One Year in the Making: Continuing The Technical Focus With An Even Greater Strategic Depth

Building on the success of the inaugural launch conference, we aim to maintain a clear focus on the vital technical elements—the actual models, data collection, integration, and validation processes. Yet, our research has also underscored the growing need for a broader perspective, one that seamlessly integrates strategic leadership. 

Why Executive Strategy Also Matters for ROI On AI Projects In Unconventional Oil & Gas 

AI systems that predict well performance, forecast equipment failures, and optimize production could soon become indispensable tools for decision-making. 

However, true ROI from AI initiatives hinges on their integration into broader business strategies across technical divisions and engineering disciplines. 

For example, AI-driven reservoir characterization and modeling offer significant opportunities to integrate drilling data, making the results much more actionable. Similarly, for emissions reduction, facilities engineers and regulatory compliance teams must trust AI to inform their decisions. We will look at such strategic enablers in detail at the next event.

From Silo to Synergy: How Some Operators Are Already Delivering Results On AI 

Ensuring data integrity, security, and proper usage is essential for the success of AI-driven initiatives. We will be inviting speakers who can talk about effective collaboration, interoperability, and communication across departments, which are now vital for successfully deploying AI systems.

AI’s Impact on Production: A Multidisciplinary Approach to Success

You'll hear from a diverse range of experts, including data scientists, petroleum engineers, reservoir engineers, geoscientists, and seismic interpretation specialists. Discussions will center on which systems to implement and how best to calibrate them for optimal performance. 

The Growing Role of AI in Regulatory Compliance

Regulatory compliance, particularly in the context of emissions reduction, will be a significant focus of the 2025 agenda. We plan to feature discussions on how AI can enhance monitoring and reporting for emissions and water usage, marking a substantial evolution from last year’s focus. 

Integrating AI into Decision-Making Workflows, Cross-Departmental Engineering Processes & Operational Culture 

Setting realistic expectations, securing organizational buy-in, and managing the cultural shift that AI requires are all critical factors for success. Experts will share their strategies for ensuring that AI projects are implemented smoothly and with long-term sustainability.

While broadening the conversation to include a more comprehensive array of stakeholders, we remain committed to delivering highly relevant content for data engineers and analytics managers. This will consist of deep dives into AI models, data types, and validation techniques, particularly within reservoir engineering and other specialized areas. 

We look forward to welcoming you to the event in May 2025.