What Does Applying AI to Production Optimization Actually Look Like?
This isn't a product demo. It's a practical, engineering-focused session on what production optimization really means - and how AI makes true, continuous optimization and autonomous control achievable at scale for the first time.
What You'll Learn
✔️ The most common reasons for deferred or lost production
✔️ What using AI for production optimization actually means - and the core outcomes that define it
✔️ The difference between a reactive well monitoring and AI-driven autonomous control and anomaly detection
✔️ How AI moves you from alarm based-response to proactive, consistent well management - and what that looks like in practice
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Learning Objectives
What is Production Optimization?
Walk away with a clear, practical definition of what production optimization actually means in upstream operations — and how AI is making it possible at a scale manual processes never could.
Catch Problems Before They Cost You
Explore the most common optimization gaps on rod lift and plunger lift wells - and how to catch them before losing production.
Building an Optimization Practice
Learn what it takes to move beyond one -time tuning events and build a repeatable, data-driven approach to well performance that improves over time.
Dive Deeper Into Rod & Plunger Lift Optimization
Explore the most common optimization gaps across both lift types—what they are and how they impact performance.
These field guides break down each anomaly and show how to identify and correct them with a more structured approach to optimization.
