GEIOS EQG for Retrofit Wells : Repowering well with Advanced Metamaterials for Heat transfer and Advance Nano Stimulation

Abstract

This study presents a technical assessment of GEIOS Enhanced Quantum Geothermal (EQG) technology applied to a non-commercial geothermal well in a high-enthalpy, silica-rich system in South America. The subject asset intersects stable reservoir temperatures of 270–295°C at a measured depth of 2,540 m, but delivered only 1.8 MWe during initial testing due to sub-commercial permeability and severe silica scaling of up to 21 mm on internal surfaces.
The EQG system implements a sealed, non-extractive circulation architecture that replaces permeability-dependent fluid production with engineered heat transfer mechanisms. The design focuses on enhanced thermal conductivity at the wellbore–formation interface via advanced materials, nano-engineered stimulation strategies, and optimized internal fluid dynamics, while explicitly treating silica fouling as a primary design load.
Thermohydraulic modeling, constrained by field temperature logs, completion geometry, and measured silica deposition, reproduces the in-situ temperature profile across the 500–2,540 m interval in close agreement with measured logs. Under EQG retrofitting and nanofoam-assisted stimulation, steady-state operation achieves 4.6–5.4 MWe net electrical output (90% CI), corresponding to a ~155–200% uplift relative to the historical 1.8 MWe baseline. System stability is maintained over modeled multi-year horizons with controlled parasitic loads and bounded fouling impacts.
Results confirm that repowering underperforming assets in chemically aggressive, low-permeability environments requires shifting performance dependence from stochastic transmissivity to controlled, architecture-driven heat transfer efficiency. The EQG configuration evaluated here demonstrates a technically viable, permeability-agnostic route to monetize previously stranded high-enthalpy resources in silica-rich South American fields while preserving operational resilience in severe scaling conditions.