aiION® – Geothermal Resource Evaluation Platform (Patent Pending)
aiION® is a Python‑based AI platform that replaces traditional geothermometers with a deep‑neural‑network geothermometer trained on 674 high‑quality samples from the Great Basin. It uses eight hydrochemical inputs (K, Na, Mg, Ca, Cl, F, SiO2, pH) and a multi‑source temperature inference strategy to achieve reservoir‑temperature predictions with R2≈0.98 and RMSE ~4 °C, outperforming classical and ML baselines.
Key Capabilities
- Automated data integrity checks (CBE), outlier rejection and geochemical QC.
- Integrated PHREEQC engine for saturation indices, gas fugacity and scaling/corrosion risk.
- Thermophysical property calculator using IAPWS‑IF97 to derive enthalpy, density and phase conditions.
- Volumetric and Monte Carlo heat‑in‑place and power potential estimation, with CapEx/OpEx and LCOE calculations.
- Proven on the Wadi Al‑Lith case in Saudi Arabia, where it classified the system as 90–135 °C medium‑ to high‑enthalpy and estimated ~4.6 MWe potential, demonstrating industrial readiness.