Dr. Nethika Suraweera PhD, Senior AI/Data Scientist, Nutrien

Adeyinka Opadeyi, Ammonia Process SME, Nutrien

Nutrien’s Real Time Operation Center (NROC) oversees operational efficiency of 10 Nitrogen Production Sites. NROC has utilized rapid data navigation and modeling during both the data exploration and analysis phases, enabling timely detection of failures and proactive interventions. We will review a few use cases illustrating the transformative impact of data monitoring and analytics in Nitrogen production, demonstrating how we leverage Seeq to ensure operational excellence.

Fabian Schlieck, Performance Engineer, Uniper

The German power industry is experiencing significant changes and challenges, with a focus on ensuring a reliable energy supply. Uniper is leveraging data science, particularly using Seeq, to enhance the reliability and efficiency of its operations. Seeq enables rapid, in-depth analysis of operational data to identify and address incidents like boiler tube leaks, compare actual performance against predictions, and make adjustments as necessary. It also aids in analyzing the performance impact of hardware changes and utilizes weather forecasts to predict future asset performance. This approach improves operational decision-making and supports Uniper’s digital transformation and the strategic management of its power generation assets.

Chris Orr, Product Manager, Seeq

Louis Lattanzio, Digital Innovation and Implementation Leader, UOP

Hao Zhou, Process Control Engineer, Parkland Refining

At Parkland, we have improved supply chain reliability for our sulfuric acid deliveries using Seeq, which averted a costly $1MM/year shutdown in our Alkylation unit. To empower our vendors to play a more proactive role in managing delivery schedules, an automated email report on tank level forecasts was developed in Seeq Data Lab (SDL) to improve cross-company communications and simplify data sharing with multiple vendors. Tank level forecasts are automatically generated every shift in real-time, and stakeholders are alerted with customized content and figures using our fit for purpose alerts developed in SDL

Nicholas Galizia, Sr. Engineer and Matthew Whiteman, Technical Architect, Equitrans Midstream

Accurate measurement and reporting of methane emissions from natural gas compressor operations is a critical function. Learn how Equitrans Midstream shifted automated compressor blowdown calculations using Seeq. These calculations utilize Seeq’s formula functions and asset capabilities (including PI-AF) to scale calculations across the fleet of ~200 compressors. The results are then written back to PI for standard reporting and to utilize event frame notifications. This methodology has enabled streamlined reporting and rapid validation of process improvements.

Speaker: Steve Brehmer, Principal Engineer, DTE