IBM
Case Studies
Santos: Saving millions with a predictive asset monitoring and alert system
Overview
Santos: Saving millions with a predictive asset monitoring and alert systemIBM |
Analytics & Modeling - Predictive Analytics | |
Oil & Gas | |
Logistics & Transportation Maintenance | |
Predictive Maintenance Remote Asset Management | |
Data Science Services | |
Operational Impact
Optimized maintenance scheduling and use of materials, reducing costs. | |
Improved safety by cutting the time engineers spend in remote locations and traveling. | |
Enabled early alerts when corrosion inhibitor tanks are about to run dry, and when pumps are operating abnormally. | |
Quantitative Benefit
Potential annual savings of AUD 10 million by increasing production uptime. | |
Switched to batteries costing AUD 2,000, which should last up to four years, from batteries that cost AUD 5,000 each and lasted about 18 months to two years. | |
Potential annual savings of AUD 1.1 million by injecting inhibitor periodically rather than keeping the pumps running continuously. | |