Oil & Gas

AI That Keeps Energy Flowing

goal

Challenge Faced

Energy providers and oil & gas companies face unplanned outages due to equipment failures in turbines, rigs, and refineries. Traditional maintenance is reactive and costly, often leading to downtime worth millions.

solution

Our Solution

We implemented AI-powered predictive maintenance systems that analyze sensor data to detect anomalies and forecast failures before they occur.

Tools we used

Unreal Engine

Approach

Step-by-Step Workflow

Step 1

Collect IoT sensor data from turbines, pumps, and rigs.

Step 2

AI models detect patterns and anomalies in operations.

Step 3

Predict potential failures and suggest maintenance windows.

Step 4

Provide dashboards for operators with actionable insights.

Quantifiable Benefits

Reduction in equipment downtime
%
Lower maintenance costs
0 %
Longer asset lifecycle
%

Who’s Using This

Shell predictive analytics in refineries

Innovation 1

GE Digital in turbine monitoring

Innovation-2

Siemens Energy AI-based maintenance

Private Surgical Training Institutes

Why It Matters

Proactive maintenance saves millions, ensures worker safety, and strengthens energy reliability.

case studies

Real Results. Real Impact.

See how these use cases helped industry leaders transform operations with AI & XR.

Scroll to Top