The UiS Team (from left to right): Dr. Dan Sui (academic supervisor), Ali Tahir, Fazlul Haque, Akber Hossain, Reynel Villabona Gonzalez, Alina Shashel, Miguel Fernández Berrocal, Emre Gocmen, Muhammad Usama
Congratulations to the team of students from the University of Stavanger as the winning team for Group A of the 2021-2022 Drillbotics® competition this year. Led by Miguel Berrocal, the team created a model of a full-scale rig to drill a directional well through multiple targets. Teams were given the targets immediately before the start of the contest and had to autonomously calculate the optimum well path. UiS included several modules within their model with the following components in each module:
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- Top model – Torque & Drag
- Top model – Bottom Hole Pressure
- ROP – Formation-based modeling
- ROP non-linear constrained optimization
- RSS Simulator Trajectory control using Reinforcement Learning.
- Reinforcement Learning : MPD Optimization
- Data analytics and preprocessing
- Formation classification
