Journal ArticleUnknown
A reliable Internet of Things based architecture for oil and gas industry
Author Affiliations
Jazan University, King Saud University, Bangladesh University of Engineering and Technology, University of Oklahoma
Year2017
Citations115
Abstract
Anomaly detection systems deployed for monitoring in oil and gas industries are mostly WSN based systems or SCADA systems which all suffer from noteworthy limitations. WSN based systems are not homogenous or incompatible systems. They lack coordinated communication and transparency among regions and processes. On the other hand, SCADA systems are expensive, inflexible, not scalable, and provide data with long delay. In this paper, a novel IoT based architecture is proposed for Oil and gas industries to make data collection from connected objects as simple, secure, robust, reliable and quick. Moreover, it is suggested that how this architecture can be applied to any of the three categories of operations, upstream, midstream and downstream. This can be achieved by deploying a…
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Fields & Keywords
Physical SciencesComputer ScienceComputer Networks and CommunicationsIoT and Edge/Fog ComputingAnomaly Detection Techniques and ApplicationsSmart Grid Security and ResilienceDistributed computingComputer securityComputer networkDatabaseOperating systemElectrical engineeringOperations managementVisual artsEnvironmental engineering