2020
DOI: 10.1016/j.fuel.2019.116955
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Application of low-field nuclear magnetic resonance to assess the onset of asphaltene precipitation in petroleum

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Cited by 17 publications
(14 citation statements)
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“…Different standard methods and instruments are used to determine these properties of liquid fuels . Standard methods are often time-consuming and laborious and have complex analytical procedures; additionally, these methods may need toxic and hazardous solvents, destroy the sample, and generate high costs. Because of the undeniable advantages of TD-NMR, specifically its rapidity, nondestructiveness, and noninvasiveness and the robust correlations of the NMR parameters with physical parameters, this technique is proposed as an alternative to standard analytical methods. …”
Section: Reviewmentioning
confidence: 99%
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“…Different standard methods and instruments are used to determine these properties of liquid fuels . Standard methods are often time-consuming and laborious and have complex analytical procedures; additionally, these methods may need toxic and hazardous solvents, destroy the sample, and generate high costs. Because of the undeniable advantages of TD-NMR, specifically its rapidity, nondestructiveness, and noninvasiveness and the robust correlations of the NMR parameters with physical parameters, this technique is proposed as an alternative to standard analytical methods. …”
Section: Reviewmentioning
confidence: 99%
“…The creation of a general model, however, is hardly possible because of the high variation in the physical and chemical properties of crude oils of different origins . On the other hand, it was shown that single-source crude oils can be classified into different qualities on the basis of their viscosity or API gravity calculated from T 2 and/or their relative hydrogen index (RHI) value. ,, Additionally, in one recent paper the asphaltene content and asphaltene precipitation in crude oils were measured by a unified approach for six crude oils (light, medium, and heavy) …”
Section: Reviewmentioning
confidence: 99%
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