SYSTEM AND METHOD FOR PREDICTING PARAMETER OF HYDROCARBON WITH SPECTROSCOPY AND NEURAL NETWORKS

A method for predicting parameters of hydrocarbons includes the steps of generating an NMR spectrum of a sample of a hydrocarbon having different hydrogen or carbon types related to structures or sample composition; dividing the NMR spectrum into regions corresponding to the different hydrogen or carbon types related to structures or sample composition; evaluating different spectral regions by either (i) determining average molecular parameters, and (ii) quantifying a signal intensity of said at least one region of said different regions, based upon a desired parameter to be predicted so as to provide spectrum extracted quantities; and applying the spectrum extracted quantities to a trained neural network trained to correlate spectrum extracted quantities with hydrocarbon parameters so as to predict the desired parameters from the spectrum extracted quantity. A system is also provided.