A Nonparametric Approach for Determining NMR Relaxation Distributions

Autor:	Jinsoo Uh, A. Ted Watson
Rok vydání:	2014
Předmět:	Materials science Distribution function Hydrogeology Nuclear magnetic resonance General Chemical Engineering Relaxation (NMR) Nonparametric statistics Experimental data Fluid saturation Porosity Biological system Catalysis Nonparametric regression
Zdroj:	Transport in Porous Media. 105:141-170
ISSN:	1573-1634 0169-3913
Popis:	Nuclear magnetic resonance (NMR) and imaging (MRI) can provide unique information about fluid distributions, flow, transport properties, and morphology within permeable media. The mathematical description of NMR relaxation of fluids in permeable media is one key element used to develop such information. We introduce and evaluate nonparametric regression theory to determine continuous relaxation distribution functions from NMR/MRI experiments. Unlike other methods, ours is based on determining the best estimate of the distribution function from experimental data. Our method is robust and does not require user interventions, so it is particularly valuable for accurately determining fluid distributions from MRI experiments. Such information is essential for determining porosity, permeability, and fluid saturation distributions, as well as permeable media morphologies.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f729fdb16b2a696dc3b6df1ecf0608ae https://doi.org/10.1007/s11242-014-0364-x Zobrazit plný text záznamu Full text from SpringerLink