Invention Grant
- Patent Title: Drill bit cutter evaluation methods and systems
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Application No.: US17594161Application Date: 2019-06-10
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Publication No.: US12030150B2Publication Date: 2024-07-09
- Inventor: William Brian Atkins , Jose Nestor Quiroz
- Applicant: Halliburton Energy Services, Inc.
- Applicant Address: US TX Houston
- Assignee: Halliburton Energy Services, Inc.
- Current Assignee: Halliburton Energy Services, Inc.
- Current Assignee Address: US TX Houston
- Agency: DeLizio, Peacock, Lewin & Guerra, LLP
- International Application: PCT/US2019/036353 2019.06.10
- International Announcement: WO2020/251535A 2020.12.17
- Date entered country: 2021-10-05
- Main IPC: G06N20/00
- IPC: G06N20/00 ; B23Q17/09 ; B23Q17/24

Abstract:
A method includes acquiring an image of a cutter on a drill bit, determining a cutter dull condition based on the image of the cutter using a machine-learning method, wherein the machine-learning method is trained using a set of training images and a set of known cutter dull conditions, wherein each of the set of known cutter dull conditions is associated with one or more of a set of cutters depicted in the set of training images and determining a cutter degradation severity based the image of the cutter. The method also includes generating bit modification instructions based the cutter dull condition and the cutter degradation severity.
Public/Granted literature
- US20220168862A1 CUTTER DULL EVALUATION Public/Granted day:2022-06-02
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