As environmental modeling demands faster computation and deeper uncertainty quantification, Neptune continues to invest in the intersection of artificial intelligence and physical earth sciences. At the World Geothermal Congress 2026 (WGC26), Neptune researcher Michael Morphew will present his poster, Evaluating Groundwater Emulators in Systems with Uncertain Source Conditions, tomorrow at 4:30 PM. His work examines how machine learning surrogate models perform when boundary and source parameters are incomplete or highly variable, offering a pathway to accelerate complex subsurface simulations without sacrificing predictive reliability.
By bridging data-driven emulators with traditional physics-based hydrogeology, Neptune enables project teams to run rapid probabilistic assessments across complex geothermal and groundwater systems. Conference attendees visiting the poster session can speak directly with Michael to discuss model validation frameworks, uncertainty quantification workflows, and practical applications of AI across upcoming environmental and energy development projects.
