Asset Health Monitoring with Seeq's Entire Arsenal! - Marathon Pipe Line

Kyle Miller, Automation Manager, Marathon Pipe Line

Marathon Pipe Line shows how they used Seeq’s full toolkit to scale asset health monitoring across critical centrifugal pumps, combining efficiency modeling, scaling tables, machine learning, and Vantage workflows to focus experts on the changes that matter most. The session follows how Marathon built pump-specific models, tuned training windows and running conditions, and used efficiency deviation signals to surface a real equipment issue that other tools had missed, allowing the team to inspect the pump under controlled downtime before a more costly failure occurred. Framed around both operational reliability and business value, the approach highlights how a single early detection event was worth roughly a quarter of a million dollars, with an estimated annual impact of about $5 million when expanded across the pump fleet.

Conneqt 2026 – Asset Reliability

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    21:11

    Asset Health Monitoring with Seeq’s Entire Arsenal! – Marathon Pipe Line

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    15:22

    Scaling Predictive Equipment Health Using Vibration & Process Data – Indorama Ventures PLC

Asset Health Monitoring with Seeq's Entire Arsenal! - Marathon Pipe Line

Kyle Miller, Automation Manager, Marathon Pipe Line

Marathon Pipe Line shows how they used Seeq’s full toolkit to scale asset health monitoring across critical centrifugal pumps, combining efficiency modeling, scaling tables, machine learning, and Vantage workflows to focus experts on the changes that matter most. The session follows how Marathon built pump-specific models, tuned training windows and running conditions, and used efficiency deviation signals to surface a real equipment issue that other tools had missed, allowing the team to inspect the pump under controlled downtime before a more costly failure occurred. Framed around both operational reliability and business value, the approach highlights how a single early detection event was worth roughly a quarter of a million dollars, with an estimated annual impact of about $5 million when expanded across the pump fleet.

Marathon Petroleum: Seeq Third-Party Data Sharing

Conneqt 2024

Chris Herrera, Head of API & Interoperability

Seeq Tim Sandford, Refining Pl Coordinator, Marathon Petroleum

Seeq Product

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    17:34

    Marathon Petroleum: Seeq Third-Party Data Sharing

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    19:51

    Extensibility & Add-ons

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    19:17

    Seeq Vantage for Industrial Enterprise Monitoring with Special Guest from UOP

Solvay - PID Health Monitoring

Rohan Tuli, Industrial Digital Transformation Engineer, Solvay

Conneqt 2025 – Processing Monitoring and Control

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    18:14

    Solvay – PID Health Monitoring

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    17:03

    Kaneka North America – Monitoring Fermentation Plant Batch Cycle Real-Time

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    09:33

    Indorama Ventures Scaling Lean Six Sigma Tools Enterprise

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    25:58

    Dominion Energy – Planning for a New Tomorrow – Forecast-Driven Outage Planning

Syensqo - Enhancing Teamwork: Leveraging Dashboards for More Effective Collaboration

Cara Blankenbicker, Industrial Data Scientist, Syensqo

In the complex world of manufacturing, a process cannot be run optimally if people do not have access to relevant information when they need it. Information has historically been shared using a tapestry of solutions to generate dashboards for operators, monthly spreadsheets for stakeholders and ad-hoc analyses for engineers to troubleshoot processes. Today this can be streamlined into a coherent SEEQ dashboard solution, the product of an ongoing collaboration between site and corporate resources.

Conneqt 2025 – Performance Optimization

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    16:40

    Syensqo – Enhancing Teamwork: Leveraging Dashboards for More Effective Collaboration

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    17:08

    Solvay – Condition Based Batch Filter Washes and Renewals

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    13:14

    Rio Tinto – Enhancing Aluminum Cable Coiling Quality with Tangle Probability Indicators

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    16:43

    3M – Visualization of an OEE Seeq Analysis using Power BI

Western Midstream - SWD Injection: Robust Reporting Solutions with Seeq

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.

Conneqt 2025 – Oil & Gas

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    11:07

    Western Midstream – SWD Injection: Robust Reporting Solutions with Seeq

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    21:24

    Tallgrass – Optimizing Turbine Overhaul Scheduling

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    18:48

    Phillips 66 – Identifying Coke Drum Blowouts

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    18:16

    Marathon Pipe Line – Studying Pipe Fatigue – with no Human Fatigue! In Data Lab

Dominion Energy - Planning for a New Tomorrow – Forecast-Driven Outage Planning

Joshua Mellen, Product Manager, Dominion Energy

Bhawuk Luthra, Engineering Consultant, Dominion Energy

Dominion Energy is facing considerable growth across its operating territory – much of it stemming from non-conforming load produced by technology and the EV sector. The need for improved forecasting is becoming a mandatory part of our operations and company decision making in outage planning. In this session, we will discuss strategies and tactics around long-term load forecasts (LTLF) for area, substation and transformer-level forecasting, including the development of an operating framework utilizing Seeq. We will also explore real world case studies on managing and reprioritizing outages, thus enhancing system reliability and operational efficiency.

Marathon Pipe Line - Studying Pipe Fatigue - with no Human Fatigue! In Data Lab

Kyle Miller, Automation Manager, Marathon Pipe line

Marathon Pipe Line leverages Seeq to analyze pipeline pressure cycles, critical for predicting pipeline fatigue and ensuring operational integrity. Using Seeq Data Lab, they automate the process of pressure cycle counting, significantly reducing analysis from multiple days to mere minutes. This approach eliminates dependency on third-party tools, improving data reliability and saving approximately $50,000 annually. By quickly assessing cumulative pipeline damage, they enhance safety and operational efficiency.

Rio Tinto - Enhancing Aluminum Cable Coiling Quality with Tangle Probability Indicators

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.

Powering Uniper's Digital Transformation with Data Analytics

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.