SATURATION Modelling – KAISAT™

Linking Static Models to Dynamic Reservoir Performance

Saturation modelling and Saturation Height Function (SHF) modelling are critical components of subsurface characterization, directly linking static geological models to dynamic reservoir behavior. They control hydrocarbon distribution, volumetric accuracy, and production forecasting.

KEPLIS develops robust saturation models using both conventional petrophysical workflows and advanced Machine Learning techniques. By integrating capillary pressure, rock properties, and reservoir data, KEPLIS workflows ensure physically consistent and geologically realistic saturation distributions.

Through rigorous calibration and multidisciplinary validation, KEPLIS delivers fit-for-purpose saturation and SHF models that reduce uncertainty, enhance reservoir predictability, and support optimized reservoir development and production strategies.