Method and apparatus for prediction control in drilling dynamics using neural networks
US6732052B2 · kind B2 · utility
176Cited by
9References
25Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Sep 28, 2001 |
| Grant date | May 4, 2004 |
| Priority date | — |
| Expiry date | Sep 28, 2021 |
Classification
- Technology area (CPC E)Fixed Constructions
- CPC primaryE21B2200/22
- WIPO fieldCivil engineering
- WIPO sectorOther fields
Abstract
The present invention provides a drilling system that utilizes a neural network for predictive control of drilling operations. A downhole processor controls the operation of the various devices in a bottom hole assembly to effect changes to drilling parameters and drilling direction to autonomously optimize the drilling effectiveness. The neural network iteratively updates a prediction model of the drilling operations and provides recommendations for drilling corrections to a drilling operator.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.