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Validating Production Data and Optimizing Performance with AI, ML, and Advanced Analytics

About the Session

ABOUT THE SESSION

In an industry increasingly driven by data, Ryan Jarvis, CTO at RockNRG, brings his decades of upstream exploration expertise to the forefront with a compelling session on how AI, ML, and advanced analytics are revolutionizing production data validation and performance optimization. 

Drawing from his 21+ years of experience in geoscience and digital transformation—including leadership roles at ExxonMobil—Ryan will explore the challenges posed by massive volumes of complex sensor data, and the pressing need for real-time accuracy and reliability. He’ll also highlight the importance of adopting standards for trusted data, which are vital for ensuring confidence, integration, and interoperability in cloud-based systems. 

The session will feature a real-world case study on real-time production data verification, showcasing how advanced technologies enable smarter, faster business decisions that directly impact performance and efficiency across operations. 

Key Topics

01 Tackling the complexity and volume of real-time sensor data
02 Boosting data confidence through standards for trusted information
03 Case study: Real-time production data verification using AI/ML
04 How advanced analytics drives better decision-making in upstream energy

For more on this conference or to access the session, reach out to us at info@ptnevents.com.

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