Method and system for construction of artificial intelligence model using on-cutter sensing data for predicting well bit performance
US11867055B2 · kind B2 · utility
1Cited by
5References
14Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Dec 8, 2021 |
| Grant date | Jan 9, 2024 |
| Priority date | — |
| Expiry date | Apr 15, 2042 |
Classification
- Technology area (CPC E)Fixed Constructions
- CPC primaryE21B2200/22
- WIPO fieldCivil engineering
- WIPO sectorOther fields
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.