Location: Online
Speakers:
Senthil Artcot, Digital Transformation Advisor, Azo Global
Rajni Jaipaul, Digital Transformation AI Specialist
About the event:
This webinar provides Oil & Gas engineers with a practical roadmap for identifying, evaluating, and implementing AI solutions that deliver measurable results across upstream, midstream, and downstream operations.
The oil and gas industry stands at a pivotal transformation point where artificial intelligence is moving from experimental technology to operational necessity. The speakers will address the following key outcomes:
- AI Impact Across the Value Chain: Explore how leading companies are leveraging AI for reservoir exploration, drilling automation, predictive maintenance, storage facility inspection, refinery optimization, and supply chain management. We'll examine real-world applications that have reduced operational costs, increased extraction rates, and extended equipment lifetimes.
- The Digital Transformation Opportunity: See how AI is revolutionizing traditional workflows—from transforming paper-based inspection reports and manual documentation into intelligent, automated systems to optimizing complex drilling parameters in real-time. Learn practical approaches for digitizing legacy processes while focusing on the broader AI transformation across your operations.
- The 3 Rs Framework for Identifying AI Opportunities: Master a systematic approach to finding high-impact use cases in your operations by focusing on Repeatable processes, Resource-intensive tasks, and Rule-based operations. We'll walk through practical examples of how this framework has uncovered opportunities that others missed.
- Strategic Implementation Approach: Understanding that not every process needs AI, we'll cover how to prioritize initiatives based on cost impact, accuracy improvements, and employee productivity gains. Learn why starting with high-impact, non-mission-critical applications builds momentum and organizational confidence.
- From Vision to Reality: Explore proven strategies for ensuring data quality and availability—the foundation of successful AI implementations. Discover why incremental wins outperform end-to-end solutions in building sustainable AI programs.
Senthil Arcot
