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Pinpoint failure sources and minimize operational disruptions with real-time analytics.
Identify Issues. Prevent Production Losses.
Gain detailed visibility with on-the-fly simulations and historical playback to strengthen reliability and accelerate problem-solving.
Trace Errors. Enhance Reliability.
Support complex operations with unlimited entry/discharge points, process stages, and flow products—designed to adapt to evolving production realities.
Built to Scale. Ready for Change.
Seamlessly integrated with the Peloton Platform and powered by Microsoft Azure, Peloton RAM enables secure, role-based access and collaboration across teams and locations.
Model Together. Operate Aligned.
Peloton Platform
Peloton RAM
What Sets Peloton RAM Apart
Peloton RAM equips operations and engineering teams with the tools to model system performance, reduce failure risk, and improve decision-making at scale. With dynamic flow modeling, failure diagnostics, and simulation support from Miriam RAM Studio, it helps teams confidently plan, adapt, and optimize complex production systems.
Model and refine discharge points and process stages to optimize flow across diverse configurations.
- Reduce manual adjustments with intelligent, data-driven modeling
- Adjust flow behavior under changing conditions
Trace operational failures across systems and equipment to uncover root causes and prevent recurrence.
- Link downtime to events, equipment, and flow behavior
- Support planning with historical playback
Test operational strategies and maintenance plans to uncover the most resilient, cost-effective path forward.
- Compare alternative designs and repair strategies
- Prepare for partial shutdowns and constrained conditions
Capture the full complexity of your operation with support for redundancy, quality constraints, and processing logic.
- Model entry/discharge points, product storage, and flow dependencies
- Reflect real-world system behavior in your digital model
Bridge the gap between engineering insights and strategic planning with outputs that inform investment, design, and operational decisions across the organization.
- Align engineers, planners, and stakeholders on risk and reliability metrics
- Support long-term investment and maintenance planning with trusted outputs
Ensure accuracy and confidence with built-in logic checks and automatic input verification.
- Prevent simulation errors from flawed data
- Standardize setup across scenarios
Peloton RAM helps operations and engineering teams reduce downtime, allocate resources more effectively, and improve system performance. With trusted outputs and flexible modeling, it supports confident decisions and resilient planning across complex production environments.
Peloton Platform
Peloton RAM
Simulation-Driven Insights, Backed by High-Fidelity Input
Peloton RAM leverages a wide range of operational data to power accurate, scenario-based simulations that reflect the true behavior of complex systems. From planned maintenance schedules to resource availability and product storage constraints, each input is designed to enhance analytical depth and planning confidence.
Peloton RAM supports simulations that factor in:
Built-In Input Validation
Before each simulation, Peloton RAM automatically verifies input logic and parameter consistency to eliminate user error and ensure reliable outputs. This built-in verification ensures modeling consistency and reduces the risk of faulty outputs.
Peloton Platform
Peloton RAM
A Technical Workspace Built for System Modeling
Peloton RAM provides a purpose-built interface designed for engineers and reliability teams who need structure, clarity, and control. From simulation setup to event playback, users can configure complex system logic, analyze failure paths, and compare design options—all within a visually organized, analysis-ready environment.
Peloton Platform
Peloton RAM
Connected Modeling Across the Peloton Platform
Peloton RAM integrates seamlessly within the Peloton ecosystem, aligning with operational data from drilling, completions, and production workflows. By complementing tools like WellView, SiteView, and ProdView, it allows engineering teams to model system behavior with data that reflects real-world conditions, bridging the gap between planning and performance.