Content area
Full text
September 19, 2019
The Houstonian | Houston, Texas
FINALISTS
Hydrocarbon Processing, the downstream processing sector's leading technical publication, has announced the finalists for its third annual awards. The HP Awards celebrate innovative technologies and people that have been instrumental in improving facility operations over the past year. The awards cover 17 strategic categories in the hydrocarbon processing industry. Nearly 100 nominations were submitted from more than 20 countries. Each abstract was voted on by an independent Hydrocarbon Processing advisory board. The following is a complete list of all finalists in each category. The winners in each category will be announced during a black-tie gala at the Houstonian Hotel in Houston, Texas on September 19. Hydrocarbon Processing would like to congratulate all nominees on this prestigious honor.
BEST AR/VR/AI TECHNOLOGY
CHEMTECH AI, AI Operator
By using historical data of the processing unit, AI Operator delivers real-time recommendations and makes fully automated decisions to improve unit capacity, product yield and quality, as well as decreasing energy consumption and product losses.
DYNAMICS SCIENTIFIC PRODUCTION CENTER USA, COMPACS System
The COMPACS system provides an objective real-time monitoring of each machine of an entire process unit. Artificial intelligence generates real-time prescriptions and predictive analytics that identify future malfunctions and defects. This analysis can dramatically reduce accidents and fires, increase uptime of process units and provide reasonable maintenance costs.
IMAGINATE SOFTWARE LABS PVT. LTD., NuSpace
Through AR-powered smart glasses, NuSpace enables field operators to view complete information required for maintenance, repair and overhaul activities. The smart glasses allow personnel to work in the field hands free, while communicating securely with experts for live support.
BEST ASSET MONITORING TECHNOLOGY
ASPENTECH, MTell®
Aspen Mtell® delivers the earliest, most accurate warning of equipment failures and prescribes detailed actions to mitigate or solve problems. Using machine learning, Aspen Mtell can recognize precise patterns in operating data that indicate degradation and impending failure-well before it happens.
DIAKONT, Stingray Online Tank Inspection System
Diakont provides comprehensive storage tank floor inspection series using Stingray, a robotic crawler, which is safely deployed into aboveground storage tanks while they remain filled and operational. Using a combination of non-destructive examination sensors housed within an explosion-proof enclosure, Stingray inspection systems supply complete inspection coverage and allows operators to prioritize tanks for turnarounds...