AI-driven Optimization in Real-Time Across Oil and Gas Operations

 
In this session, Linnea Russell and Greg Fallon will explore the transformative power of AI-driven optimization in real-time across oil and gas operations. They will emphasize the necessity of real-time predictability in optimizing complex production and process systems. The duo will present groundbreaking advancements in Physics-informed AI (PiAI), a model-building technology that merges physics-based simulation with process data, enabling models to be created in hours rather than months. This new AI-driven approach empowers operators to instantly enhance profitability and reduce carbon footprints. They will also highlight the flexibility and portability of PiAI, demonstrating its broad applicability across various use cases, including those with sparse data sets. 

• Real-time Predictability: Optimizing complex production and process systems requires predictability in real-time. 
• Physics-informed AI (PiAI): A breakthrough AI model builder that merges physics-based simulation with process data, enabling models to be built in hours instead of months. 
• Advisory Control: This capability allows operators to improve profitability and reduce carbon footprints in real-time. 
• Flexibility and Portability: The PiAI approach is versatile, applying to a wide range of use cases, even with sparse data sets.