1)AI Enhanced Geothermometry and Temperature Mapping
This body of work develops and reviews AI workflows that use chemical geothermometers, hydrochemistry and limited temperature data to infer static formation temperatures, gradients and heat flow. It demonstrates how machine learning and log transformation approaches can outperform classical corrections for BHT and silica/Na K geothermometers, improving early stage evaluation of wells and basins.