Cutter analysis and mapping
AssigneeHalliburton Energy Services, Inc.
InventorsWilliam Brian Atkins, Radompon Sungkorn, Michael Stephen Pierce
Life of this patent
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Abstract
A method comprising identifying a cutter on a drill bit based on a drill bit image, assigning a grading value of the cutter based on a classification model of a machine learning system, wherein the classification model is generated based on a set of training cutter images associated with drill bit characteristics indicators, determining a surface parameter based on a surface of the cutter, generating a comparison value based on the surface parameter, and mapping a set of cutter information to the cutter on the drill bit, wherein the set of cutter information comprises the grading value and the comparison value.
Claims10
A method comprising:
- identifying a cutter on a drill bit based on a drill bit image and an object recognition model of a machine learning system, the machine learning system includes one or more neural networks;
- assigning a grading value of the cutter based on a classification model of the machine learning system, wherein a neural network of the one or neural networks is trained using a set of training cutter images associated with drill bit characteristics indicators and a set of training classifications;
- determining a surface parameter based on a surface of the cutter;
- generating a comparison value based on the surface parameter;
- and
- mapping a set of cutter information to the cutter on the drill bit, wherein the set of cutter information comprises the grading value and the comparison value.
Dependencies are inferred from the claim text.