Abstract: Method is provided that can include operations for selecting one or more wellbores from a wellbore historical database, retrieving performance data for the one or more wellbores, determining performance indices of the one or more wellbores relative to wellbore depth based on the performance data, determining which of the one or more wellbores performed best at each depth based on the performance indices at each depth for a selected performance criteria, selecting the best performance at each depth from the one or more wellbores, and generating a composite well curve based on the best performance at each depth. A method is provided that can include operations for inputting performance data from multiple wellbores into a machine learning processor, processing the performance data based on a selected performance criteria, and generating an optimized composite well curve along with an optimized set of operational parameters for drilling a future wellbore.