Innovation drives us to redefine industry standards and enhance operational excellence. Adopting the Industrial Internet of Things (IIoT), we have transformed the way we monitor and maintain essential surface equipment. By utilising real-time data, predictive analytics, and automation we enhance performance, reduce downtime, and improve safety.
Our predictive maintenance system integrates battery-operated sensors across rotating pumps, screw compressors, and reciprocating engines, capturing key operational data such as vibrations, temperature, magnetic flux, RPM, and acoustics. Advanced cloud-based analytics detect anomalies, predict failures, and enable proactive interventions, ensuring seamless operations with minimal disruptions.
The impact has been significant, unplanned downtime has dropped due to early fault detection, maintenance planning is now data-driven, and safety has improved by reducing manual inspections in high-risk areas. Cost savings have also increased through preventive maintenance, cutting expenditure on spare parts and emergency repairs.
With 186 sensors deployed across 105 assets, we have enhanced equipment performance and lifespan, generating projected savings of $0.6 million by preventing production losses and optimising maintenance. By shifting from reactive to predictive maintenance, we are systematically increasing Mean Time Between Failures (MTBF) and improving asset reliability.
This is more than a technological upgrade, it is a leap towards a smarter, more resilient oil and gas industry. Cairn continues to lead in digital innovation, setting new benchmarks in efficiency, safety, and sustainability.
Contributed by Anoushka Ailawadi
