Seeqing Abnormal Pipeline Shutdowns

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.

Conneqt 2024 – Oil & Gas

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  • 1

    16:23

    Seeqing Abnormal Pipeline Shutdowns

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    11:40

    Reducing Emissions through Gas Turbine Optimization

  • 3

    16:37

    Proactive Alerts Preventing Alkylation Plant Shutdowns

  • 4

    19:59

    Amplifying Timeseries Analytics: The Synergy of Seeq and Databricks

  • 5

    19:21

    Advanced Asset Monitoring

Eli Lilly and Company- Adoption and Deployment Strategy for Rollout of Seeq at Eli Lilly and Company

Speaker: Wilfred Mascarenhas, Sr. Director for Data and Analytics – Eli Lilly & Company

Conneqt 2023 – Pharmaceuticals

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    19:10

    Eli Lilly and Company- Adoption and Deployment Strategy for Rollout of Seeq at Eli Lilly and Company

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    20:58

    Genentech, Mettler Toledo – Data Analysis for an Online Water Bioburden Analyzer

  • 3

    23:31

    Bristol Myers Squibb – Cell Culture Offline Sample Monitoring

Using Seeq and PI to measure and reduce Compressor Blowdowns

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.

Conneqt 2023 – Oil & Gas

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    22:51

    Using Seeq and PI to measure and reduce Compressor Blowdowns

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    17:38

    Upstream Condensate Production Optimization

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    14:12

    TC Energy – Operationalizing Seeq at TC Energy

  • 4

    20:32

    Empowering Business Partners with Seeq – Marathon Petroleum and Crystaphase

Analysis of Advanced Process Control for Grinding

Johannes Sikström, Senior Development Engineer, Boliden

The most energy-intensive step in a mineral concentration plant is grinding, in some cases 40% – 50% of the total site consumption. Optimizing the grinding operations has the most impact in power consumption and mill throughput. Seeq was used to perform analysis of the mill power utilization in Boliden Garpenberg to identify the potential and then the performance of a new advanced process control system. The results of the assessment and early evaluation will be presented here.

Conneqt 2023 – Materials & Power

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    21:11

    Analysis of Advanced Process Control for Grinding

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    25:22

    Advanced Analytics for Power Generation

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    20:50

    NITROcrete – “Hands-Off” Approach for Using Seeq to Manage its Business

  • 4

    32:25

    Ontario Power Generation- How Seeq Enables OPG’s M&D Centre

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    16:05

    Birla Carbon – Collaboration & Accelerated Insight to Create Value

Ascend Performance Materials - Why We Use Seeq in Anomaly Detection at Ascend

Yele Soyombo, Data Science Manager, Ascend Performance Materials | Ezgi Gumusbas, Data Scientist,  Ascend Performance Materials

Ascend’s AI/ML team prioritizes anomaly detection use cases performed at scale, which presented problems for historically used traditional modeling and deep learning models. Seeq provided the flexibility to scale the same built-in anomaly detection model, while making minor tweaks to tailor to the asset or data available. In this presentation, we’ll share how we’re using Seeq ML to do anomaly detection, at scale, and present the results to engineering teams in Seeq’s friendly user interface.

Conneqt 2023 – Chemicals

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  • 1

    18:09

    Ascend Performance Materials – Why We Use Seeq in Anomaly Detection at Ascend

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    20:57

    Seeq Deployment at Scale – Cargill

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    17:14

    Chemours – Seeq Deployment at Chemours

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    17:03

    Honeywell UOP – A Sustainable Future with Seeq

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    15:35

    Multi-Product Best Run Rate

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    15:05

    Leveraging IF97 Property Data to Optimize Batch Cycle Time

Eli Lilly and Company- Adoption and Deployment Strategy for Rollout of Seeq at Eli Lilly and Company

Speaker: Wilfred Mascarenhas, Sr. Director for Data and Analytics – Eli Lilly & Company

Conneqt 2022 – Pharmaceuticals

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  • 1

    19:10

    Eli Lilly and Company- Adoption and Deployment Strategy for Rollout of Seeq at Eli Lilly and Company

  • 2

    20:58

    Genentech, Mettler Toledo – Data Analysis for an Online Water Bioburden Analyzer

  • 3

    23:31

    Bristol Myers Squibb – Cell Culture Offline Sample Monitoring

Devon Energy - Using Seeq at Scale for Data & Analytics Integration

Speaker: Don Morrison, Real Time Systems Architect, Devon Energy

Conneqt 2022 – Oil & Gas

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  • 1

    15:52

    Devon Energy – Using Seeq at Scale for Data & Analytics Integration

  • 2

    21:09

    Parkland Refinery – Self Service Analytics for Processing of Hydrocarbons

  • 3

    13:20

    Western Midstream – Pinpointing Pressure Drop Issues in Gas Plants