Using real-time data to provide insight and actionable info to improve reliability and efficiency.

Summary

Alexander Dixon's presentation explores the use of real-time data to enhance operational efficiency and reliability in industries like oil and gas. Dixon, a seasoned expert in real-time data solutions, discusses how analytics can transform data into actionable insights, preventing downtime and improving decision-making. He illustrates the application of dynamic operating envelopes and paired signal analytics to detect abnormalities early, thereby extending the response time for maintenance and avoiding costly unplanned shutdowns.

Takeaways

• 👋 Introduction: Alexander Dixon, with 16 years of experience, leads a team of real-time engineers at an oil and gas major, focusing on digital operations and data transformation.
• 🛠️ Expertise: Dixon's team specializes in creating real-time data solutions, often for clients with undefined problems in sectors like oil and gas, power, infrastructure, and food and beverage.
• 🔍 Problem Solving: The team addresses vague issues by using innovative approaches to transform broad problems into specific, actionable solutions.
• 📈 Analytics: The presentation emphasizes the use of analytics to increase efficiency and reliability, focusing on how data can be transformed into insightful information.
• 📊 Data Sources: Real-time data is gathered from various sources, including physical measurements and status indicators, to be used in analytics for better decision-making.
• 💡 Innovation: ITI's solutions are seen as part of a long-term journey, where they help clients identify and solve problems they might not even realize they have.
• 👀 User Experience: The importance of presenting data effectively through user interfaces is highlighted, to ensure that engineers can make quick and informed decisions.
• 🚫 Operational Technology (OT): OT systems, which include physical plant sensors and controllers, are traditionally isolated but are now more aligned with Information Technology (IT) systems.
• 🔑 Key Terms: The script introduces terms like 'dynamic operating envelope' and 'paired signals' as methods for early detection of abnormalities in equipment performance.
• 🛑 Prevention: By using analytics to detect deviations early, companies can prevent unplanned outages and trips, saving significant resources and revenue.
• 🏆 Success Stories: The script shares examples where the application of real-time data and analytics led to millions of dollars in savings by avoiding process trips and shutdowns.

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