Step 3 of 4
Well-Rate Forecasting
Physics-based production forecasts that outperform empirical decline curves in both speed and accuracy.
Pre-drilling
Physics-Based Well-Rate Forecasting
Uses physics-based input parameters to generate production forecasts prior to drilling.
- •Digital twin built using porosity–permeability transforms
- •Outperforms empirical decline curves in speed and accuracy
Post-drilling
History Matching Calibration
Calibrates forecasts to early production data. Unlike Arps or other empirical decline models, the Gaussian approach is fully physics-based and tied to reservoir and fracture properties.
- •History matching reduces uncertainty in input parameters
- •1-month daily rates suffice for full-lifecycle forecast
- •Tested extensively by bootstrapping production profiles of exhausted fields