1)aiION® — Python Geothermal Resource Evaluation Platform
GeoLogic® has developed aiION®, a patent‑pending, Python‑based geothermal resource evaluation 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 and pH) together with a multi‑source temperature inference strategy to deliver reservoir‑temperature predictions with a coefficient of determination of about 0.98 and an RMSE near 4 °C, outperforming both classical geochemical formulas and standard machine‑learning baselines. Building on this predictive engine, aiION® automates data integrity checks, integrates geochemical modeling for saturation and scaling risk, calculates thermophysical properties using IAPWS‑IF97, and performs volumetric and Monte Carlo heat‑in‑place and power‑potential assessment with CapEx, OpEx and LCOE outputs, as demonstrated in its successful application to the Wadi Al‑Lith system in Saudi Arabia.