Facilitating hydrocarbon exploration and extraction by applying a machine-learning model to seismic data
US11428835B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 23, 2020 |
| Grant date | Aug 30, 2022 |
| Priority date | — |
| Expiry date | May 9, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Hydrocarbon exploration and extraction can be facilitated using machine-learning models. For example, a system described herein can receive seismic data indicating locations of geological bodies in a target area of a subterranean formation. The system can provide the seismic data as input to a trained machine-learning model for determining whether the target area of the subterranean formation includes one or more types of geological bodies. The system can receive an output from the trained machine-learning model indicating whether or not the target area of the subterranean formation includes the one or more types of geological bodies. The system can then execute one or more processing operations for facilitating hydrocarbon exploration or extraction based on the seismic data and the output from the trained machine-learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.