Predictive Maintenance for Oil & Energy Provider

Sparkhound worked with client leadership and IT teams to significantly improve the predictive equipment maintenance processes that resulted in 80 percent recovery of lost revenue and maintenance costs. The updated process included:

• Updating the static thresholds to be dynamic based on the patterns of the existing telemetries

• Near real-time anomaly detections allowing quicker corrective action

• Establishing a classification system for events before they occur by implementing advanced Artificial Intelligence and Machine Learning models