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AI for Faster Reservoir Characterization
▶️ WATCH NOW: The recording of our recent AAPG -hosted webinar, Machine Learning for Lithofacies Prediction and Fault Detection, is now available to watch.
If you missed the webinar, or if you’d like to revisit it, you can now watch the full recording here:
▶️ https://www.geoinsights.com/aapg-webinar-ml-lithofacies/
Key takeaways from the session:
• Predict lithofacies dramatically faster than traditional methods by integrating Machine Learning (ML) results with well logs based on petrophysics
• Detect thin beds down to a single seismic sample through unsupervised ML classification
• Apply Information Theory on seismic and wells to identify the optimum seismic attributes for an area
• Generate fault volumes in 2D or 3D within a few hours using synthetic fault models
Questions or inquiries? Feel free to contact our team at https://www.geoinsights.com/contact-us/.
06/01/2026
Don't forget to register! Tomorrow, join Geophysical Insights for our AAPG webinar on AI/machine learning (ML) workflows for seismic interpretation.
Designed for geoscientists looking for more efficient ways to work with seismic attributes, well information, and complex structural data, this webinar will focus on how AI/ML can help reveal patterns that are difficult to isolate manually and support faster, more consistent reservoir characterization.
Register below, and we'll see you there!
📝 REGISTER: https://bit.ly/4daX1Rh
ℹ️ LEARN MORE: https://bit.ly/4wPhcf8
05/29/2026
NEXT WEEK: Alvaro Chaveste, Senior Geophysical Advisor, will be representing Geophysical Insights at the 2026 Mexican Petroleum Congress Expo alongside our partner, OGO Oil & Gas Optimization.
Visit the OGO booth (316) to attend Alvaro’s presentation, titled:
“Un día en la vida del Geofísico: Generando Litofacies en 3D mediante aprendizaje automático.”
Drawing on his direct experience, Alvaro will explain how machine learning can support the generation of 3D lithofacies through the integration of seismic attributes, well data, and unsupervised classification workflows.
📅 Dates:
4 June | 12:30–12:55 p.m. (CST)
5 June | 11:30–11:55 a.m. (CST)
📍 Location: OGO Booth 316
Alvaro will also be available at the booth throughout the event to answer questions regarding the presentation, Paradise, and machine learning workflows for seismic interpretation.
We look forward to seeing you there.
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