Methods and systems employing NMR-based prediction of pore throat size distributions
US10324222B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 26, 2015 |
| Grant date | Jun 18, 2019 |
| Priority date | — |
| Expiry date | Feb 26, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N15/088
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Systems, methods, and software for predicting a pore throat size distribution are described. A representative method includes obtaining a nuclear magnetic resonance (NMR) relaxation-time distribution data set. The method also includes training a radial basis function (RBF) model based on the NMR relaxation-time distribution data set and a measured pore throat size distribution data set. The method also includes obtaining a subsequent NMR relaxation-time distribution data set. The method also includes employing the trained RBF model to predict a pore throat size distribution data set based at least in part on the subsequent NMR relaxation-time distribution data set. The method also includes storing or displaying a predicted pore throat size distribution corresponding to the predicted pore throat size distribution data set. The predicted pore throat size distribution is associated with a rock sample or subsurface formation volume.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.