Invention Grant
- Patent Title: Method and system for construction of artificial intelligence model using on-cutter sensing data for predicting well bit performance
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Application No.: US17643194Application Date: 2021-12-08
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Publication No.: US11867055B2Publication Date: 2024-01-09
- Inventor: Guodong Zhan , Arturo Magana-Mora , Timothy Eric Moellendick , Chinthaka P. Gooneratne , Jianhui Xu
- Applicant: SAUDI ARABIAN OIL COMPANY
- Applicant Address: SA Dhahran
- Assignee: SAUDI ARABIAN OIL COMPANY
- Current Assignee: SAUDI ARABIAN OIL COMPANY
- Current Assignee Address: SA Dhahran
- Agency: Osha Bergman Watanabe & Burton LLP
- Main IPC: E21B49/00
- IPC: E21B49/00 ; G05B13/02

Abstract:
A system having an instrumented cutter of a drill bit including an on-cutter sensor for monitoring drilling performance metrics while performing drilling operations based on offset well data and a computing device is disclosed. The computing device executes a model development system configured to use the drilling performance metrics, surface drilling parameters, and characteristics of the instrumented cutter to train a machine learning (ML) model. The trained ML model is used to optimize drilling parameters and predict drill bit performance in a current well.
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