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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of Stone Ridge Echelon Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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.
Oil, Gas and Chemicals 52157 $78.9B Malaysia Stone Ridge Technology Stone Ridge Echelon Reservoir Simulation 2018 n/a
Showing 1 to 4 of 4 entries

Buyer Intent: Companies Evaluating Stone Ridge Echelon

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Stone Ridge Echelon. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Stone Ridge Echelon for Reservoir Simulation include:

  1. SLB, formerly ChampionX, a United States based Professional Services organization with 111000 Employees

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FAQ - APPS RUN THE WORLD Stone Ridge Echelon Coverage

Stone Ridge Echelon is a Reservoir Simulation solution from Stone Ridge Technology.

Companies worldwide use Stone Ridge Echelon, from small firms to large enterprises across 21+ industries.

Organizations such as Eni, Petronas, Marathon Oil and iReservoir.com Inc. are recorded users of Stone Ridge Echelon for Reservoir Simulation.

Companies using Stone Ridge Echelon are most concentrated in Oil, Gas and Chemicals and Professional Services, with adoption spanning over 21 industries.

Companies using Stone Ridge Echelon are most concentrated in Italy, Malaysia and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Stone Ridge Echelon across Americas, EMEA, and APAC.

Companies using Stone Ridge Echelon range from small businesses with 0-100 employees - 25%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 25%, and global enterprises with 10,000+ employees - 50%.

Customers of Stone Ridge Echelon include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Stone Ridge Echelon customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Reservoir Simulation.