Case Study: Eni S.p.A. accelerates reservoir simulations with Stone Ridge Technology's ECHELON

Eni S.p.A speeds simulations 2.6x with Stone Ridge Technology

Eni S.p.A faced the challenge of running a robust forecast for its giant Zucchini field model in the Middle East. The model had 6.7 million active cells and a complex 40-year production schedule with a sequential drilling queue for infill wells, which required a high-performance solution to avoid field scheduling instabilities during optimization.

The vendor, Stone Ridge Technology, implemented its ECHELON software, which seamlessly ran the model on a single GPU and was further accelerated by scaling to four GPUs using domain partitioning. This solution from Stone Ridge Technology resulted in a 2.6x speed-up with four GPUs compared to a single GPU, providing the robust performance needed for the development plan optimization without impacting operational stability.

Eni S.p.A