How We Work
Our Reservoir Optimization Process is a proven four-step cycle that transforms raw well data into actionable insights.
Digital Permeability Twin
We construct a high-resolution digital twin of your reservoir's permeability field using Gaussian process regression on well log data and seismic attributes. This probabilistic model captures spatial uncertainty that deterministic approaches miss.
Fracturing Treatment Design
Using the permeability twin, we optimize fracture geometry, proppant placement, and treatment schedules. Our models predict fracture propagation through heterogeneous formations with full uncertainty quantification.
Well Rate Forecasting
Production forecasts are generated with confidence intervals — not single-point estimates. Our Gaussian process models learn from historical production data and update in real-time as new measurements arrive.
Probabilistic Reserves Estimation
P10, P50, and P90 reserves estimates are computed directly from the Gaussian process posterior, providing rigorous uncertainty bounds for SEC reporting and investment decisions. The cycle then feeds back into the permeability twin as new data is acquired.