In this study, low-field nuclear magnetic resonance (LF-NMR) relaxometry has been utilized, as a robust approach being non-destructive, for rapid characterization of crude oils. The NMR relaxometry relies on analyzing the dependencies of the molecular dynamics on the physicochemical properties of samples. The approach reported herein initially analyzes crude oils by standard American Society for Testing and Materials (ASTM) methods followed by a series of routine LF-NMR measurements. The entire workflow is facile to conduct and specially developed user-friendly software “trained” to yield the values of physical properties including kinematic viscosity, density, <sup>o</sup>API gravity, sulfur content, total acid number, refractive index, specific gravity, asphaltene content, microcarbon residue of crude oils using empirical correlations between the oil properties and experimental NMR relaxation values. Hence, several property values are obtained in a few minutes (after establishing the correlations) instead of days to complete a similar analysis using the conventional methods.

Fast categorization and identification of crude oil by low-field NMR relaxometry utilizing easy-to-use software

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