List of Stone Ridge Echelon Customers
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Since 2010, our global team of researchers has been studying Stone Ridge Echelon customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Stone Ridge Echelon for Reservoir Simulation from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Stone Ridge Echelon for Reservoir Simulation include: Eni, a Italy based Oil, Gas and Chemicals organisation with 32492 employees and revenues of $104.27 billion, Petronas, a Malaysia based Oil, Gas and Chemicals organisation with 52157 employees and revenues of $78.90 billion, Marathon Oil, a United States based Oil, Gas and Chemicals organisation with 1681 employees and revenues of $6.41 billion, iReservoir.com Inc., a United States based Professional Services organisation with 30 employees and revenues of $15.0 million and many others.
Contact us if you need a completed and verified list of companies using Stone Ridge Echelon, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the PLM and Engineering software purchases.
The Stone Ridge Echelon customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of PLM and Engineering software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Eni | Oil, Gas and Chemicals | 32492 | $104.3B | Italy | Stone Ridge Technology | Stone Ridge Echelon | Reservoir Simulation | 2015 | n/a |
In 2015, Eni collaborated with Stone Ridge Technology to develop Stone Ridge Echelon, a new reservoir simulator. Stone Ridge Echelon was advanced under sponsorship from Eni's digital department and scoped for the Reservoir Simulation category to provide a robust and reliable simulation capability for upstream subsurface engineering.
The implementation concentrated on core Reservoir Simulation functionality typical for the category, including numerical multiphase flow solvers, coupling between geological grids and flow models, well and production modeling, and support for history matching and uncertainty analysis. Development work with Stone Ridge Technology focused on engineering a stable simulation kernel, establishing configuration and testing processes, and positioning the application for use by reservoir engineering teams within Eni's upstream workflows, with governance and project sponsorship retained by the digital department.
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iReservoir.com Inc. | Professional Services | 30 | $15M | United States | Stone Ridge Technology | Stone Ridge Echelon | Reservoir Simulation | 2014 | n/a |
In 2014, iReservoir.com Inc. implemented Stone Ridge Echelon for Reservoir Simulation. The deployment introduced a GPU-native simulator into the firm’s technical toolset to support large scale high performance reservoir simulation workloads.
Stone Ridge Echelon was provisioned for fine-grained parallelism targeting GPUs, delivering a flowsim engine built for high throughput compute. The implementation emphasizes GPU acceleration and parallel compute architecture, and the Stone Ridge Echelon flow simulation capability has demonstrated scaling to very large systems with 100 million flowsim cells in some cases without upscaling. Performance benchmarks cited with the deployment report runtimes typically between 10x to 20x faster than leading commercial simulators.
Operationally the solution was adopted into reservoir engineering workflows to run large-scale numerical models and scenario sweeps, supporting subsurface modeling and production forecasting functions. The iReservoir implementation focused governance on model versioning and simulation run management to enable iterative engineering analysis, with simulation workloads executed on GPU-accelerated compute resources. Stone Ridge Echelon for Reservoir Simulation is referenced directly in technical documentation as the core flow simulation engine used by the company.
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Marathon Oil | Oil, Gas and Chemicals | 1681 | $6.4B | United States | Stone Ridge Technology | Stone Ridge Echelon | Reservoir Simulation | 2015 | n/a |
In 2015 Marathon Oil implemented Stone Ridge Echelon, a Reservoir Simulation application, to support reservoir engineering and subsurface modeling workflows. Stone Ridge Echelon was deployed as a GPU‑based, high‑performance reservoir simulator with in‑house support provided by Marathon Oil reservoir engineers, emphasizing numerical solver throughput, model input handling, run orchestration, and post processing for multiphase flow simulation.
Operational coverage focused on reservoir engineering and subsurface teams, with an embedded in‑house support reservoir engineer responsible for operating models, validating simulation runs, and coordinating technical requirements. That engineer worked directly with the Stone Ridge development team to recognize and document missing key features, creating a feedback loop that informed product configuration, model validation practices, run management, and feature prioritization within Marathon Oil’s reservoir simulation governance.
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Oil, Gas and Chemicals | 52157 | $78.9B | Malaysia | Stone Ridge Technology | Stone Ridge Echelon | Reservoir Simulation | 2018 | n/a |
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Buyer Intent: Companies Evaluating Stone Ridge Echelon
- SLB, formerly ChampionX, a United States based Professional Services organization with 111000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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