Albert Swalha, Staff OSI PI Engineer, Western Midstream

Western Midstream significantly streamlined regulatory reporting of Saltwater Disposal (SWD) wells by implementing a robust analytics solution using Seeq. Previously, regulatory reporting involved extensive manual Excel workbook preparations, which were labor-intensive and error-prone, consuming nearly 24 hours monthly. Using Seeq’s combined applications—Workbench, Data Lab, and Organizer—they automated data cleansing, analysis, and report generation, reducing monthly effort to only 1-2 hours. This scalable solution improves data accuracy, proactively highlights operational exceptions, and significantly reduces administrative burden, enabling analysts to focus on more strategic tasks.

Kyle Miller, Innovation Manager, Marathon Pipe Line

Tim Sandford, Refining PI Coordinator, Marathon Petroleum

Serge Ibarra, Environmental Engineer, Marathon Petroleum

Todd Dixon, Refining Services Senior Director, Marathon Petroleum

A quartet of Seeq champions across Marathon Petroleum and Marathon Pipe Line share how they are maximizing the value of Seeq across the business by pushing adoption and enhanced use cases.

Don Morrison, Real Time Data Architect, Devon Energy

Justin Milton, Data Scientist, Devon Energy

Discover how a strong strategic partnership with Seeq led to the successful scaling of advanced use cases across thousands of assets. This presentation reveals how aligning on a shared success plan drove real results, with practical insights for teams looking to achieve impactful, scalable analytics.

Mikayla McAweeney, Manufacturing Excellence Process Engineer, CMC

CMC enhances the metal recycling process at our scrap yards by using wire choppers to process wires and cables that encase nonferrous metals like copper and aluminum. Although these metals cannot be used in CMC’s steel production, CMC remains committed to building a more sustainable world. The wire chopper removes and chops the nonferrous metal rods into smaller, manageable sizes, which are then sorted by metal type and sold for repurposing. Seeq’s trending capabilities allow CMC to monitor wire chopper currents (amps), identify excessive feeding periods, and detect wear on the chopper blades. Combining these trends and analysis with Seeq’s powerful interactive reporting tool provides CMC with easily accessible data and valuable insights, improving recycling and machine maintenance at CMC Recycling Lexington.

Josée Colbert, 4.0 Casting Specialist, Rio Tinto

This study focuses on improving aluminum cable coiling by developing a real-time detection method using process signals. A high-level indicator was created to monitor coiler performance and correlate with tangle rates, enabling proactive quality control. This approach enhances process understanding, supports data-driven decision ­making, and demonstrates the value of advanced analytics in improving manufacturing efficiency.

Mike Fialkowski, Data Analytics Specialist, 3M

This presentation demonstrates a method for computing OEE (Overall Equipment Effectiveness) on a facility asset using Seeq. To make full use of that information for non-users of Seeq, exporting the data to external visualization tools, such as PowerBI, will be discussed.

Sherri Goodwin, Data Science Engineer, Indorama Ventures

Outlining Indorama’s structured approach to maximizing data science impact with limited resources. Through a phased deployment of data scientists (Alpha and Beta Release Candidates) and initiatives like the SeeqAThon, we drive rapid value delivery, collaboration, and solution adoption. We highlight key strategies, including asset scaling, linear programming, Generative AI integration, and enhanced Seeq functionalities with Lean Six Sigma add-on tools. A case study will showcase how these methods translate into real-world efficiency and innovation.

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.