Session
Low-Emission Oil & Gas: Engineering the Balance Between Clean and Reliable
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Artificial Intelligence |
Industry | Energy and Utilities |
Technologies | AI/BI, Unity Catalog |
Skill Level | Intermediate |
Duration | 40 min |
Join three energy industry leaders as they showcase groundbreaking applications of AI and data solutions in modern oil and gas operations. NOV demonstrates how their Generative AI pipeline revolutionized drilling mud report processing, automating the analysis of 300 reports daily with near-perfect accuracy and real-time analytics capabilities. ExxonMobil reveals their machine learning breakthrough in gas lift optimization, achieving over 5% production uplift across 200+ wells through innovative time series forecasting and Bayesian optimization. BP completes the session by sharing how Unity Catalog has transformed their enterprise-wide data strategy, breaking down silos while maintaining robust governance and security. Together, these case studies illustrate how AI and advanced analytics are enabling cleaner, more efficient energy operations while maintaining the reliability demanded by today's market.
Session Speakers
Jay Yoon
/Manager of Data Science and Applied AI
NOV
IMAGE COMING SOON
Krishanu Roy
/bp
Ali Marzban
/Director of Data Science and Analytics
NOV