Quantitative discrimination of water and hydrocarbons in porous media by magnetization prepared centric-scan SPRITE

Li, Linqing; Marica, Florea; Chen, Quan; MacMillan, Bryce; Balcom, Bruce J.

doi:10.1016/j.jmr.2007.03.008

Cited by 18 publications

(14 citation statements)

References 29 publications

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“…Experimental and analysis methods have been developed to resolve spatial distributions of fundamental properties for describing flow that are unavailable by any other means. These include porosity (Watson et al 2002;Fantazzini et al 2004;Marica et al 2006), permeability Watson 2011, 2013), fluid saturations (Chen et al 1993;Davies et al 1994;Li et al 2007), and fluid velocities (Chang and Watson 1999). Equipment used to conduct experiments in the field normally employs much smaller magnetic fields and more limited radio-frequency controls, and they lack the means to pulse magnetic-field gradients.…”

Section: Introductionmentioning

confidence: 99%

A Nonparametric Approach for Determining NMR Relaxation Distributions

Watson

2014

Transp Porous Med

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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.

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Section: Introductionmentioning

confidence: 99%

A Nonparametric Approach for Determining NMR Relaxation Distributions

Watson

2014

Transp Porous Med

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“…For the same reason that CTI is not sensitive to field inhomogeneity, CTI suffers from the disadvantage of not being able to distinguish between spin species with different chemical shifts (although it can chemically differentiate based on different molecular dynamics [9,10]). This contrasts with the multitude of chemical shift imaging methods [11] that are implemented with other MRI modulation schemes.…”

Section: Introductionmentioning

confidence: 99%

Constant-time chemical-shift selective imaging

Giesecke¹,

Dvinskikh²,

Furó³

2013

Journal of Magnetic Resonance

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“…The displacement of spins occurs without T 2 weighting during the z-storage interval of the STE pulse sequence. SPRITE is largely immune to time-evolution effects resulting from background gradients, paramagnetic impurities and chemical shift [19,20,22,[24][25][26][27][28]. Quantitative measurements of 2-D velocity and permeability in model porous materials and sandstone core samples have been reported [22,23].…”

Section: Introductionmentioning

confidence: 99%