Cutter analysis and mapping
AssigneeHalliburton Energy Services, Inc.
InventorsWilliam Brian Atkins, Radompon Sungkorn, Michael Stephen Pierce
Life of this patent
Estimating the term…
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.
Claims20
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.
A method comprising:
- acquiring a training set of images, wherein the training set of images comprise a set of images of cutters;
- and
- training a machine learning system using the training set of images, wherein the machine learning system comprises a set of weights corresponding to one or more nodes of a neural network of the machine learning system, and wherein the machine learning system provides an output representing whether an image includes a visual representation of a cutter.
An apparatus comprising:
- a processor;
- and
- a machine-readable medium having program code executable by the processor to cause the apparatus to,
- identify a cutter on a drill bit based on a drill bit image using a machine learning system,
- determine a surface parameter based on a surface of the cutter,
- generate a comparison value based on the surface parameter, and
- generate a drill bit model comprising an indicator for a representation of the cutter on the drill bit model, wherein the indicator corresponds with the comparison value, and wherein the indicator corresponds with a location of the cutter on the drill bit.
Dependencies are inferred from the claim text.