Well Test Design and Analysis
This workshop provides in-depth knowledge of well test design and analysis, focusing on techniques used to evaluate reservoir properties, well performance, and fluid behavior. Participants will gain practical insights into test planning, execution, and data interpretation to optimize reservoir management and production strategies.
Workshop Objectives
Understand the principles and methodologies of well test design.
Learn best practices for test execution and data acquisition.
Develop skills in interpreting well test results for reservoir characterization.
Apply analysis techniques to support production optimization and decision-making.
About the Presenter
The presenter is an experienced industry professional in reservoir engineering, well testing, and production optimization. With a background in both field operations and advanced analysis, the presenter brings practical insights and proven methodologies to enhance participants’ technical competencies.
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.