Prediction of the distillation temperatures of crude oils using 1H NMR and support vector regression with estimated confidence intervals
Author:
Funder
CNPq, Brazil
Publisher
Elsevier BV
Subject
Analytical Chemistry
Reference41 articles.
1. Prediction of physical-chemical properties of crude oils by 1 H NMR analysis of neat samples and chemometrics
2. Partial Least-Squares (PLS) Correlation between Refined Product Yields and Physicochemical Properties with the 1H Nuclear Magnetic Resonance (NMR) Spectra of Colombian Crude Oils
3. Application of Low-Field NMR for the Determination of Physical Properties of Petroleum Fractions
4. Characterisation of heavy oils using near-infrared spectroscopy: Optimisation of pre-processing methods and variable selection
5. PLS regression on spectroscopic data for the prediction of crude oil quality: API gravity and aliphatic/aromatic ratio
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