Oil and Gas Reserves Evaluation
This workshop provides practical knowledge of reserves evaluation, covering methods used to estimate, classify, and report oil and gas reserves. Participants will learn industry-standard practices for reliable assessments that support asset valuation, field development, and investment decisions.
Workshop Objectives
Understand the principles and classifications of oil and gas reserves.
Learn key methodologies for reserves estimation and reporting.
Apply evaluation techniques to support field development planning.
Strengthen decision-making through accurate reserves assessment.
About the Presenter
The presenter is an industry professional in reserves evaluation, reservoir engineering, and resource management. Combining technical with practical industry knowledge, the presenter equips participants with tools to enhance the accuracy and reliability of reserves assessments.
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.