Well Test Analysis and Interpretation Using MS Excel
This workshop offers a practical and comprehensive approach to analyzing and interpreting well test data using Microsoft Excel. Participants will learn essential techniques to perform calculations, create diagnostic plots, and model well test scenarios for reservoir characterization and performance evaluation. The course covers a wide range of well test types, including drawdown, buildup, interference, and pressure transient analysis, with hands-on exercises to build proficiency in Excel-based tools for effective reservoir management.
Workshop Objectives
To equip participants with the skills to analyze and interpret well test data accurately using MS Excel, enabling better understanding of reservoir properties, identification of production issues, and informed decision-making for optimizing well and reservoir performance. The workshop emphasizes practical application through case studies and numerical exercises to enhance operational efficiency and technical confidence.
About the Presenter
Dr. M. J. Prince (Oil & Gas Professional)
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.