CPC G06N 3/042 (2023.01) [E21B 10/46 (2013.01); E21B 10/62 (2013.01); E21B 12/02 (2013.01); G06F 30/27 (2020.01); G06N 3/02 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); E21B 4/06 (2013.01); E21B 2200/20 (2020.05); E21B 2200/22 (2020.05)] | 20 Claims |
1. A method, comprising:
obtaining drill bit data from a plurality of data sources through one or more application programming interfaces communicably coupled to a processor circuit, the drill bit data including formation lithology information indicating a formation lithology, a drill bit design and a repair history for the formation lithology including a historical distribution of repairs made to individual cutter positions on drill bits that have features of the drill bit design and that have drilled into formations of the formation lithology;
integrating, in a data integration engine executed on the processor circuit, the drill bit data from each of the plurality of data sources into an integrated dataset;
pre-processing, in a data pre-process engine executed on the processor circuit, the integrated dataset to filter out one or more outlier data points from the integrated dataset;
processing, in the processor circuit, the filtered dataset with a neural network to build a machine learning based model;
processing, in the processor circuit, the machine learning based model to extract one or more features that indicate significant parameters affecting wear on a drill bit;
determining, before drilling a wellbore, a repair type prediction with the machine learning based model based on the extracted one or more features, the repair type prediction indicating a predicted type of repair action for the individual cutter positions on the drill bit if drilled into a formation that has the formation lithology;
generating a repair schedule for performing one or more repair actions for the individual cutter positions based on the predicted type of repair actions;
drilling at least a portion of the wellbore into the formation that has the formation lithology; and
providing, after the drilling, a signal indicating a value of the repair type prediction for facilitating a drill bit operation on a cutter of the drill bit based on the repair type prediction.
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