System specifications
Delivery of defect recognition training data, control and monitoring software
Delivery of the Machine Learning and data fusion system
Delivery of a prototype advanced signal processing electronics module
Delivery of a prototype energy harvesting module
Delivery of a prototype mini robotic pig
Results of modelling and validation of defective and defect-free pipeline samples
Delivery of dual-mode transducer
Delivery of transducer collar
Delivery of the integrated working prototypes of the system
Reported results of the long range ultrasonic guided wave testing on pipelines
iPIM system validated by field trials with a report of the results
Report on iPIM manufacturing model
Report on market opportunity and sales plan model
Report on finance and revenue
Report on promotion and distribution model
Business Plan
Project Website
All work has been completed
After close cooperation with the industry and NDT professional community we derived with a complete Pipeline Monitoring and Preventive maintenance solution that is built as follows:
System Components
External Inspection: Wireless Collar (Node)
Internal Inspection Tool: Pipeline Inspection Gauge (PIG)
The PIG applies the same LRU technology as the external nodes but is deployed inside the pipe. The iPIM-PIG leverages on the ability of LRU to reach areas not accessible to conventional probes; hence, this distinctive advantage will enable the inspection of previously unreachable areas.
Preventive Maintenance: Machine Learning Software
By applying Machine Learning and continuous monitoring of specific areas of the pipeline you can have access to accurate information about the specific conditions of a particular pipeline in certain environmental conditions. This is achieved by monitoring the pipeline over time and fine-tuning the interpretation of the data for accuracy.
The set of products developed in the iPIM project aim to identify corrosion before it impacts the Oil & Gas plant, facilities or remote pipelines with the use of Predictive Corrosion Management.
Predictive Corrosion Management is an Asset Performance Management (APM) extension that combines PIANSO analysis software with LRU Guided Waves installed sensors to continuously monitor pipeline health and manage risk. This powerful package allows operators in upstream, downstream, power, and chemical facilities to monitor at a higher frequency and take more precise measurements anytime, and anywhere. It helps improve safety and eliminates the need to shut down critical processes or deploy field maintenance professionals until necessary.
Market Analysis has helped us identify and target the following markets:
Targeted Markets
The targeted market is that of the Non Destructive Testing and Structural Health Management of the Petroleum Industry for buried, unpigable or hard to reach pipelines in the following sectors:
• Upstream: Oil and Gas, Pumping Stations
• Downstream: Refineries, LNG Plants, Petrochemical
• Power Plants: Nuclear, Conventional
