STONE RIDGE TECHNOLOGY
Bel Air, Maryland, United States
STONE RIDGE TECHNOLOGY
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We develop ECHELON software, the world's fastest reservoir simulation tool.
About STONE RIDGE TECHNOLOGY
Stone Ridge Technology (SRT) was founded in Bel Air, Maryland by Dr. Vincent Natoli in 2005. Beginning as a company offering consulting services in high performance computing, Dr. Natoli employed top-tier physicists, computer scientists and applied mathematicians creating a company which became known as having broad expertise in computational science, numerical algorithms, and emerging accelerator technologies such as GPUs. The SRT team set course to create the fastest reservoir simulation software in the world developing codes to take advantage of the performance GPUs offered, an idea which led the entire industry to follow suit. SRT began marketing ECHELON software actively in 2016. In 2018 SRT signed a widely publicized cooperative development agreement with Eni, S.P.A, the Italian energy leader.
Focusing on efficiency, accuracy, and speed, we're transforming reservoir engineering workflows by designing best-in-class reservoir simulation software and experiences rooted in data and technological expertise.
ECHELON Software
The fastest, most scalable reservoir simulator in the world.
ECHELON software—the fastest reservoir simulation tool in the world—retaining precise accuracy and preserving legacy simulator results. Faster reservoir simulation enables reservoir engineers to produce many realizations, address larger models, and use advanced physics. It opens new workflows based on ensemble methodologies for history matching and forecasting that yield increased accuracy and more predictive results.
Description of Services
- Work More Efficiently
Complete projects in minutes and hours not days and weeks.
- Make Better Decisions
Capture heterogeneities with many complex features and eliminate upscaling.
- Spend Less Money
Many realizations of complex and large models with limited hardware.
What we do
The fastest reservoir simulation software in the world
ECHELON software is the only reservoir simulator developed from inception for GPUs, and the new era of massively parallel computing.
- Speed up everything
Save hundreds of hours with a GPU-based simulator
The demand for ultra-fast, scalable reservoir simulation software continues to press forward with higher stakes from deep-ocean drilling, the increasing complexity of unconventional reservoirs, the increased computational requirements of ensemble methodologies, and an overarching desire for a more detailed subsurface description. Massively parallel GPU hardware, modern solver algorithms, and careful implementation are combined in ECHELON software to allow scalable simulation up to billions of cells. This is all accomplished at speeds that enable the practical simulation of hundreds of ensemble realizations of large complex models, all while using far fewer hardware resources than CPU based solutions. Reservoir engineers can develop more accurate, robust and predictive models when the time required for each iteration cycle is reduced by an order of magnitude or more.
- Adaptable and scalable
Easily handle large models with exceptional perfomance
Higher stakes from deep-ocean drilling, increasing complexity from unconventional reservoirs, and an overarching desire for a higher-fidelity subsurface description have led to a demand for reservoir simulators capable of modeling many millions of cells in minutes. ECHELON software easily scales to handle large models while still maintaining it's exceptional performance. Models as large as 1 billion cells have been simulated on as few as 30 nodes in 92 minutes. Higher resolution geo-models offer greater detail and obviate the cumbersome and heuristic upscaling process. They can capture finer geologic detail and allow engineers more accurate, robust and predictive models, leading to better investment decisions.
- Make informed decisions
Obtain a better understanding of subsurfaces
ECHELON software's ability to simulate up to 12 million active cells on a single GPU means that large geo-scale models are divided into fewer and larger computational domains compared to modern CPU based simulators. For example our billion cell calculation split the model over 120 domains mapped to 120 GPUs. Multi-core CPU codes that have been able to run billion cell models do it using thousands of nodes and thus create tens of thousands of domains to map to individual cores. This splintering of the model into huge numbers of domains leads to inefficiencies related to inter-domain data communication. ECHELON ends up using about two orders of magnitude fewer domains than its multi-core competitors for the same calculation.
