A method for predicting at least one property of an extra heavy oil test sample using an NMR instrument, wherein the at least one property comprises one or a combination of a solids content, boiling point information, and a micro carbon residue (MCR) content, the method comprising the steps of:
- (a) providing a plurality of extra heavy oil calibration samples, wherein each of the calibration samples has a reference value associated with each of the at least one property;
- (b) subjecting each of the calibration samples to a T1-weighted T2 low-field NMR pulse sequence, and simultaneously recording T1 and T2 relaxation information to generate a NMR calibration data set;
- (c) for each of the at least one property, determining a partial least squares (PLS) chemometric calibration model relating the NMR calibration data set to the reference values of the property of the calibration samples;
- (d) subjecting the test sample to the T1-weighted T2 low-field NMR pulse sequence, and simultaneously recording T1 and T2 relaxation information to generate NMR test data;
- and
- (e) predicting the at least one property of the test sample based on the PLS calibration model and the NMR test data.