The fastest, most scalable reservoir simulator in the world.
ECHELON software—the fastest reservoir simulation tool in the world—vastly outpaces legacy simulators. It is many times faster than modern CPU-based and hybrid codes while 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.Why ECHELON software is the fastest
Complete projects in minutes and hours not days and weeks.
Capture heterogeneities with many complex features and eliminate upscaling.
Many realizations of complex and large models with limited hardware.
ECHELON software tackles an extremely difficult compositional model. A demonstration of the robustness of ECHELON software.
What industry experts are saying about ECHELON.
“You have all done great work with Echelon. It is a 'gold standard' for cost-effective, high-end flow simulation. I look forward to your future efforts!”
“We have been using ECHELON to evaluate a UK North Sea oil field development project, which has limited appraisal data and a wide range of reservoir uncertainties to consider. The team was required to run multiple development scenarios in order to explore the robustness of different options as part of the Concept Selection process. Our evaluation has shown that ECHELON can reduce our 15-year life-of-field simulation case runs from 7 hours, using an industry-leading black-oil simulator, to 20 minutes while delivering the same results. This offers us substantial time and cost savings.”
“ECHELON is easy to set up and run. Simulation runs that took about an hour to complete are ready now in a couple of minutes.”
“The speed and flexibility of ECHELON will be the key elements for the subsurface modelling in the energy transition pathway.”
“Stone Ridge Technology have really done it, they have done exactly what I wanted to do, they have a super-fast reservoir simulator, which is run on GPUs and is compatible with Eclipse.”
“ECHELON is one of the most disruptive technologies I’ve seen in my career doing simulation. It has proven ability to rapidly run very large, multi-million cell, full-physics models using massive parallelism. For iReservoir, this has led to improved understanding of complex systems by allowing for broad ranging sensitivity analysis in vastly reduced time frames.”
“ECHELON has transformed the way we develop and simulate complex models with many millions of cells. What previously took days or weeks now takes minutes or hours and we are able to retain reservoir detail and complexity by addressing very large models not previously possible.”
“Its [ECHELON's] implementation significantly changed our activities because, thanks to the speed of ECHELON (...) we were able to better calibrate the reservoir model (...) and span all the relevant uncertainties by creating hundreds of simulations in a short time.”
“By running ECHELON on IBM Power Systems, users can achieve faster run-times using a fraction of the hardware. The previous record used more than 700,000 processors in a supercomputer installation that occupies nearly half a football field. Stone Ridge did this calculation on two racks of IBM Power Systems machines that could fit in the space of half a ping-pong table.”
“In very few days our reservoir engineer was able to carry-out thousands of fluid-dynamic simulations, varying many different reservoir parameters, from geological and engineering point of view: a remarkable performance for a full range risk analysis, not achievable with any other available software.”
What we are doing to help improve the reservoir simulation industry.
ECHELON now supports AMD Instinct acceleratorsRead article →
For our first benchmark study on the NVIDIA Hopper architecture, we present ECHELON performance numbers for 10 asset models executing on the NVIDIA Volta, NVIDIA Ampere, and NVIDIA Hopper architectures. The longstanding trend of performance scaling with memory bandwidth continues.Read article →
Leveraging modern GPUs and neural computing libraries, scientists are using deep learning technology to solve differential equations that emerge from a diverse set of physics-based problems. This blog introduces the topic and explores potential applications and limitations of the technology.Read article →