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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

William Marfo

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2 papers indexed here

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Conference Oct 2026

Field Calibrated Dual Porosity THM Modeling and Physics-Guided Machine Learning for Probabilistic Enhanced Geothermal System Forecasting at Utah FORGE

Enhanced Geothermal Systems (EGS) depend on connected fractures for fluid circulation and heat extraction, but those same pathways control pressure buildup, thermal contraction, transmissivity evolution, stress redistribution, and the potential for induced slip. This study develops a field anchored, two-dimensional r...

G. Akpabli, N. Sibaweihi, H. Rahnema et al. · 0 citations
Review Open access Sep 2026

Multiphysics, Machine Learning, and Physics Informed Approaches to Fault Reactivation During Geological CO2 Storage: A Critical Review and Research Roadmap

Geological CO2 storage must operate within pressure and stress limits that preserve caprock, fault, and well integrity while sustaining climate-relevant injection. Existing reviews often treat multiphysics simulation, machine learning, and physics-informed learning separately, which obscures the different evidence requ...

G. Akpabli, H. Rahnema, William Marfo et al. · 0 citations

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