The Oklahoma Geological Survey (OGS) is committed to providing undergraduates with opportunities to participate in hands-on research that directly impacts Oklahomans. Students work closely with researchers and gain skills that connect classroom knowledge to real-world applications. These experiences allow undergraduates to expand their scientific training, develop technical expertise, and directly contribute to research. We are always looking for motivated students who are eager to learn and contribute to ongoing research efforts. Please reach out to the listed contacts if you have a specific interest.
Comparative Study of Natural vs. Induced Seismicity
Teach a supercomputer to tell the difference between “natural” earthquakes and those triggered by human activity (anthropogenic events). You’ll dive into Oklahoma Geological Survey earthquake catalogs, pull out patterns in waveform, depth, magnitude, and frequency etc, then train an AI model to classify events. It’s a hands-on mix of seismology and machine learning.
Contact Dr. Jake Walter - jwalter@ou.edu
Deep Learning for Small Earthquake Detection
Some of the tiniest earthquakes are the hardest to find and verify by even the most experienced seismic analysts. But AI can help. This project aims to fine-tune a pre-trained model to detect really small, human-induced earthquakes. It’s a hands-on way to learn transfer learning, improve detection capabilities, and see AI make a real world impact. This project aims to provide deep learning experience, Python coding skills, and excitement of working with real world seismic waveforms.
Contact Dr. Jake Walter - jwalter@ou.edu
