HP Awards Best Process Controls/Automation Technology Winner
Best Process Controls/Automation Technology Finalists:
ADVISIAN DIGITAL, Catalyst Removal Amphirol (CAROL)
Advisian Digital, part of the Worley Group, has developed an innovative technology for robotic catalyst removal from refineries and LNG vessels using a remote-operated, screw-propelled vehicle. CAROL helps reduce human risk and turnaround durations. The technology has successfully completed several catalyst removal projects in varying environments, reducing the need to put personnel in harm’s way.
ASPENTECH, General Dynamic Optimization Technology (GDOT™)
GDOT™ software aligns advanced process control with planning and scheduling, enabling unified production optimization for refineries and petrochemical plants. The technology captures economic incentives across multiple units to increase production, reduce quality variability and lower energy consumption. These benefits enable producers to improve safety, reliability and profitability.
HONEYWELL PROCESS SOLUTIONS, Experion® Local Control Network (LCN)
Experion® LCN modernizes the control system infrastructure and enables the Industrial Internet of Things. This strategy maintains safe and reliable controls. With Experion® LCN, existing control strategy, field terminations, applications, history and graphics can be retained, allowing users to focus on high-value improvements. It minimizes operating disruptions, maintains overall consistency and delivers optional lifecycle advantages with virtualization.
IMPLICO GROUP, OpenTAS® Terminal Management System (TMS)
OpenTAS® TMS equips tank farm operators with all the tools needed to manage their plant in an efficient, transparent and safe manner. It drives, optimizes and automates the full range of logistic and administrative processes in tank farms. The system contains the widest range of functions and the tightest ERP/SAP integration on the market. Its centerpiece is an easy-to-use graphic user interface called Navigator, which steers all logistics operations in a tank farm and enables users to make a significant leap towards IoT-driven process management.
SCHLUMBERGER, Process IQ
Process IQ, which utilizes an advanced machine learning algorithm, is deployed as a software as a service solution to improve the performance of a company’s surface facility equipment. A core aspect of the technology’s portfolio is performance prediction of acid gas membrane systems. The machine learning algorithm uses calculations to predict future selectivity and the remaining useful life of the membrane. The software’s continuous predictive monitoring capabilities actively identify critical events that deteriorate acid gas membrane performance and predict changes in the selectivity.
WINNER: Catalyst Removal Amphirol (CAROL), Advisian Digital
Nominations are now being accepted for the 2020 HP Awards! Honor your company's contribution at the 2020 awards by submitting a nomination [HERE]
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