Case Study: Eni S.p.A. achieves weekend-scale probabilistic forecasting for a complex compositional model with Stone Ridge Technology’s ECHELON software

Eni S.p.A runs 150 Monte Carlo simulations in a weekend with Stone Ridge Technology

The customer, Eni S.p.A, faced the challenge of performing a probabilistic forecast for its complex Agave oil field. This required running 150 detailed, multi-million cell compositional simulations over a single weekend to evaluate development risks, a task that demanded immense computational power. The vendor, Stone Ridge Technology, addressed this with its ECHELON reservoir simulation software.

Stone Ridge Technology's solution utilized ECHELON's robust compositional solver, which was run on GPUs within Eni's supercomputer. The software successfully completed all 150 simulations within the desired timeframe, generating a full Monte Carlo risk analysis. This allowed Eni to efficiently obtain the P10, P50, and P90 forecasts needed for its development strategy.

Eni S.p.A