petrophysical tasks from subsurface data. It can assimilate information …

Okra (Hibiscus esculents) is widely used as a thickener and viscosifier in medical and food
industries due to its low cost, availability, longer shelf life, and high thermal tolerance. It is …