Aboveground Storage Tank (AST) testing using statistical approach - AB-035
Preferred Disciplines: Master or better in Math / Computer Science
Project length: 4-6 months (1 unit)
Desired start date: ASAP – company is ready to start immediately
Location: Airdrie, Alberta
No. of Positions: 1
Preferences: Language: no preference
National fleet of service technicians working coast to coast to coast. Servicing hundreds of thousands of assets across thousands of locations for hundreds of customers.
Using sensitive pressure transducers permanently attached to ASTs, polling data at regular intervals to establish product movements, product stability and ultimately leak detection.
- When testing ASTs temperature data is also collected / available in near real-time
- Pressure transducers are used for measuring water column in the AST and compared in real time to atmospheric changes
- Additionally lunar gravitational pull is calculated and compensated for by tracking GPS and lunar cycle data
Background and required skills
- Objective is to identify better statistical methods for analysing data sources to detect leaks in ASTs
- Build alternative to current API 653 standard which is proven inadequate for preventing AST related environmental incidents
- Build alternative to one-time precision testing method
- Potentially learning model to map AST shell dynamics and more accurately communicate product activity over time
- Rapid Experimental Development
- Many Iterations and Revisions
Expertise and Skills Needed:
- Deep learning techniques / understanding
- Aoftware development
- Atatistical analysis
- All work is done on Ubuntu / Linux computers and servers
For more info or to apply to this applied research position, please
- Check your eligibility and find more information about open projects.
- Complete this webform. You will be asked to upload your CV. Remember to indicate the title of the project(s) you are interested in and obtain your professor’s approval to proceed!
Interested students need to get the approval from their supervisor and send their CV along with a link to their supervisor’s university webpage by applying through the webform or directly to Oba Harding at, oharding(a)mitacs.ca.