Study on algorithms of low SNR inversion of T ^sub 2^ spectrum in NMR
Guardado en:
| Publicado en: | Applied Geophysics vol. 8, no. 3 (Sep 2011), p. 233 |
|---|---|
| Autor principal: | |
| Otros Autores: | , , , |
| Publicado: |
Springer Nature B.V.
|
| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Resumen: | The method of regularization factor selection determines stability and accuracy of the regularization method. A formula of regularization factor was proposed by analyzing the relationship between the improved SVD and regularization method. The improved SVD algorithm and regularization method could adapt to low SNR. The regularization method is better than the improved SVD in the case that SNR is below 30 and the improved SVD is better than the regularization method when SNR is higher than 30. The regularization method with the regularization factor proposed in this paper can be better applied into low SNR (5<SNR) NMR logging. The numerical simulations and real NMR data process results indicated that the improved SVD algorithm and regularization method could adapt to the low signal to noise ratio and reduce the amount of computation greatly. These algorithms can be applied in NMR logging.[PUBLICATION ABSTRACT] |
|---|---|
| ISSN: | 1672-7975 1993-0658 |
| DOI: | 10.1007/s11770-011-0294-0 |
| Fuente: | Science Database |