Hydrocarbon Indicators
This workshop examines the use of seismic hydrocarbon indicators for exploration and reservoir evaluation. Participants will learn how amplitude variations, direct hydrocarbon indicators (DHIs), and related attributes are applied to reduce exploration risk, improve prospect evaluation, and enhance decision-making in hydrocarbon detection.
Workshop Objectives
• Understand the principles and types of seismic hydrocarbon indicators.
• Analyze amplitude and attribute responses related to hydrocarbons.
• Evaluate the reliability and limitations of DHIs in exploration.
• Apply hydrocarbon indicators to improve prospect risk assessment.
About the Presenter
The workshop is led by a geophysics professional with extensive expertise in seismic interpretation, attribute analysis, and exploration geoscience. The presenter integrates technical depth with industry experience, ensuring participants gain practical skills alongside theoretical knowledge.
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.