Panel 1: From Algorithms to Asset Value: Scaling AI/ML for Subsurface Impact
SESSION OVERVIEW
While AI/ML adoption in subsurface workflows is accelerating, the industry often struggles to translate technical capability into measurable asset value. This panel convenes operators, technology providers, and digital leaders to examine real-world deployments—from seismic interpretation and reservoir modelling to production optimization. The discussion will focus on moving beyond successful pilots to enterprise-wide scaling, identifying the key drivers of tangible impact, and defining the strategies needed to fully integrate AI/ML into core decision-making processes.
KEY DISCUSSION THEMES
- Scaling success: Transitioning from isolated pilots to enterprise-wide deployment across assets.
- Workflow integration: Embedding AI/ML into the subsurface decision cycle.
- Data foundations: Overcoming legacy system constraints, ensuring data readiness, and maintaining governance.
- Measuring ROI: Quantifying value through production uplift, cost reduction, and cycle time improvements.
- Collaboration models: Navigating the "build vs. buy" dilemma between operators and tech providers.
- Reality vs. Hype: Separating effective implementation strategies from industry buzz.
