Physics-based production optimization that outperforms empirical decline curves. Fully tied to reservoir and fracture properties.
1-month of daily production rates suffice for a full-lifecycle forecast. No need to wait for years of history.
Unlike Arps or other empirical decline models, the Gaussian approach is fully physics-based and tied to reservoir properties.
Tested extensively by bootstrapping production profiles of exhausted fields. Proven accuracy against known outcomes.
Uses physics-based input parameters from the digital twin to generate production forecasts prior to drilling. Built on porosity–permeability transforms.
Calibrates forecasts to early production data. History matching reduces uncertainty in input parameters, continuously improving predictions.
Physics-based forecasts that improve with every data point.