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28 T97. Geoscience and Hydrogeology in the AI Era: From Predictive Models to Real-Time Applications (Posters)
Session Chairs:
Md Lal Mamud, Katherine J. Knierim | U.S. Geological Survey, Maruti K. Mudunuru, Piyoosh Jaysaval, Md Kibria, Andrew O'Reilly, Robert M. Holt, Arindam Mukherjee, Paul Stackelberg, Mason Stahl
This session offers a unique platform to showcase advancements in Artificial Intelligence (AI), Machine Learning (ML), and physics-informed methodologies, focusing on topics in hydrogeology, subsurface flow and transport, real-time geophysical inversion, critical minerals, and energy applications.
Author Availability:
9:00–11:00 a.m.Presentations
| Booth No. | Paper No. | Title | Presenting Author | Action | 99 | 28-1 | Forecasting Karst Spring Discharge with a Hierarchical Spatiotemporal Graph Attention Network: A Case Study of Barton Springs | Renjie Zhou | View | 100 | 28-2 | Deep Learning for Automated Mineral Classification Using ResNet in the AI Era | Zhihui Xie | View | 101 | 28-3 | Predicting Maximum Groundwater Elevation Using Machine Learning to Support Site Investigation Planning and Development | Nardos Tilahun | View | 102 | 28-4 | From Pixels to Pores: Advancing Formation Characterization through Deep Learning Analysis | Dr. Md Golam Kibria | View | 103 | 28-5 | From Incomplete Drilling Data to Synthetic Seismograms: Machine Learning Based Prediction of Key LWD Logs for Core-Log-Seismic Integrations | Jenna Everard | View | 104 | 28-6 | Markov Chain order selection for prediction of daily precipitation in the High Plains | Arindam Mukherjee | View | 105 | 28-7 | Stochastic Modeling and Pore Scale Simulation of Fluid Flow for Permeability Predictions in Carbonates | Mr. SHALUKA RAJANTHA SENEVIRATHNA | View | 106 | 28-8 | Forecasting Future Shallow Groundwater Levels for Different Monitoring Wells in Texas Using LSTM Deep Learning Models | Ahmed Omar | View | 107 | 28-9 | Geologic Foundations for Nuclear Waste Storage: Evaluating Host Rock Systems and Long-Term Containment Strategies | Mr. Charles Ojodale Igomu | View | 108 | 28-10 | Electrical Resistivity Tomography of Ice Volume in Rock Glaciers on Mt. Mestas in Southern Colorado | Margi Smith | View | 109 | 28-11 | Structural Analysis of the Laurentian Basement underlying the Black Warrior Basin using Geophysical Models | Ms. Bhooma Parthasarathy | View | 110 | 28-12 | Groundwater Contaminant Exceedances at the Red Hill Facility: Analysis of Post-Spill Monitoring Data (2021–2025) | Nenad Maric | View |
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Geoscience and Hydrogeology in the AI Era: From Predictive Models to Real-Time Applications (Posters)
Description
Date and Time: Sunday, 19 Oct - 8:00 AM (Central Time (US & Canada))
Room: Hall 1
Session Type: Poster: Topical
Session Format: Poster
Author Availability: 9:00–11:00 a.m.
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