Drilling intelligence guidance system for guiding a drill

Abstract

In several aspects, a processor receives a set of parameters characterizing sensor data from a plurality of sensors corresponding to drilling operations of a drill assembly for boring the Earth, and a condition of the drill assembly. The processor selects, by a drill assembly machine learning model executed by the processor, a subset of parameters that are related to the condition of the drill assembly. The drill assembly machine learning model uses an historical record of the set of parameters and a set of conditions of the drill assembly collected over time to determine whether a parameter is related to each condition. The processor applies weights to each parameter of the subset of parameters and weights to different levels of each parameter of the subset of parameters, producing a weighted subset of parameters and outputting the weighted subset of parameters.