Life Prediction and Asset management
his research complemented the work on coatings and cathodic protection focussing on the development of improved pipeline condition monitoring (PCM) systems and sensors.
The research reviewed, evaluated and verified a number of technologies potentially suitable for monitoring of pipeline integrity at critical pipeline sections. This led to the design of two new sensors / probes by Deakin researchers. The first sensor can monitor three major ‘worst-case scenario’ pipeline safety and durability hazards: CP excursions due to stray current influences, cathodic disbondment of pipeline coatings, and corrosion under disbonded coatings. The sensor has been tested in the field on a number of locations in Victoria and forms the basis for new commercial integrity solutions. The second sensor can be used for detecting the location and size of coating defects, as well as CP efficiency at such defects, under HDD pipeline conditions.
Life Prediction and Asset Management
- RP2-04 - Life Prediction and Asset Management - Completed
- RP2-07A - Benchmarking Pipeline Corrosion for Life Prediction - In Progress
- RP2-07B - Computational Life Prediction – Completed*
- RP2-07C - Pipeline Health Monitoring and Life Prediction - In Progress
- RP2-07D - Pipeline Life Prediction by Neural Networks - In Progress
- RP6.2-01 - Lightning Damage of Energy Pipelines - In Progress
