Case Study: Santos achieves millions in savings with Presidion predictive asset monitoring

Saving Millions With A Predictive Asset Monitoring And Alert System

Santos, a major oil and gas producer in the Asia-Pacific region, needed a better way to spot equipment faults before failures caused downtime, lost revenue, and increased travel for engineers across its remote asset network. Working with Presidion and predictive analytics tools, Santos looked to turn its IoT and SCADA data into earlier, more actionable maintenance insights.

Presidion helped Santos implement a predictive asset monitoring and alert system that analyzed data from multiple operational sources to forecast failures and prioritize maintenance. The result was highly accurate predictive models, with asset failure forecasts reaching up to 87% accuracy and some models 100% accurate, contributing to more than AUD 10 million in potential annual savings, including AUD 3 million a year from power optimization and AUD 1.1 million in annual savings from improved inhibitor management.

Santos

Steven Benn

Manager