Small-size NMR Spectrometer for Express Control of Liquid Media State

Давыдов, В. В.; Dudkin, V. I.; Vysoczky, M. G.; Myazin, N. S.

doi:10.1007/s00723-020-01207-z

Cited by 6 publications

(1 citation statement)

References 21 publications

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“…The modification of the spin Hamiltonian plays an essential role in many applications of one-dimensional NMR spectroscopy. At present, the simplification of spectra or an increase in their information content with the help of spin decoupling, coherent averaging by multi-pulse sequences, rotation of samples, or partial orientation in liquid crystal solvents has become widespread [24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Qualitative and Quantitative Analysis of Heavy Crude Oil Samples and Their SARA Fractions with 13C Nuclear Magnetic Resonance

et al. 2020

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Nuclear magnetic resonance (NMR) approaches have unique advantages in the analysis of crude oil because they are non-destructive and provide information on chemical functional groups. Nevertheless, the correctness and effectiveness of NMR techniques for determining saturates, aromatics, resins, and asphaltenes (SARA analysis) without oil fractioning are still not clear. In this work we compared the measurements and analysis of high-resolution 13C NMR spectra in B0 ≈ 16.5 T (NMR frequency of 175 MHz) with the results of SARA fractioning for four various heavy oil samples with viscosities ranging from 100 to 50,000 mPa·s. The presence of all major hydrocarbon components both in crude oil and in each of its fractions was established quantitatively using NMR spectroscopy. Contribution of SARA fractions in the aliphatic (10–60 ppm) and aromatic (110–160 ppm) areas of the 13C NMR spectra were identified. Quantitative fractions of aromatic molecules and oil functional groups were determined. Aromaticity factor and the mean length of the hydrocarbon chain were estimated. The obtained results show the feasibility of 13C NMR spectroscopy for the express analysis of oil from physical properties to the composition of functional groups to follow oil treatment processes.

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Section: Introductionmentioning

confidence: 99%