Root Cause Failure Analysis
This workshop provides a practical framework for conducting root cause failure analysis (RCFA) in oil and gas mechanical systems. It covers failure mechanisms, analytical techniques, data collection methods, and corrective action planning. Participants will gain hands-on insights into systematically identifying underlying causes of equipment failures and implementing effective solutions to prevent recurrence.
Workshop Objectives
• Understand the fundamentals of root cause failure analysis.
• Apply structured methodologies and tools for failure investigation.
• Evaluate common mechanical failure mechanisms in oil and gas equipment.
• Develop effective corrective and preventive action plans.
• Strengthen decision-making to improve reliability and operational performance.
About the Presenter
The workshop is delivered by an experienced industry professional in failure analysis, reliability engineering, and mechanical integrity management. With strong technical and training experience, the presenter provides participants with industry-focused knowledge to enhance their capability in diagnosing and solving complex failure problems.
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.