David Moore

Global Wells Digital Advisor, Program Manager and AI Digital Delivery Lead Shell

David Moore is a digital transformation leader and AI strategist who has delivered over $120MM in measurable business value while leading a $1Bn value-potential digital transformation initiative across Shell's Americas wells operations. With a PhD in AI-driven systems and 20+ years bridging engineering, technology, and executive leadership, he brings rare depth to the intersection of artificial intelligence and industrial operations.

At Shell, David leads cross-functional teams deploying digital applications, AI/ML, cloud platforms, industrial automation, and real-time data systems across complex operational environments. His work has achieved 30% operational efficiency gains and pioneered connected worker platforms now scaling enterprise-wide. He holds executive education from MIT Sloan in AI business strategy and Driving Innovation with Generative AI.

David's expertise spans the full technology lifecycle - from identifying high-impact use cases through executive buy-in to agile delivery and enterprise adoption. He is a published researcher, a Fellow of the Institute of Materials, Minerals & Mining, and an advocate for responsible AI deployment in mission-critical industries.

Main Conference Day 2 - February 25, 2026

1:50 PM Architecting Toward Autonomous Operations - Hierarchical Multi-Agent Systems for Scalable Energy Automation

As energy operations grow more complex and data-rich, the next frontier lies not in isolated AI tools, but in how intelligence is structured, governed, and coordinated across domains. This session explores the architectural foundations and emerging practical applications of hierarchical multi-agent systems, a layered approach to AI in which specialized agents collaborate under orchestration and governance frameworks to support scalable automation.

Drawing from early-stage R&D and real-world system design in upstream operations, David examines how orchestration agents can dynamically route tasks to domain-specific sub-agents across drilling, subsurface, completions, and abandonment workflows. The session highlights how these patterns enable distributed, semi-autonomous decision support while maintaining human oversight, safety, and operational control.

Attendees will gain insight into how hierarchical agent architectures can evolve enterprise AI capabilities, from intelligent document retrieval across distributed vector databases to emerging prototypes for coordinated decision-making between drilling and subsurface systems, offering a practical, forward-looking view of how agentic AI can be responsibly scaled in energy operations.

Check out the incredible speaker line-up to see who will be joining David.

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