Deterministic version of the multiple point geostatistics simulation/reconstruction method with the simulated/reconstructed values are directly taken from the training images without prior estimation of the conditional
US8682624B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 16, 2011 |
| Grant date | Mar 25, 2014 |
| Priority date | — |
| Expiry date | Aug 25, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01V2210/665
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A method of simulating, reconstructing and scaling digital data sets, in particular images, but not exclusively. The method of the invention is based on a training image that is directly sampled each time a point in the simulation image is to be filled, and does not need the preliminary creation of a data structure storing conditional probabilities, as it is often the case in known multipoint simulation method. Accordingly, the method of the invention is less memory-demanding than conventional methods, and is better suited to simulations including continuous variables. Embodiments regarding the application to reconstruction of partial images and downscaling are also presented.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.