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ECHELON is the fastest reservoir simulator in the world, vastly outpacing legacy simulators and many times faster than other modern CPU based codes while also retaining the precise accuracy you expect from legacy simulators. Faster simulation enables reservoir engineers to use statistical ensemble methodologies for history matching and multi-realization workflows yielding more accurate and more predictive results.

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Large Models

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 easily scales to handle exceptionally 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, heuristic upscaling process, capturing more geologic detail and developing more accurate, robust and predictive models, leading to better investment decisions.

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Modern Hardware

ECHELON is the only simulator designed from inception to run all computational kernels on powerful GPU hardware. The greater computational density available on GPUs enables ECHELON to run on compact workstations and clusters, simulating up to 96 million active cells per compute node. Today’s leading generation GPUs offer roughly 10x more bandwidth and FLOPS than CPUs and ECHELON alone harnesses that full capability to offer game-changing performance.

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ECHELON uses the industry standard format which allows users to seamlessly plug it into existing workflows. This makes adoption quick and easy with no need for new software training.

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ECHELON offers a high degree of solution accuracy. This is achieved by imposing tight tolerances on material balance errors and carefully controlling numerical errors in the nonlinear solution procedure. Very fast run times are achieved with such high tolerances using physics-based preconditioners rather than compromising on accuracy.

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