Eni runs 20-year reservoir forecast in 30 minutes using Stone Ridge Technology's ECHELON 2.0 on NVIDIA GPUs
EniNVIDIA A100 40GB Tensor Core GPUs · NVIDIA V100 Tensor Core GPUs · Stone Ridge Technology ECHELON 2.0
Eni and Stone Ridge Technology (SRT) developed ECHELON 2.0, the first commercial compositional reservoir simulation software designed exclusively to run on NVIDIA GPUs, deployed on Eni's HPC5 supercomputer of 1,820 Dell EMC servers with four NVIDIA V100 Tensor Core GPUs each (7,280 V100 GPUs total). In a test, ECHELON 2.0 ran an 11.2-million-cell compositional model with nine components across a 20-year forecast in 30 minutes using eight NVIDIA A100 40GB GPUs. Eni used the software for deep-water reservoir, offshore oil field, and deep-water gas field simulations, including calibrating a strategic gas field in North Africa by running hundreds of simulations quickly.
Overview
Eni and Stone Ridge Technology (SRT) developed ECHELON 2.0, the first commercial compositional reservoir simulation software designed exclusively to run on NVIDIA GPUs, deployed on Eni's HPC5 supercomputer of 1,820 Dell EMC servers with four NVIDIA V100 Tensor Core GPUs each (7,280 V100 GPUs total). In a test, ECHELON 2.0 ran an 11.2-million-cell compositional model with nine components across a 20-year forecast in 30 minutes using eight NVIDIA A100 40GB GPUs. Eni used the software for deep-water reservoir, offshore oil field, and deep-water gas field simulations, including calibrating a strategic gas field in North Africa by running hundreds of simulations quickly.
The challenge
Multi-core CPU simulators struggle to retain the reservoir detail and complexity needed for accurate risk analysis of increasingly large geological models; reservoir engineers were spending days or weeks on large clusters simulating upscaled reservoir models.
The solution
Stone Ridge Technology (SRT) and Eni developed ECHELON 2.0, the first commercial compositional reservoir simulation software designed exclusively to run on NVIDIA GPUs, deployed on Eni's HPC5 supercomputer of 1,820 Dell EMC servers with four NVIDIA V100 Tensor Core GPUs each (7,280 V100 GPUs total). ECHELON 2.0's compositional formulation ran an 11.2-million-cell model with nine components across a 20-year forecast in 30 minutes using eight NVIDIA A100 40GB GPUs. Eni used the software for deep-water reservoir, offshore oil field, and deep-water gas field simulations, including calibrating a strategic gas field in North Africa by running hundreds of simulations in a short time.
Reported business value
ECHELON's speed, combined with the computational power of the HPC5 GPU cluster in the Eni Green Data Center, allowed Eni's team to better calibrate the reservoir model, introduce all needed geological details, and span relevant uncertainties — fast-tracking the project and tailoring the proper reservoir management strategy while weighing associated risks to reach and maintain the expected gas plateau in due time.
Sources
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