Prospect Evaluation, Risks and Volumes
This workshop delivers a structured approach to evaluating exploration prospects, assessing geological and commercial risks, and estimating hydrocarbon volumes. Participants will gain practical insights into prospect assessment workflows and decision-making processes that guide exploration investments.
Workshop Objectives
• Understand the fundamentals of prospect definition and evaluation.
• Apply methodologies for volumetric estimation and resource classification.
• Assess geological, technical, and commercial risks in exploration projects.
• Integrate geoscience and engineering data into prospect evaluations.
• Strengthen decision-making for exploration portfolio management.
About the Presenter
The workshop is conducted by a senior industry professional in exploration geology, risk assessment, and resource evaluation. Drawing on field experience and best practices, the presenter equips participants with practical tools to apply robust evaluation methods and enhance exploration outcomes.
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.