This paper proposes a methodological approach for the decision synthesis in a
geographically distributed intelligent health management system for oil workers working in …

Crude oil leakages and spills (OLS) are some of the problems attributed to pipeline failures
in the oil and gas industry's midstream sector. Consequently, they are monitored via several …

The Internet of Things is growing at a dramatic rate and extending into various application
domains. We have designed, implemented, and evaluated a resilient and decentralized …

In the industrial Internet of Things domain, applications are moving from the Cloud into the
Edge, closer to the devices producing and consuming data. This means that applications …

Vehicles (UAV) can be done by utilizing Deep Learning. Deep Learning can be used to
automatically detect harmed or unauthorized objects near the pipeline for further action by …

There is an increasing drive to provide improved levels of trust within an Internet-of-Things
(IoTs) environments, but the devices and sensors used tend to be limited in their capabilities …

Pipelines have been an important means of oil transport in recent years, especially in Saudi
Arabia. Since oil pipelines have extensive length, tracking them is a critical task. Therefore …

With growing and evolving the Internet, a recent communication paradigm, the Internet of
Things (IoT), has gained many attractions from different researchers and scientific …

This paper summarizes and gives examples of the using of IoT in Industry 4.0, especially in
Oil and Gas Refineries. Industry 4.0 and Industrial Internet of Things (IIoT) technologies are …

Acquisition) systems widely used in the monitoring and management of the oil and gas
industry to the cloud computing environment. There arise various problems in data …