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38 T97. Geoscience and Hydrogeology in the AI Era: From Predictive Models to Real-Time Applications

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.

Presentations

Paper No.	Title	Presenting Author	Start Time	End Time	Item Duration (min)	Action
	Introductory Remarks and Welcome		01:30 PM	01:35 PM	5 min
38-1	Scaling up Speciation: Using Machine Learning to Upscale Speciation Measurements in Arsenic-Impacted Groundwater	Athena Nghiem	01:35 PM	01:55 PM	20 min	View
38-2	Advances in progressive transfer learning for subsurface storage and energy recovery systems	Hongkyu Yoon	01:55 PM	02:15 PM	20 min	View
	Withdraw of Abstract 9898		02:15 PM	02:35 PM	20 min
38-4	Predicting Groundwater Hydrochemical Facies in Three Dimensions across the Conterminous United States with Random Forest Classification	Paul Stackelberg	02:35 PM	02:50 PM	15 min	View
38-5	An Efficient Surrogate-based Multi-Objective Optimisation Framework Using Sequential Sampling Strategy and Evolutionary Algorithm for Sustainable Island Groundwater Management under Recharge Change and Sea-level Rise	Weijiang Yu	02:50 PM	03:05 PM	15 min	View
	Withdraw of Abstract 10976		03:05 PM	03:20 PM	15 min
	Session Break		03:20 PM	03:35 PM	15 min
	Withdraw of Abstract 9806		03:35 PM	03:50 PM	15 min
	Withdraw of Abstract 8769		03:50 PM	04:05 PM	15 min
38-9	Integrating Machine Learning with Geochemical Modeling: A Hybrid Random Forest–Gaussian Processes Approach	Javier Samper	04:05 PM	04:20 PM	15 min	View
38-10	Physics-Informed Neural Network Framework for Modeling Flow in Dual-Pore Porous Media	Venkat Maduri	04:20 PM	04:35 PM	15 min	View
38-11	Prediction of Karst Aquifer Recharge Through a Hybrid Explainable Artificial Intelligence and Hydrological Modeling Approach	Hakan Basagaoglu	04:35 PM	04:50 PM	15 min	View
	Withdraw of Abstract 4483		04:50 PM	05:05 PM	15 min
38-13	Challenges Applying Deep Learning to Rainfall-Runoff Modeling in the Hydrologically Complex Catchments of the Texas Hill Country	Aspen Lightfoot	05:05 PM	05:20 PM	15 min	View
	Concluding Remarks and Thank you!		05:20 PM	05:25 PM	5 min

Geoscience and Hydrogeology in the AI Era: From Predictive Models to Real-Time Applications

Description

Date and Time: Sunday, 19 Oct - 1:30 PM (Central Time (US & Canada))

Room: HBGCC, 210AB

Session Type: Topical Sessions

Session Format: Oral

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