Join us to explore how automation, machine learning, and physics-based modeling are being applied in real time to enhance drilling reliability and performance.

This session presents cutting-edge approaches to drilling dysfunction mitigation, equipment protection, and performance optimization. Topics include closed-loop control of auto driller dysfunctions, UCS-informed MSE management to prevent BHA damage, and predictive vibration modeling for ROP optimization. Additional presentations will cover the use of an advanced wellbore quality index for casing runability risk evaluation, downhole loss prediction using radial basis functions in machine learning, and multi-dimensional predictive maintenance frameworks. Attendees will gain actionable insights into how integrated, intelligent systems are transforming drilling operations across diverse environments.