Abstract: Disclosed herein are a method and apparatus for cutter analysis and mapping. In one embodiment, a computer implemented method comprises 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.

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.

Abstract: A method for downhole cutting structure design. The method comprises executing a first computer-simulated drilling by at least one downhole cutting structure of a wellbore into a subsurface formation based on an original data set that includes at least one drilling parameter and at least one downhole cutting structure attribute associated with an actual drilling of the wellbore using the at least one downhole cutting structure into the subsurface formation. The method comprises recursively performing the following operations until a drilling performance threshold is satisfied, changing at least one of the at least one drilling parameter and the at least one downhole cutting structure attribute in the original data set to create a modified data set and executing a second computer-simulated drilling by the at least one downhole cutting structure of the wellbore into the subsurface formation based and the modified data set.

Abstract: A method includes determining a bit design based on a design criterion, determining a cutter design to be mounted on the bit design at a bit design position based on cutter information, wherein the cutter information is based on a historical cutter performance metric of one or more cutters having the cutter design. The method also includes generating a drill bit model based on the bit design and the cutter design and determining that the drill bit model meets the design criterion.

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.