Drill bit optimizer

A method for optimizing a drill bit for a drilling operation, the method comprising:

• training a plurality of machine learning (ML) models with historical drilling data to obtain a corresponding plurality of trained ML models, wherein each of the trained ML models is configured to estimate a drill bit performance metric;
• obtaining drilling operation parameters for the drilling operation, wherein the drilling operation parameters include at least one of drilling parameters, formation parameters, and bottom hole assembly parameters;
• generating drill bit parameters for each of a plurality of potential drill bit configurations;
• inputting the obtained drilling operation parameters and the generated drill bit parameters into the plurality of trained ML models to estimate a corresponding plurality of drill bit performance metrics;
• and
• selecting an optimum drill bit configuration from the set of potential drill bit configurations based on the estimated drill bit performance metrics obtained from the plurality of trained ML models.