4D Midstream Digital Twin — research

A spatiotemporal digital-twin demonstration of a fictional 255 km products corridor. Pressure, flow, temperature and inventory evolve through space and time; synthetic sensors observe the system; the twin's expectation, residuals, evidence-based risk, localisation, prediction and simulation-only counterfactual futures are all derived from one deterministic trajectory. Open the live twin →

What it demonstrates

• Observed ≠ expected ≠ estimated. Every sensor record carries observed value, twin expectation, residual, normal residual scale and a data-quality flag.
• Evidence, not alarms. Seven evidence channels form a simulated anomaly score; a synthetic loss is distinguished from pressure-sensor drift by competing hypotheses.
• Space × time. A heatmap of km against time shows the disturbance spreading from its origin.
• Counterfactual futures. Four simulation-only branches start from the identical estimated state. Nothing is executed on any system.
• Honesty. The hydraulic model is a simplified 1-D demonstration; the score is not a probability; limitations are a first-class panel.

Reports