Prabhu Ramachandran, Sr. Manager Digital Transformation, Kaneka

Chiru Botre, Process Data Scientist Digital Transformation, Kaneka

Kaneka will highlight how data analytics tools were used to analyze batch cycle times, reactor phases and grades. They used the tools to provide enhanced data visualization enabling real time actions and uncovering key insights to streamline real-time reporting. This resulted in an overall reduction of reactor batch cycle times.

Kyle Miller, Automation Manager, Marathon Oil

At Marathon Pipe Line (MPL), we used Seeq to develop a custom line shutdown condition loaded with calculations to describe the nature of the event (with pressure and temperature variables) that applies to every segment of interest in our operating areas. It replaced an older tool that was cumbersome to use and limited in scope, as well as the practice of combing through old shift reports and reading descriptions of events. On-call specialists have been trained to use and interpret this tool, as well as apply it to new segments when necessary.

Tayyab Tahir, Asset Optimization Engineer, TC Energy

In this session, TC Energy will present their journey to operationalizing Seeq, emphasizing people, process and technology. TC Energy rapidly found value in the analysis Seeq can provide. TC Energy is working to incorporate these insights with other tools and processes to go from data, to value generating actions in the field. Learn how insights from Seeq are integrated into daily operations monitoring as well as long term equipment lifecycle and reliability planning.

Speaker: Brad Keigwin, Data Scientist, Bristol Myers Squibb

Speakers: Siang Lim, Data Scientist, Parkland Refinery

Sarah Mahmoud, Process Engineer, Parkland Refinery

Christopher Harp, Process Engineer, Chevron Oronite

For a fully utilized batch reactor line, any improvement we can make in batch cycle time results in more product available to sell and, thus, increased profit. One of the rate-limiting steps in the batch process is a distillation, governed by complex first-principles calculations and physical property data. In this presentation, I’ll explain how we were able to leverage the IF97 Water and Steam Properties functionality in Seeq Workbench to shave 60 minutes off the distillation step, a ~12% reduction in batch cycle time.

Suradech Kongkiatpaiboon, Process Engineer, Chevron Thailand

Learn how Chevron’s Thailand business is digitally transforming and getting the most out of their data using digital tools. This session will focus on how Seeq creates business value through user customization, adaptability, operationalizing SMEs expertise workflows and ability to focus on business problems. Use cases on anomaly detection, root cause analysis, condensate production optimization, quality modeling and cross site optimization will be showcased.

Trevor Andrews, Operations Engineer, NITROcrete

As NITROcrete’s operations grew, our home-grown IoT system became difficult to use. Seeq became pervasively present with a hands-off approach and focused on the needs of the primary end users. It is used to view site data to manage operations, communicate with the customer, troubleshoot issues, planning and scheduling, and even accounting. It is now the enabling platform to run NITROcrete’s business.

Jessica Sigurdson, Global Process Engineering Lead, Pfizer | Alex Miller, Digital Infrastructure Lead, Pfizer

At Pfizer, Seeq has allowed a new view on our continuous manufacturing data by turning data into insights. Through connection to the process historians and other data sources, Seeq has helped Pfizer change the way we monitor and analyze a batch. With Seeq, Process Engineers have deployed real time analytics for modeling, profiles to understand and alert operators to new behaviors and a single interface to analyze data across sites. This presentation will review how Seeq was deployed to assist in bringing a new technology online, as well as current implementation plans and future cases.