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Worldwide Refinery Processing Review (Quarterly Issues)
SULFUR PLANT AND REFINERY IOT
Publication date:1Q 2019
Item#: B21901
Sulfur Plant and Refinery IoT
Sulfur Plant
Continued sulfur plant technology developments have focused on improving the energy efficiency of the acid gas removal unit, Claus unit, and tailgas treatment unit in order to lower operating costs as sulfur removal is done at a cost to the refiner and offers little back in terms of value, so minimizing costs is necessary to improve margins. Additionally, the utilization of Claus plants that can recover sulfur while mitigating the effects of high levels of ammonia and BTX was also discussed as deeper levels of HDS needed to meet more stringent gasoline sulfur requirements tend to increase ammonia production. Also, the use of separate processing units to process sour water stripper gas to free existing Claus capacity has been commercialized. Finally, processes that can produce sulfuric acid from recovered sulfur may become more popular due to the expected sulfur glut that will occur over the coming years as an uptick in high-quality gasoline demand growth has fueled growth for alkylate. The sulfur plant section also features the latest trends and technology offerings, including:
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.
Pricing Information
Individual Use | Multiple Users/Library/Site license | |||
Subscription Type | Electronic version | Print version | Others | Contact for pricing Info@Hydrocarbonpublishing.com +1-610-408-0117 |
Pricing (US $) | $5,500 | |||
The Review is sold for the exclusive use of the subscriber. No other use, duplication, or publication of the Review or any part contained therein is permitted without written consent from Hydrocarbon Publishing Company, P.O. Box 815, Paoli PA 19301-0815 (USA).
Keywords: SRU, acid gas removal, AGR, Claus unit, tailgas treating, TGT, SOX, desulfurization, CO2, COS, clean fuels specification, H2S, ultra-low sulfur, ULSD, ULSG, clean fuels, elemental sulfur, direct oxidation, amine scrubbing, amine solvent, advanced process control, acid gas corrosion, foaming, amine loss, fuel gas sweetening, ammonia destruction, BTX destruction, sour crude, sub dew-point Claus, oxygen-enriched Claus, sulfur degasification, sulfur finishing, sulfur granulation, analyzers, instrumentation, sour water stripper gas, 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,