AI / Data
g.cast
AI-assisted forecasting for production and pricing.
PythonTime-series MLFastAPISupabase
demo coming soonin-progress
overview
A forecasting layer that sits on top of the production and price data warehouse. Combines classical decline curves, gradient-boosted residual models, and macro features (rig count, frac spread, oil futures curve) to produce probabilistic forecasts at the well, area, and basin level.
highlights
- Probabilistic forecasts (P10 / P50 / P90) on every series
- Backtest harness with rolling-origin evaluation
- Feature store keyed on API number and grid cell
- Drift monitoring on incoming data