The process industries face many pressures, such as meeting production targets, minimizing costs, and maximizing product quality. In addition, manufacturers must adhere to increasing governmental safety and environmental compliance regulations. A data-driven strategy is needed to enable operations, maintenance, and business personnel to quickly and easily take corrective action when abnormal conditions occur. A Digital Plant Template transforms data into operational insights in real-time. It uncovers the hidden, idle and downtime losses. By measuring, managing these unproductive times, people find new ways of avoiding them improving the profitability of the plant. The information created by the real time analytics is visualized and analyzed using PI Vision, PowerBI and ML Tools. The creation of new workflows and collaboration at the plant, at the enterprise and via services providers are enabled.
Speaker
Osvaldo Bascur
Osvaldo A. Bascur received his B.S. Chemical Engineering and B.S. Metallurgical Engineering from the University of Concepcion, Chile and a Ph.D. in Metallurgical Engineering from the University of Utah, Salta Lake City. He was Process Control Engineer working for Duval Corporation, Tucson, AZ (now Freeport McMoRan). He was transferred to Pennzoil Company in Houston, TX (now Shell) where we worked as a Staff Engineer, in the process-engineering department. He is currently a Principal at OSIsoft, LLC in Houston, TX. Osvaldo has been with OSIsoft for more than 25 years. He received the SME 2013 Antoine Gaudin Award. He believes data in a strategic assets that requires special attending in the Digital Age. His current focus is the integration of sensors data for operating intelligence, artificial intelligence, asset and energy optimization. His work includes consulting for process industries, preparing academic lectures in process analysis and predictive analytics. Dr. Bascur is a member of the SME, AIST, AIChE and IFAC MMM.