CSH-SEG Spring Symposium-Data Science and Geophysics: How Machine Learning and AI will Change Our Industry, April 27-28

Announcement from CSH-SEG:
The symposium will be held over two days and will consist of a keynote address, multiple speakers each day, and two exciting lunchtime events. The first will be our traditional SEG Student Challenge Bowl competition. This will be held online and will feature the traditional battle between student geophysicists to be crowned the winner of the GSH Challenge Bowl and to earn a place at the Challenge Bowl finals at the SEG Annual Meeting in the fall! The second event will be the announcement of the winners of the Machine Learning Competition being run by the Data Science & Machine Learning SIG and will include an overview of the competition challenge, the announcement of the winner, and a presentation by the winning entry.  

Keynote Speaker:
Jake Umbriaco, Digital Platform and Services Manager, Subsurface – Chevron  
Confirmed speakers and topics include:
Aria Abubaker, Schlumberger Machine Learning for Geoscience Applications
Satinder Chopra, SamiGeo Some Machine Learning Applications for Seismic Facies Classification
Hugo Garcia, Geoteric Automated Fault Detection from 3D Seismic using Artificial Intelligence
Elive Menyoli, Emerson Wavefield Separation via Principle Component Analysis and Deep learning in the Local Angle Domain
Tom Smith, Geophysical Insights The Scientific Universe from Square One to SOM
Yuting Duan, Shell Estimation of Time-lapse Timeshifts using Machine Learning
Jon Downton, CGG Predicting Reservoir Properties from Seismic and Well Data using Deep Neural Networks
Wenyi Hu, AGT & UH Progressive Transfer Learning for Low Frequency Prediction in FWI  
Learn More and Register here