Case Study – Santos Ltd.
- SPSS Collaboration and Deployment Services
- SPSS Modeler
- SPSS Statistics
“We are opening up a whole new approach for predictive and prescriptive analytics in oil and gas.”
– Steven Benn, Manager, Exploration and Production Technologies, Santos Ltd.
Saving millions with a predictive asset monitoring and alert system
Santos Ltd. is one of the leading oil and gas producers in the Asia-Pacific region, serving the energy needs of homes, businesses and major industries across Australia and Asia. Santos reports annual revenues of AUD 4 billion (USD 2.9 billion).
When a critical asset fails in one of Santos’ operations, the result can be lost revenues and more time on the road for engineers. Could Santos find a way to identify faults before failures occur?
Santos developed predictive models that ingest data from SCADA-connected assets and many other sources, giving early warning of potential failures and opportunities to improve uptime and production.
By alerting engineers to asset downtime, the analytics solution helps cut travel time, resolve problems faster and boost production output – potentially saving in excess of AUD 10 million each year.
© Copyright IBM Corporation 2015