Maintenance and Reliability Engineering
This workshop provides a focused exploration of maintenance and reliability engineering within the oil and gas sector. It highlights strategies for improving equipment performance, optimizing maintenance practices, and implementing reliability-centered approaches to enhance asset integrity and reduce downtime. Participants will gain practical insights into balancing cost, safety, and operational efficiency through effective maintenance and reliability programs.
Workshop Objectives
• Understand the principles of maintenance and reliability engineering.
• Apply reliability-centered maintenance and condition-based strategies.
• Evaluate performance metrics to improve equipment availability and efficiency.
• Identify and address common challenges in maintenance planning and execution.
• Strengthen technical decision-making to optimize asset lifecycle management.
About the Presenter
The workshop is led by an experienced industry professional in maintenance engineering, reliability improvement, and asset management within oil and gas operations. With extensive field and training experience, the presenter delivers practical, industry-relevant knowledge aimed at equipping participants with actionable strategies to improve reliability performance.
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.