Bandwith extension of geophysical data
US12050295B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 14, 2020 |
| Grant date | Jul 30, 2024 |
| Priority date | — |
| Expiry date | Apr 30, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01V2210/614
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A methodology for extending bandwidth of geophysical data is disclosed. Geophysical data, obtained via a towed streamer, may have significant noise in a certain band (such as less than 4 Hz), rendering the data in the certain band unreliable. To remedy this, geophysical data, from a band that is reliable, may be extended to the certain band, resulting in bandwidth extension. One manner of bandwidth extension comprises using machine learning to generate a machine learning model. Specifically, because bandwidth may be viewed as a sequence, machine learning configured to identify sequences, such as recurrent neural networks, may be used to generate the machine learning model. In particular, machine learning may use a training dataset acquired via ocean bottom nodes in order to generate the machine learning model. After which, the machine learning model may be used to extend the bandwidth of a test dataset acquired via a towed streamer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.