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This study demonstrates the feasibility of using low-field nuclear magnetic resonance (LF-NMR) relaxometry for the identification and characterization of crude oils as an alternative and robust technique. In general, the NMR relaxometry is based on monitoring nuclear spin dynamics (molecular dynamics) and analyzing its dependencies on the physicochemical properties of samples. The approach reported in this study comprises the initial analysis of crude oils by several standard American Society for Testing and Materials (ASTM) methods followed by a series of routine LF-NMR measurements. The LF-NMR based method showed the following practical advantages: It is non-destructive, requires minimum sample preparation without hazardous solvents, which helps keeping analysis costs reasonably low. The NMR analysis itself is fast and takes a few seconds for a crude oil sample. The whole method workflow is simple and easy to perform in specially developed user-friendly software that was “trained” to determine physical properties including kinematic viscosity, density, oAPI 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.

Dr Salim Ok
Kuwait Institute for Scientific Research

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This page is a summary of: Rapid characterization of crude oil by NMR relaxation using new user-friendly software, Fuel, July 2022, Elsevier,
DOI: 10.1016/j.fuel.2022.123793.
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