Predictive Automatic Corrosion Management (PACMAN)
Managing offshore corrosion is a subject that is heavily regulated and combined with several industry standards that must be followed to ensure the structure integrity of the assets. Yet, whilst, and perhaps even because, of those regulations, the current process of corrosion management for offshore assets remains time consuming, unstructured, inefficient, and rather subjective.
The PACMAN project develops and demonstrates the application of predictive corrosion management. The driver in this project is to drastically reduce the number of manual hours, which today makes corrosion detection too time consuming and inefficient. The tools for doing this are: automatic position tagging, improved corrosion detection through more advanced camera technology, improved machine learning methods for visual detection of corrosion in 2D images and automated transfer of 2D image corrosion findings to a 3D interpretation for more efficient handling of these corrosion findings. All of these tools are used in the predictive corrosion management. Essentially, predictive corrosion management is about severity classification of the found corrosion.
The project involves the development and maturement of an automatic corrosion detection and prediction program. The program should then via AI and machine learning be capable of conducting autonomous corrosion predictions based on numerous inputs, be that in terms of images or specific sensor technology.
The project is parted into 8 work packages, where the main technical development is in work package 1 Position technology, work package 2 Corrosion detection technologies, work package 4 Predictive methods and classification and work package 5 Software architecture and infrastructure.
Semco Maritime has already been lead on a previous project, ACM (Automatic Corrosion Management), where a proof-of-concept corrosion detection program has been developed. It is the main goal of this project to 1) mature the proof-of-concept program to a higher technological readiness level, TRL, and 2) expand and continue to develop on already identified key applications.
Within the project, the whole value chain is represented. Semco Maritime is the lead and supplier of the solution, AAU performs positioning technologies, IPU performs detection, prediction and 3D imaging software, MM Survey perform imaging and data storing platform, and TREFOR El-net is the end-customer. Therefore, Semco Maritime is responsible for defining the new, sustainable, and digitalized process for handling corrosion in the future whereas IPU, MM Survey and TRFOR will be consulting towards a value-adding solution
Key figures
Category
Participants
| Partner | Subsidy | Auto financing |
|---|---|---|
| SEMCO Maritime | 1,10 mio. DKK | 1,66 mio. DKK |
| IPU | 3,59 mio. DKK | 2,39 mio. DKK |
| Aalborg Universitet (Fredrik Bajers Vej) | 2,67 mio. DKK | 0,30 mio. DKK |
| MM SURVEY ApS | 1,77 mio. DKK | 1,18 mio. DKK |
| Energy Cluster Denmark | 0,52 mio. DKK | 0,35 mio. DKK |
| TREFOR El-net | 0,12 mio. DKK | 0,18 mio. DKK |
Contact
Esbjerg Brygge 30
6700 Esbjerg
Tlf.: +45 30 16 66 57