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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12141960 B1

PDFFull Text
Date of Patent:
Nov. 12, 2024

Filed:

Jun. 10, 2019

Cutter analysis and mapping

Applicant:

Halliburton Energy Services, Inc., Houston, TX (US);

Inventors:

William Brian Atkins, Houston, TX (US);

Radompon Sungkorn, Katy, TX (US);

Michael Stephen Pierce, Spring, TX (US);

Assignee:

Halliburton Energy Services, Inc., Houston, TX (US);

Attorney:

DeLizio, Peacock, Lewin & Guerra, LLP

Primary Examiner:

Matthew C Bella

Assistant Examiner:

Dennis Rosario

Int. Cl.
CPC ...
G06T 7/00 (2017.01); E21B 10/12 (2006.01); E21B 10/567 (2006.01); E21B 12/02 (2006.01); G01N 21/88 (2006.01); G01N 21/956 (2006.01); G01N 29/44 (2006.01); G05B 23/02 (2006.01); G06F 18/241 (2023.01); G06N 3/02 (2006.01); G06N 20/00 (2019.01); G06T 7/12 (2017.01); G06V 10/26 (2022.01); G06V 10/44 (2022.01); G06V 10/70 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/80 (2022.01); E21B 10/42 (2006.01);
U.S. Cl.
CPC ...
G06T 7/001 (2013.01); E21B 10/12 (2013.01); E21B 10/567 (2013.01); G01N 21/8803 (2013.01); G01N 29/4418 (2013.01); G06F 18/241 (2023.01); G06N 3/02 (2013.01); G06N 20/00 (2019.01); G06T 7/0004 (2013.01); G06T 7/0008 (2013.01); G06T 7/12 (2017.01); G06V 10/26 (2022.01); G06V 10/454 (2022.01); G06V 10/70 (2022.01); G06V 10/764 (2022.01); G06V 10/768 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/80 (2022.01); E21B 10/42 (2013.01); E21B 12/02 (2013.01); E21B 2200/20 (2020.05); E21B 2200/22 (2020.05); G01N 2021/8854 (2013.01); G01N 2021/888 (2013.01); G01N 2021/95615 (2013.01); G01N 21/95684 (2013.01); G05B 23/0283 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30164 (2013.01); G06V 2201/06 (2022.01);
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.

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