AAPG Student Programs

Professional development opportunities are coming to Houston this August.

Amalia Olivera-Riley (Subsurface Consultants & Associates, LLC (SCA)) leads this short course at IMAGE '26 on the strategic skills that drive outcomes in complex joint venture environments.

Here's what you could be learning:
• How to build influence across organizational and cultural boundaries in JV settings
• Communication and negotiation strategies that work at every level
• Frameworks for navigating uncertainty and driving alignment in partnerships

📅 Mon, 17 Aug | Houston
Learn more: https://bit.ly/4g8ohl5


AAPG SEG

The 2025–26 AAPG Distinguished Lecture (DL) series continues with two presentations by Heather Bedle, a geophysics professor and director of the Sustainable Energy Systems Program at the University of Oklahoma. Each presentation will be followed by a live Q&A session.

Nov 4, 2025 12:00 PM
Register here: https://aapg.zoom.us/webinar/register/WN_6z-Kut1OTQyJU8i5IAFrVg
Accurate subsurface characterization is essential for both conventional and sustainable energy projects, yet traditional methods often fall short.

Join this expert-led session on advanced seismic attributes and machine learning, featuring real-world case studies from the AASPI consortium at the University of Oklahoma.

Learn how to:
• Enhance seismic facies classification and fault detection
• Reveal subtle subsurface features with machine learning
• Apply techniques to hydrocarbons, carbon storage, and geothermal systems
• Select attributes and implement ML approaches effectively
Gain actionable insights to improve reservoir characterization, reduce uncertainty, and make informed decisions across diverse geologic settings.

Nov 11, 2025 12:00 PM
Register here: https://aapg.zoom.us/webinar/register/WN_Rrnpac5IQgeaOGdJtQAhsg
Machine learning is revolutionizing seismic interpretation—but its “black box” nature can leave interpreters uncertain.

Join us to learn how SHAP (SHapley Additive exPlanations) brings transparency to complex models, showing which seismic attributes drive facies predictions.

What You’ll Learn:
• Local and global insights from SHAP values
• How to spot misclassifications and optimize attributes
• Real-world case studies across varied geologic settings
• Strategies to integrate SHAP into your workflows for more confident decisions
Empower your seismic interpretation with practical machine learning insights to improve accuracy and reliability.