This session will explore how MOL's Refining & Marketing division's laboratory and maintenance crew was able to move from locally optimal to globally optimal solutions by using, analyzing and comparing all available data about online process analyzers. They were able to use global solutions because of the integrated platform of real-time information, instead of having different islands of data-collecting platforms. To achieve this, the Process Information group had to find a solution that easily performs these tasks:
integrates information from the plant and laboratory level
has the ability to analyze this data
gives the opportunity to create a common, easily available and usable environment to report the information from this complex system
Also in close cooperation with the related teams, the common analyzing methods had to be implemented based on time-tested ASTM standards, to produce such information that is clear, usable and—most importantly—accepted by all of the end users, from the shift workers to the maintenance team to the laboratory crew. MOL Refining has been using the PI System in its flagship site (Danube Refinery, Hungary) to collect plant process data and Thermo Fischer Scientifics Sample Manager LIMS to collect laboratory data for more than 10 years.Thus, connecting these systems was inevitable.
In the first part of this session, the two related systems and the established connection will be presented. The second part will focus on how new information is created from this data from different sources—how we can validate our process analyzers in real-time, to make their performance as best as possible, thus keeping the process unit's efficiency at a maximum.
In the third part of the session, I will show how the user interface looks and how we utilized PI ProcessBook SQC features to reach our goals.
This session demonstrates how we can turn an information system into business benefits.
Speaker
Robert Zomborski
Robert is a Senior Process Information Engineer at MOL Plc. Hungary, where he develops various applications that monitor refinery assets. He started his career by optimizing boiler farm production at Danube Refinery. In 2009 he graduated as a Chemical Engineer at Budapest University of Technology and Economics. He wrote his thesis work about modeling the steam production of Claus units. Later he moved into a challenging work at the Process Information department, responsible for PI System development. He also played a crucial role in the material-balancing upgrade. Now, he seeks further areas to improve production excellence.