Systems and methods for dull grading

A method for evaluating a drill bit, the method comprising:

• capturing a plurality of images of the drill bit that has been used in drilling a subterranean formation, at least some of the plurality of images including time-of-flight images that have been captured by an electronic device, the at least some of the plurality of images including a first distance measured from the electronic device to a first blade of the drill bit using time-of-flight data and a second distance measured from the electronic device to a second blade of the drill bit using the time-of-flight data, wherein the second blade is in the foreground or the background of the first blade and the second distance is different than the first distance;
• outputting the plurality of images to an image processor for:
• generating a digital model of the drill bit based on the plurality of images;
• and
• evaluating the digital model with a processing element programmed to:
• identify each cutter of a plurality of cutters carried by the drill bit;
• differentiating between materials on the drill bit or components thereof;
• distinguish between the first blade and the second blade based on the second distance being different than the first distance;
• and
• determine a condition of at least one cutter of the plurality of cutters;
• and
• receiving the determined condition of the at least one cutter from the image processor.

A system for evaluating cutter wear, the system comprising:

• a computing device having machine readable and executable instructions for:
• receiving, from a requestor, a plurality of images of a drill bit that has been used in drilling a subterranean formation, at least some of the plurality of images including time-of-flight images that have been captured by an electronic device on-site at or near a drill rig;
• generating a digital model of the drill bit based on the plurality of images;
• evaluating the digital model with a computing device programmed to:
• identify each cutter of a plurality of cutters carried by the drill bit;
• differentiating between materials on the drill bit or components thereof;
• determine an original radius of at least one cutter of the plurality of cutters using an unworn or substantially unworn portion of the at least one cutter;
• analyzing the at least one cutter of the drill bit to determine a wear percentage of the at least one cutter by analyzing the at least one cutter to determine a variation between an original shape of the at least one cutter inferred from the original radius of the at least one cutter and a current shape of the at least one cutter;
• and
• determine a condition of the at least one cutter of the plurality of cutters;
• and
• outputting the determined condition of the at least one cutter to the requestor.

A system for evaluating wear of a drill bit, the system comprising:

• a ranging imaging device configured to generate time-of-flight data, the ranging imaging device configured to detect a first distance measured from the ranging imaging device to a first blade of the drill bit using the time-of-flight data and a second distance measured from the electronic device to a second blade of the drill bit using the time-of-flight data, wherein the second blade is in the foreground or the background of the first blade and the second distance is different than the first distance;
• a color camera configured to generate one or more color images;
• one or more orientation sensors configured to determine an orientation of at least one of the ranging imaging device or the color camera;
• a computing device including at least one processing element and machine readable and executable instructions, the machine readable and executable instructions for:
• generating a digital model of the drill bit based on the time-of-flight data generated with the ranging imaging device and the one or more color images generated by the color camera;
• distinguish between the first blade and the second blade based on the second distance being different than the first distance;
• and
• evaluating the digital model with a processing element using one or more machine learning modules by at least differentiating between materials on the drill bit or components thereof.