Monte Carlo Simulation Planning

The proposed solution involves a two-step technical approach to model the processing environment:

• Dynamic Digitization of P&IDs: Converting Piping and Instrumentation Diagrams (P&IDs) into a dynamic, functional digital format that maps the logic and flow of the processing plant.
• Layered Monte Carlo Simulation: Applying Monte Carlo statistical simulation tools directly on top of the digitized P&IDs to introduce variability (e.g., uptime, feed grade, equipment reliability) and expose systemic bottlenecks.

• Not a real-time system or a full digital twin.
• Not intended to track every piece of equipment or replicate every sensor point.
• Built for statistical probability analysis and macro-constraint identification.

• Established simulation software remains under review.
• Newer tools are also being evaluated for better fit with high-level risk modeling.
• Vendor approaches may differ in how they digitize plant logic and represent uncertainty.

We are looking for expert feedback on the following:

• Is our proposed method of combining the digital map with the statistical modeling a practical and standard way to approach this type of high-level planning?
• Are there newer software platforms or vendors particularly good at statistical risk modeling that we should consider?
• Does our definition of "high-level" planning provide enough clarity, or do we need to set clearer limits on the amount of detail required (e.g., how much storage space there is, or how often equipment breaks down)?