As part of Singapore Maritime Institute's (SMI) efforts to support the maritime industry in Singapore, the Asset Integrity & Risk Management (AIM) R&D Programme is established to address industry challenges and develop R&D capabilities in areas relating to offshore asset integrity and risk management in oil & gas exploration and production (E&P). A total research grant amounting to S$6 million has been allocated to promote research through this open thematic grant call for proposals. This call for proposals under the AIM R&D Programme aims to seek proposals involving innovative ideas, approaches and technologies towards improving the safety of offshore E&P activities.
SMI welcomes research proposals from Principal Investigators and researchers from the public sector research performers in Singapore for consideration towards funding. The public sector research performers would include entities such as publicly funded Institutes of Higher Learning and research institutes under the Agency for Science, Technology and Research (A*STAR).
Applicants are strongly encouraged to collaborate with the industry, overseas research partners as well as other eligible IHLs and research institutes. Projects submitted in the identified themes will be viewed and evaluated on a higher priority.
This thrust will focus on simulation & modelling of main failure mechanisms as well as incidents.
- Corrosion modelling
- Simulation of incidents
- Simulation of loading and induced fatigue/stress
Hardware Development & Deployment
Apart from new sensor & system development, this thrust will focus on the customization and optimisation of existing sensors with low hardware overheads.
- New sensor development
- Customization and deployment of existing sensors
- Wireless sensor networks
New Asset Installation
This thrust will focus on simulation of installation techniques, particularly in deep water and associated risk identification and management.
- Simulation of installation techniques
- Risk identification and management
System Level Management
This thrust will focus on the development of integrity assessment models based on possible use of historical data for model refinement.
- Development of integrity assessment models
- Refinement of prediction models based on iterative approach
Interested PIs are advised to contact MI@NTU on their interest in application if they would need assistance in looking for industrial collaborators.
More details can be found on SMI's website here.
All submissions (softcopy + signed hardcopy) must be submitted to RSO by 10 February 2015.
Soft copies should be submitted in both MS Word and PDF formats.
RSO will submit application forms to MI@NTU by 12 February 2015 for endorsement by the ED of MI.
For further enquiries and application details, please contact Ms Keg Peisi at email@example.com.