This study explores the feasibility of utilizing bedded salt deposits as sites for underground
hydrogen storage. We introduce an innovative artificial intelligence framework that applies …

Mudstone reservoirs demand accurate information about subsurface lithofacies for field
development and production. Normally, quantitative lithofacies modeling is performed using …

Background Prediction of accurate crude oil viscosity when pressure volume temperature
(PVT) experimental results are not readily available has been a major challenge to the …

Recognizing mud rock lithofacies is essential for mapping the subsurface depositional
environments and identifying oil and gas-bearing rock formations. Conventional well logs …

The classification of the hydrocarbon reserve is a significant challenge for both oil and gas
producing firms. The factor of reservoir recovery contributes to the proven reservoir growth …

Featured Application This work offers a groundbreaking application in real-time lithofacies
identification through core drilling data. By transforming drilling parameters into an image …

Production of oil & gas depends upon the recoverable amount of hydrocarbon existing
beneath the underlying reservoir. Reservoir recovery factor provides of the production …

Well logging can be classified under the general category of big data, as the datasets are
intricate for conventional data processing application software to handle. This study aims at …

Currently, the rapid development of the industrial Internet has led to the creation of a
massive number of intelligent agents that are widely and distributively applied in various …

Vehicle communication is one of the most vital aspects of modern transportation systems
because it enables real-time data transmission between vehicles and infrastructure to …