Magnus Nystad is a PhD student at NTNU doing research in NTNU’s Research and Innovation Program in Digital and Automation Solutions for the Oil and Gas Industry. He develops methods for real-time drilling optimization based on an automated test procedure that extracts information about uncertain downhole conditions while drilling. Magnus uses the NTNU Drillbotics rig in his research.
The objective is to develop and qualify an algorithm for ROP optimization. The algorithm is a model-free method that gathers information about the current downhole conditions by automatically performing small tests with the WOB and executing optimization actions based on the test results. The experiments and simulations show the method’s ability to steer the system to the optimum and to handle constraints and noisy data, resulting in safe and efficient drilling at high ROP.
This is a video explaining his project. Here you can find his research paper presented at the International Conference on Offshore Mechanics and Arctic Engineering last June.
The project is sponsored by NTNU. Read more about BRU21 here.
