Online data-driven optimizer of rotating control device used in closed loop drilling

A non-transitory computer readable medium storing instructions for a well, the instructions being executable by a computer processor and comprising functionality for:

• obtaining, using a computer processor, a dynamic input parameter combination for the well, wherein a closed loop drilling operation is configured to be performed on the well using a closed loop drilling system comprising a drill pipe disposed in the well and a rotating control device configured to form a pressure seal around the drill pipe using an element;
• determining, using the computer processor, measurements for the rotating control device using a sensor;
• determining rotating control device estimation methods using a physics-based machine learning algorithm comprising a surrogate-based optimization by acquiring and evaluating a dynamic input parameter combination sample;
• predicting, using the computer processor, a rotating control device wear estimate using the rotating control device estimation methods, the measurements, and the dynamic input parameter combination;
• maximizing, using the computer processor, an instantaneous rate of penetration, while reducing rotating control device failure, to determine an optimized average rate of penetration using the rotating control device wear estimate;
• and
• automatically sending a control signal to the closed loop drilling system to rotate the drill pipe disposed in the well at the optimized average rate of penetration while forming a pressure seal around the rotating drill pipe using the element of the rotating control device when the instantaneous rate of penetration is maximized to determine the optimized average rate of penetration.