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CASE STUDY

Oil & Gas: Azure IoT for Upstream-Operations Telemetry

An oil & gas major built an Azure-based upstream telemetry platform covering 2,400 wells. Predictive-failure detection up 6× pre-deployment.

May 9, 2026 · 2 min read · By admin
At a glance
6 KEY METRIC
Industry
Energy
Topics
Azure · Cloud Services · Predictive Analytics
Published
May 2026
Headline outcome
6 Predictive-failure detection: 6× pre-deployment

Measured outcomes

What this programme actually delivered.

6

Predictive-failure detection: 6× pre-deployment

38%

Production losses from unexpected failures: down 38%

2,400

2,400 wells on unified telemetry platform

The challenge

An oil & gas major’s 2,400 upstream wells generated telemetry stored in regional historians. Cross-field analytics + predictive failure detection were practically impossible.

What we built

Azure-based unified telemetry platform. Edge-deployed processing for connectivity-limited remote wells. ML models for pump-failure + reservoir anomaly detection. Operational dashboards for field engineers.

Outcomes

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