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Connecting Seismic, Wells and Decisions: A Digital Roadmap for Subsurface Optimization

About the Session

Dr. Jagadish Maddiboyina, North America Oil & Gas Consulting Lead at Cognizant Technology Solutions US, brings expertise in applying digital technologies, data, and AI to improve decision-making across oil and gas operations.

In his session, “Connecting Seismic, Wells and Decisions: A Digital Roadmap for Subsurface Optimization,” he explores how oilfield AI initiatives can move from isolated algorithms to measurable business outcomes. The session presents a five-stage roadmap spanning description, diagnosis, prediction, prescription, and self-optimization, while connecting seismic and well data into a continuous learning loop for improved drilling decisions. It also examines machine learning for seismic interpretation, automated data quality checks, missing well-log prediction, and the progressive adoption of AI as operational trust develops.

Key Topics

01 Starting with the business decision rather than the algorithm
02 Five-stage roadmap from description to self-optimization
03 Connecting seismic and well data through continuous learning
04 Machine learning for seismic interpretation and well-log prediction
05 Building a 36-month AI implementation roadmap with measurable KPIs
06 Increasing AI automation as operational trust develops
07 Avoiding common failure points in digital and AI programmes

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

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