Pipeline Throughput & Performance Optimization

Challenge

An energy operator needed real-time visibility into flow rate, pressure, and compressor efficiency across segments to cut energy waste and hit throughput targets.

Approach

We integrated SCADA streams into a Delta Lake, applied anomaly detection for pressure drops, and built KPI dashboards for daily variance tracking.

Architecture

Azure Event Hub → Databricks (Delta Live Tables) → Feature tables → Power BI semantic model → Executive and operations dashboards.

Solution Flow

Illustrative only. Exact topology tailored per engagement.

KPIs

Throughput variance vs target
Compressor station efficiency %
Pressure drop alerts
Energy cost per delivered volume

Outcome

15% increase in throughput reliability and 12% energy savings at compressor stations within 90 days of go-live.

Tech

Azure, Databricks, Delta Lake, Power BI, Fabric