Industry: Oil and Gas
Knowledge Priority: Efficient operations and maintenance
About the Project
NERA is collaborating with Quadrant Energy and a group of Australian SMEs to deploy an army of small multi-sensor devices throughout an oil and gas facility located in Western Australia to create a unique virtual monitoring system that will more efficiently monitor the performance and reliability of plant equipment.
Currently, the task of monitoring a plant’s operating equipment is limited to routine monitoring inspections, which are labour-intensive, costly and inaccurate. To provide a more accurate and efficient monitoring solution of plant equipment and operations, this project will utilise a network of sensors to provide constant monitoring of the operating environment in real time to complement existing monitoring activities.
The network of sensors will measure noise, vibration, temperature and atmospheric pressure and perform edge analytics. The output signals will be collected by a newly installed plant-wide wireless system to a central server that will aggregate the data and send it to a cloud-based analysis and visualisation platform accessible by the control room operator.
Some sensors will possess in-built processing and analytics capability, allowing project partners to capture data from individual pieces of equipment to better protect against unexpected changes in plant conditions. Other devices will have sensing capability and provide bulk data to servers located close to the point of data collection for data processing and analysis.
The project will also work with a number of local enterprises and institutions to implement an analytics platform that can process data and identify key indicators for poor equipment performance or impending failures.
The experience gained from an integrated system has the potential to provide oil and gas operators, and companies in other sectors, with analytical insights without the significant capital investment of upgrading network infrastructure.
By integrating sensors, analytics and visualisation into a real-time early notification system, reliability engineers and maintenance supervisors can make an informed choice whether to deploy field personnel to plant areas with a potential condition change. The aim is that this will result in proactive maintenance and more efficient prevention methods for operating condition failures.
Total Project Cost: $750,000
*Funding excludes GST
Current Status: Contract has been signed and the project has commenced
Start: August 2018
End: November 2019