Field operations system with filter
US11674375B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2018 |
| Grant date | Jun 13, 2023 |
| Priority date | — |
| Expiry date | Apr 1, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T13/80
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method can include training a deep neural network to generate a trained deep neural network where the trained deep neural network represents functions of a nonlinear Kalman filter that represents a dynamic system of equipment and environment via an internal state vector of the dynamic system; generating a base internal state vector, that corresponds to a pre-defined operational procedure, using the trained deep neural network; receiving operation data from the equipment responsive to operation in the environment; generating an internal state vector using the operation data and the trained deep neural network; and comparing at least the internal state vector to at least the base internal state vector.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.