Reservoir Simulation Software Blog
Reservoir simulation software news and updates from our team.
Reservoir simulation software news and updates from our team.
Aug 19 2024
ECHELON version 2024.1 features. Contact us today to trial our leading reservoir simulation software.
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Apr 16 2024
Generative AI is poised to play a significant role in Reservoir Engineering workflows.
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Feb 13 2024
Stone Ridge Technology announces the availability of a plug-in for Petrel which allows users to launch ECHELON locally, on a networked cluster, or in the cloud.
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Feb 11 2024
Adopting a new reservoir simulator represents a significant shift for an engineering team, entailing thorough testing, comprehensive analysis, and a rigorous evaluation process. This includes simulating a diverse selection of reservoir models and carefully benchmarking the outcomes, stability, runtime, and costs against an established reference. This blog aims to provide advice for conducting effective comparisons.
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Jan 11 2024
Version 2023.3 is here. Contact us today to trial our leading reservoir simulation software
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Oct 17 2023
ECHELON now supports AMD Instinct accelerators
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Aug 28 2023
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.
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Aug 18 2023
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.
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May 29 2023
Here we post the top questions from our recent webinar with answers from our team.
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Apr 12 2023
Version 2023.1 is here. Contact us today to trial the industry's most powerful software.
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Jan 29 2023
Geologic carbon sequestration is a promising solution to reducing atmospheric CO2 and mitigating climate change. Simulation technology will play a key role in assessing a site's viability and storage capacity. However, conventional reservoir simulators will need to be augmented with new physics to fully address the challenges of carbon storage, and will require exceptional performance to manage the additional computational burden
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Dec 01 2022
Meet Ken Esler, Stone Ridge Technology's CTO
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Dec 01 2022
Computing hardware capability has grown exponentially while software evolution occurs much more slowly, constrained by human effort. The mismatch bestows undue longevity to legacy codes and leads to significant inefficiency and lost productivity. The solution is new software optimally designed for the latest hardware.
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Aug 24 2022
Version 2022.2 is here. To trial ECHELON contact us today!
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Mar 07 2022
Version 2022.1 is here. Contact us today to trial the industry’s most powerful software for subsurface flow simulation.
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Mar 07 2022
Meet Karthik Mukundakrishnan, SRT's Director of Research and Development.
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Feb 25 2022
Surface facility network solvers improve reservoir simulation models by providing crucial back-pressure information for wells to the simulator.
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Dec 13 2021
Our publications and talks, beginning a decade ago in 2011, are marked by seminal papers highlighting the power of this hardware platform for reservoir simulation.
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Aug 05 2021
ECHELON reservoir simulation software can handle complex fluid models in unconventional reservoirs on fine grids while delivering extraordinary performance.
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Jul 08 2021
Meet Leonardo Patacchini, SRT's Regional Director
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Jun 21 2021
The SRT team and our development partners Eni presented talks about ECHELON software version 2.0 during a webinar we hosted recently.
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May 17 2021
ECHELON's GPU-based performance sets a new bar for reservoir simulation software by drastically decreasing compositional model runtimes.
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Mar 08 2021
The SRT team along with our development partners at Eni have been very busy during the last year. Despite the pandemic, we've been focusing on advancing the industry’s most unique and powerful platform for petroleum reservoir simulation.
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Oct 07 2020
As NVIDIA delivers more and more powerful chips, ECHELON reservoir simulation software efficiently produces greater performance.
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Sep 14 2020
Meet Timur Garipov, one of SRT's Senior Computational Scientists
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Jul 22 2020
We answer some of the most frequent questions we get about ECHELON and reservoir simulation software.
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Jun 23 2020
In recent years, the way in which oil and gas companies value and use data in their business has evolved rapidly.
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Jun 09 2020
We searched the web for interesting reservoir simulation software infographics a few months ago and got excited about creating our own, so we did!
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Apr 20 2020
Meet Jim Gilman, a member of SRT's Client Support Team
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Apr 20 2020
Across the world many parents are trying to navigate COVID-19 as businesses and schools close their doors in response to the spread of the coronavirus.
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Mar 27 2020
Eni announced the industrial deployment of ECHELON software, the fully GPU-based reservoir simulator developed by our company, Stone Ridge Technology.
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Mar 27 2020
From the very inception of ECHELON, SRT's goal was to create the fastest reservoir simulator software in the world, using a holistic code base that is executed in its entirety on NVIDIA GPUs.
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Aug 12 2019
The best way to ride the GPU performance wave is with software that was specifically designed and built for GPUs, like ECHELON reservoir simulation software.
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Nov 01 2018
GPU technology is expected to continue to advance at a rapid pace while the reservoir analysis market is expected to grow at a compound annual growth rate of 4% through 2022.
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Oct 08 2018
Over the last few months, I've focused my efforts on recruiting activities which means sifting through hundreds of resumes, searching with...
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Nov 12 2017
Over a period of four years and four different hardware generations, ECHELON software has quadrupled its speed. Moore's law performance scaling on NVIDIA hardware continues with Volta.
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Apr 25 2017
Today, in a joint press release with IBM, Stone Ridge Technology announced the first billion cell reservoir simulation completed entirely on GPUs by ECHELON software.
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Mar 02 2017
ECHELON reservoir simulation software easily tackles the largest models, runs faster and requires a fraction of the hardware footprint needed by CPU software.
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Dec 14 2016
There is a vast and growing performance gap between Intel Xeon chips and NVIDIA GPUs for both memory bound and compute bound kernels.
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Nov 14 2016
ECHELON software provides benchmarks on new GPU architectures because it's the only reservoir simulation software that runs entirely on GPUs.
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Jul 07 2016
The stakes are very high and the HPC hardware market only scratches the surface. The real cost is in the millions of person-hours that will be invested in...
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Apr 27 2016
By embracing dense GPU systems, modern algorithms, and software design approaches, ECHELON software achieves performance levels that significantly outpace the competition.
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Dec 09 2015
An organization can no longer ask a geoscientist, chemist or reservoir engineer to write a modeling and simulation code. Computational Scientists fill the gap.
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Nov 09 2015
The difficulty of parallel programming has led to conspicuous trends in HPC: lagging performance of legacy codes & emergence of the computational scientist.
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Oct 31 2015
It's gratifying to make a computer perform to its specifications. Some of us have made a career of it in the discipline of high performance computing (HPC).
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Oct 27 2015
Stone Ridge Technology's thoughts on the adoption of GPUs & success NVIDIA has attained in promoting them in the last decade.
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Oct 19 2015
The only way to achieve performance on modern processors is through deliberate design that makes effective use of massive on-chip parallelism.
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Oct 16 2015
Many of the codes we use today for business critical decisions were written for computers that no longer exist, leaving a large & growing performance achievement gap.
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Apr 29 2015
I'm very pleased to announce our first of hopefully many annual scientific computing bootcamps aimed at high school students.
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