EnergyCase Study

Stone Ridge Technology: GPU-Native Reservoir Simulator Cuts Runtime 100x

Stone Ridge Technology: GPU-Native Reservoir Simulator Cuts Runtime 100x

·10 min read
Stone Ridge TechnologyEnergy & Utilities · Oil & Gas SoftwarePrivate software vendor · Partnership with Fortune 500 energy company Eni

Key People & Companies

ECHELON 2.0

Stone Ridge Technology · Internal

Stone Ridge Technology

Vincent Natoli

Vincent Natoli

President and Founder at Stone Ridge Technology

Emily Fox

Emily Fox

Director of Communication at Stone Ridge Technology

Kenneth Esler

Kenneth Esler

CTO at Stone Ridge Technology

Eni

NVIDIA

NVIDIA

GPU hardware provider

Karthik Mukundakrishnan

Director of Research and Development at Stone Ridge Technology

+ 5 more entities in the full study

Key Results

  • Achieved 11.2-million-cell model simulation in 30 minutes using 8 NVIDIA A100 GPUs and 45 minutes with 4 A100 GPUs—a 20-year forecast with 9 components and 100 well locations, according to NVIDIA's case study.
  • Completed deep-water reservoir simulations in under 4 hours on 4 V100 GPUs for 150 ensemble realizations on Eni's HPC5 cluster, enabling rigorous uncertainty quantification.
  • Ran full field development simulation for a gas field with 1,000,000 grid blocks in 15 minutes using multi-reservoir coupling and integrated facility network solver.
  • + 4 more results inside

The speed and flexibility of ECHELON will be the key elements of the subsurface modelling in the energy transition pathway.

Alessandro Caschili, Head of Reservoir Innovative Technologies at Eni

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