Feature detection in seismic data
US12326532B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 7, 2020 |
| Grant date | Jun 10, 2025 |
| Priority date | — |
| Expiry date | Oct 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20101
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A method includes receiving seismic training data comprising a plurality of images each including a plurality of traces, predicting a location of a feature in at least some of the plurality of traces based on a location of an amplitude peak therein, applying labels to the locations, classifying pixels of the plurality of images as representing the feature or not representing the feature, using a semantic segmentation model, adjusting the labels based on the classification of the pixels, training, using the adjusted labels and the seismic training data, a machine-learning model to identify the feature, and identifying the feature in a different seismic data set using the trained machine-learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.