Numerical Simulation for Subsea Ice Interaction Barriers to Energy Development (SIIBED)

The partner organization, C-CORE, conducts medium- and large-scale experiments on ice fracture. The goal is to estimate the mechanical loads involved in the interaction of icebergs and subsea cables/pipelines. While the ice fracture tests provide the most valuable data, numerical models may help estimate the loads at custom geometries and conditions the test apparatus cannot create. In some cases, numerical models can predict unexpected situations and guide future research.

Application of a novel cryptographic filesystem to high-security domains

Aerial full-motion video, marine systems and space-based earth observation share key characteristics: they involve critical infrastructure, they rely on sensitive information and they require strong data provenance. We have applied cryptographic techniques — derived from both historic security protocols and newer blockchain systems — to create a novel research cryptographic filesystem in a previous Mitacs project, and now we will apply that filesystem to these three problem domains.

Cryptographic filesystem for video integrity

When storing and retrieving large quantities of aerial surveillance video to be used as evidence, it must be possible to validate video as authentic without relying on secret knowledge. Part of the solution to this problem involves a novel combination of cryptography techniques used in blockchains and elsewhere together with computer filesystems, allowing data to be stored in a way that can be easily authenticated.

Development of a model for computational sea ice monitoring - Year Two

The proposed research project focuses on the development of a novel model for the computation of sea ice parameters in near real- time relying on satellite data. The interdisciplinary team will investigate solutions for high performance computing to monitor sea ice and calculate ice parameters with the high spatial resolution. This project includes R&D activities in sea ice modeling, calculating parameters of ocean interaction with sea ice and designing algorithms for satellite data processing and analysis.

Point Cloud processing for Smart Iceberg Management System

Newfoundland oil and gas industry needs unique engineering solutions for offshore structures and operations because of harsh environment. Drifting icebergs, if collide with an offshore structure, may cause serious damage leading to economic losses, ecological problems and loss of human lives. To protect the structure, icebergs can be towed away; however, it is a complicated process, especially when the underwater part of iceberg is hidden. This project contributes to a new technology that can be used onboard of towing vessels to assist captains when taking their decisions regarding towing.

Development of an advanced ice dynamics and deterioration model and a DEM flexural ice failure model

Offshore Newfoundland is an ice-prone environment which holds valuable natural resources. Better understanding of the ice environment and ice characteristics in this region is essential for safe and economical offshore activities.

An Investigation on the Detection of Oil-based Pollutant Spills in Ice-infested Arctic Waters Utilizing Active Microwave Remote Sensing

Climate change continues to shrink the sea ice in the Arctic. Consequently, there is an ever-increasing trend of industrial and shipping activities in the Canadian Arctic. This results into a high risk of accidental or deliberate release of oil-related pollutants in the Arctic waters. Satellite remote sensing is a key component in spill detection as an essential step towards any remediation and cleanup effort. Thus, this project proposes to develop a detection algorithm based on microwave satellite data that can be incorporated into a high-level oil spill alarm system.

Ice thickness measurement using P-Band radar

Sea ice thickness measurement is very important since it can be considered as an indicator of the state of ocean circulation and associated air-sea heat exchange within the Polar Regions. As a result, it can have a significant impact on global heat balance and ocean thermohaline circulation. However, obtaining sea ice thickness in a large area with sufficiently high accuracy and sensitivity is very challenging since it shows a great amount of spatial and temporal variability. The approaches reported in the past have significant restrictions in penetration depth, sensitivity and logistics.

Large-deformation finite element modeling of seabed sediments for offshore oil and gas development

Large amounts of crude oil and natural gas are located deep beneath Canada’s ocean floors. Currently, the offshore oil and gas industry makes a significant contribution to Canadian economy. Proper geotechnical modeling of seabed sediment is very important for safe, economic and reliable development and operation of offshore systems. The proposed research will advance the technologies required in the design of offshore foundations and anchors, subsea pipelines and risers.

Large deformation finite element analysis of as-laid offshore pipelines using Coupled Eulerian-Lagrangian approach

Subsea pipelines play a significant role in transportation of hydrocarbon. In deep water trenching is difficult and therefore pipelines are often laid on the seabed. However, these pipelines could be penetrated into the seabed a fraction of its diameter during installation. Pipelines might experience thermal expansion due to low ambient and high internal temperature during operation cycles which can cause pipelines to expand axially and buckle laterally.