HYDROCARBON PUBLISHING COMPANY
Translating Knowledge into Profitability®
A member of the Hydrocarbon Analytics Group
Publication date:1Q 2019
Just Published. Refinery IoT
Global refining industry is challenged with maintaining profitability in the face of oil market volatility, shift in refined product specifications and demand, and evolving regulatory compliance requirements. As a result, refiners have been showing increasing interest in ways to improve plant productivity and efficiency in addition to operating safely and reliably by turning to the latest computer and multi-media technologies such as Industrial Internet of Things (IIoT).
Unfortunately, applications of IIoT in refineries are behind those used by other industries, particularly the upstream sector. Also, the information of downstream applications is rather fragmented, promoted by individual technology developers. Therefore, this new Study is written to present comprehensive views of the latest IIoT developments in refinery applications, look at technology opportunities borrowed from other industry applications, and most importantly, let you stay ahead of the competition.
Benefits of IIoT for refineries:
The Study is organized into six major sections:
The Study examines the latest trends and technologies offerings by ABB, Aspen Technology, AVEVA, Axens, Baker Hughes GE, Bharat Petroleum, Cassantec, Deloitte, DnV GL, Dragos, EFT Analytics, Emerson, Engineers India Ltd., GE Digital, Google, Honeywell Process Solutions, IBM, Infosys, Intertek, Kapersky Lab, Koch Glitsch, Metso, Microsoft, MOL, Neste Engineering Solutions, OSIsoft, Pöyry, Rockwell Automation, Schneider Electric, SEL, Sepmra, SGS, Siemens, TCS, Total SA, Veracity, Wood Group, Yokogawa Electric, and so on.
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Keywords: Industrial Internet of Things, IIoT, digitalization, connectivity, sensor, transmitter, drone, data collection, data storage, cloud, data quality, data platform, analytics, machine learning, platform-as-a-service, IIoT platform, digital ecosystem, cyber-attacks, cybersecurity, SIEM, malware, artificial intelligence, AI