Geomechanics and Rock Mechanics for Drilling Optimization
A focused program on using geomechanics to plan and execute safer, faster wells. Participants apply stress, pore pressure, and rock property models to stabilize wellbores, reduce NPT, and improve drilling performance across complex formations.
Workshop Objectives
• Build and calibrate 1D geomechanical models using logs, image data, and offset wells
• Define safe mud weight windows and trajectories to manage stability, losses, and kicks
• Optimize BHA and drilling parameters using rock strength and failure criteria
• Implement real-time surveillance to update models and prevent instability and stuck pipe
About the Presenter
Delivered by a senior geomechanics specialist with field and office experience across exploration, appraisal, and development drilling. Instruction emphasizes practical model building, defensible assumptions, and tools that translate subsurface understanding into stable, efficient well delivery.
Applied Machine Learning for Upstream and Subsurface Domains
This two-day hands-on workshop is designed for petroleum and subsurface professionals seeking practical skills in machine learning for upstream oil & gas operations. The program teaches participants how to apply machine learning to uncover patterns in production and reservoir data, discover equations from historical relationships, and build predictive models for vital engineering parameters. Real-world datasets from drilling and subsurface domains are used, focusing on automating reports, visualizing data, and interpreting model outputs for improved decision-making.