Industrial Digital Assets

Computational platforms that integrate technical models, operational data, and business logic to enable confident decision-making under uncertainty.

What Is an Industrial Digital Asset?

An Industrial Digital Asset (IDA) is a computational platform that integrates technical, operational, financial, and risk models into a unified system—enabling you to answer the question: "What action maximizes business value across the asset lifecycle?"

An IDA evolves with your physical asset, simulating thousands of scenarios, linking equipment health to EBITDA impact, and supporting confident action even when conditions are complex.

It integrates:

  • Reliability & Maintainability Models — failure distributions, degradation curves, maintenance effects
  • Process & Control Data — real-time operations, historians, configuration states
  • Market & Contractual Context — price curves, delivery obligations, contract terms

The result: a living system that enables scenario exploration and optimization, serving as a single source of truth across engineering, operations, finance, and strategy.

Core Capabilities

High-Fidelity Technical Models

Built on engineering fundamentals and validated against historical performance, enabling accurate forecasting under varying conditions.

Scenario Exploration Engine

Our MiRO v1 (Minimizer of Operational Risk) framework explores thousands of system configurations to identify optimal operating strategies.

PDEL® Causal Logic

Performance Dependency Elucidation Language maps how component conditions propagate to system-level outcomes, ensuring traceability from sensor to P&L.

Continuous Evolution

Designed to be updated with real operational data, growing more accurate and valuable over time as your asset and operations evolve.

Real-World Application

Large Gas Processing Facility

Challenge: A major facility needed to optimize compressor configurations across dry and wet gas systems, with varying feed compositions, pressure requirements, and maintenance schedules impacting profitability.

IDA Implementation:

  • Modeled all compressor units with full thermodynamic and reliability integration
  • Used MiRO v1 to explore thousands of operating configurations
  • Linked technical performance to market delivery capability and EBITDA impact
  • Enabled evaluation of trade-offs between production targets, costs, and reliability risk

Business Value: Operations teams gained daily decision-support capability, achieving measurable improvements in production efficiency and reducing unplanned maintenance events through data-driven configuration optimization.

Tools & Methods

Software Platforms

  • • Reliability modeling tools (AspenTech Fidelis, custom frameworks)
  • • MiRO v1 optimization engine
  • • PDEL® causal modeling language
  • • Process simulation platforms

Methodologies

  • • Markov state modeling
  • • Multi-variate sensitivity analysis
  • • Integrated physics-statistics frameworks
  • • Uncertainty quantification

Deliverable

An executable decision-support platform used daily by engineering and operations teams—not a static report, but a living tool that supports ongoing value generation.

Ready to Explore an IDA for Your Assets?

Let's discuss how an Industrial Digital Asset can support your decision-making and value generation.