Applied Reservoir Engineering Using MS Excel
This workshop focuses on applying reservoir engineering principles using Microsoft Excel to analyze and manage hydrocarbon reservoirs effectively. Participants will learn to perform key calculations, model reservoir behavior, and optimize recovery through practical Excel-based exercises, enhancing their ability to make data-driven decisions in reservoir management.
Workshop Objectives
To equip participants with hands-on skills in using Excel for reservoir engineering tasks such as volumetric calculations, fluid flow modeling, performance forecasting, and economic evaluation, enabling them to improve reservoir analysis accuracy and optimize field development strategies.
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.