Webinar: AI in Oil & Gas: Turning Complex Data into Actionable Intelligence
August 12, 2026 · 9:00 AM – 9:45 AM PDT
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Reserve your seat. The session includes a 30-minute discussion followed by a 15-minute live Q&A.
Register on ZoomAbout this webinar
The oil & gas industry generates massive amounts of complex, fragmented data — from drilling reports and seismic data to equipment logs and operational records. Yet much of this data remains underutilized due to silos, inconsistent formats, and the difficulty of extracting meaningful insights.
Join DaaX for a practical session on how AI is transforming oil & gas operations — enabling teams to unlock insights, reduce inefficiencies, and make faster, more informed decisions.
In this webinar, we'll explore how modern AI approaches — combining large language models with structured data and domain knowledge — are helping organizations move beyond manual analysis to intelligent, scalable systems.
What we'll cover
- Key challenges in oil & gas data (unstructured reports, siloed systems, domain complexity)
- How AI can unlock insights from drilling reports, logs, and technical documents
- OSDU Ontology
- Practical use cases: Non-Productive Time (NPT) analysis
- Equipment failure detection and root cause analysis
- Knowledge capture from historical operations
- Faster access to engineering and field insights
- How to build AI systems that are reliable and trustworthy in high-stakes environments
Panelists
Dr. Tamas Nemeth
DaaX Advisor; formerly Research Scientist, Machine Learning and Earth Sciences, Chevron
Dr. Nemeth spent his entire post-graduate career as a geophysicist with Chevron where he was involved in seismic imaging research and application development, high-performance computing and exploration. Recently he led a technical team to optimize cloud-based geophysical workflows and as part of these efforts experimented with agentic AI for autonomous workflows.
Sajjad Khazipura
Co-Founder & CTO, DaaX
Co-Founder & CTO of DaaX. At DaaX, Sajjad is building LAKEer — an enterprise neuro-symbolic AI platform combining knowledge graphs, vector search, and structured data retrieval to deliver grounded, hallucination-resistant AI for mission-critical applications. He brings experience building internet-scale, high-reliability systems, petascale data platforms, real-time transactional systems, and industry AI solutions across e-commerce, manufacturing, healthcare, and finance. Prior roles include Principal Solutions Architect at AWS and VP & Global Practice Head at Wipro Technologies.