Studies on crude oil-water biphasic mixtures by low-field NMR
Low‐field 1H NMR was used in this work for the analysis of mixtures involving crude oils and water. CPMG experiments were performed to determine the transverse relaxation time (T2) distribution curves, which were computed by the inverse Laplace transform of the echo decay data. The instrument's...
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Veröffentlicht in: | Magnetic resonance in chemistry 2012-02, Vol.50 (2), p.85-88 |
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Zusammenfassung: | Low‐field 1H NMR was used in this work for the analysis of mixtures involving crude oils and water. CPMG experiments were performed to determine the transverse relaxation time (T2) distribution curves, which were computed by the inverse Laplace transform of the echo decay data. The instrument's ability of quantifying water and petroleum in biphasic mixtures following different methodologies was tested. For mixtures between deionized water and petroleum, one achieved excellent results, with root mean squared error of cross‐validation (RMSECV) of 0.8% for a regression between the water content (wt %) and the relative area of the water peak in the T2 distribution curve, or a standard deviation of 0.9% for the relationship between the water content and the relative water peak area, corrected by the relative hydrogen index of the crude. In the case of biphasic mixtures of Mn2+‐doped water and crude oils, the best result of RMSECV = 1.6% was achieved by using the raw magnetization decay data for a partial least squares regression. Copyright © 2012 John Wiley & Sons, Ltd.
Analyzing low field NMR data coupled to partial least squares multivariate regression yields good results on phase quantification of crude oil‐water biphasic mixtures, not only when the time domain signals differ visually, but also with low errors when the hydrogen relaxation rates of both phases are extremely similar; the worst scenario for water‐cut measurements using this technique. |
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ISSN: | 0749-1581 1097-458X |
DOI: | 10.1002/mrc.2798 |