Formation Damage: Causes, Prevention, and Remediation
This workshop provides a focused overview of formation damage mechanisms, their impact on well productivity, and effective strategies for prevention and remediation. Participants will gain practical knowledge of diagnostic techniques and engineering solutions to minimize productivity losses and improve reservoir performance.
Workshop Objectives
• Understand the main causes and mechanisms of formation damage.
• Identify formation damage during drilling, completion, and production operations.
• Learn diagnostic methods for detecting and evaluating damage.
• Explore prevention techniques and best practices in field operations.
• Assess remediation methods to restore and sustain well productivity.
About the Presenter
The workshop is delivered by an experienced petroleum engineering professional with a strong background in reservoir management, well performance, and stimulation techniques. The presenter combines technical expertise with real-world field knowledge to provide participants with actionable strategies and industry best practices for addressing formation damage effectively.
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.