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python-geothermal-wadi-al-lith

Python
Geothermal Assessment – Wadi Al Lith

Integrated Python workflow combining geochemistry, geothermometry, thermodynamics and Monte Carlo volumetrics.

Python Geothermal Assessment – Wadi Al Lith

1)Python Driven Geothermal Assessment Framework – Wadi Al Lith, Saudi Arabia

This work develops a fully integrated Python workflow for Wadi Al Lith that combines hydrogeochemical interpretation, classical and multicomponent geothermometry, thermodynamic modeling and Monte Carlo volumetric simulations. It demonstrates that the Ain Al Harrah, Bani Hilal, Wadi Markub and Al Darakah systems form a medium enthalpy resource (about 90–135 °C, 30–46 °C/km gradients, ~106 mW/m² heat flow) with an average generation potential of ~4.6 MWe per km³ over a 20 year ORC project.