My main projects were undertaken with the Satellite Communications and Data Innovation teams. I was tasked with testing the satcom link’s cyberattack resilience through devising a suite of DoS attack scripts, and to design and develop an algorithm that would take an ROV magnetometer system’s signal data from a pipeline survey and return field joint locations. Furthermore, I had a small project with the AI/ML team, developing a machine learning model for automatic boulder detection.
I was the first to contribute towards these projects, with two of them brought about because of client request/need. For the signal processing project, OI was approached by a client who owned an old, buried pipeline. The algorithm I engineered found over 96% of the expected quantity of field joints, making me confident that the project will be continued/steered in my suggested direction. Boulder detection also plays a significant role in informing clients’ operational planning/decision-making, rendering machine learning automation highly sought-after. I was told that my work will continue to be built on, and my contributions were even mentioned in the summer company-wide tech update! Hopefully, my work in designing and developing these products will result in both becoming marketed to clients in the long-term.
