| Literature DB >> 26990450 |
Zijian Jia1, Lizhi Xiao1, Zhizhan Wang2, Guangzhi Liao1, Yan Zhang1, Can Liang1.
Abstract
Nuclear magnetic resonance (NMR) techniques are widely used to identify pure substances and probe protein dynamics. Oil is a complex mixture composed of hydrocarbons, which have a wide range of molecular size distribution. Previous work show that empirical correlations of relaxation times and diffusion coefficients were found for simple alkane mixtures, and also the shape of the relaxation and diffusion distribution functions are related to the composition of the fluids. The 2D NMR is a promising qualitative evaluation method for oil composition. But uncertainty in the interpretation of crude oil indicated further study was required. In this research, the effect of each composition on relaxation distribution functions is analyzed in detail. We also suggest a new method for prediction of the rotational correlation time distribution of crude oil molecules using low field NMR (LF-NMR) relaxation time distributions. A set of down-hole NMR fluid analysis system is independently designed and developed for fluid measurement. We illustrate this with relaxation-relaxation correlation experiments and rotational correlation time distributions on a series of hydrocarbon mixtures that employ our laboratory-designed downhole NMR fluid analyzer. The LF-NMR is a useful tool for detecting oil composition and monitoring oil property changes.Entities:
Keywords: crude oil; low-field NMR; relaxation; rotational correlation time; two-dimensional nuclear magnetic resonance
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Year: 2016 PMID: 26990450 DOI: 10.1002/mrc.4424
Source DB: PubMed Journal: Magn Reson Chem ISSN: 0749-1581 Impact factor: 2.447