Method for determining the acidity distribution curve of oils from the molecular composition of the crude oil
AssigneesPetroleo Brasileiro S.A. - Petrobras, Universidade Federal De GoiáS - Ufg
InventorsIRIS MEDEIROS JUNIOR, GABRIEL FRANCO DOS SANTOS, ALEXANDRE DE OLIVEIRA GOMES, BONIEK GONTIJO VAZ, GESIANE DA SILVA LIMA, DEBORAH VICTÓRIA ALVES DE AGUIAR, JUSSARA VALENTE ROQUE
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Abstract
The present disclosure refers to the use of very high resolution mass spectrometry analysis methodology in combination with the use of multivariate calibration models to predict Total Acidity Number (TAN). The models are built from data of total abundance value with the application of machine learning methods for regression.
Claims5
A method for determining the acidity distribution curve of oils from the molecular composition of crude oil, the method comprising:
- preparing crude oil samples;
- obtaining total abundance values by very high resolution mass spectrometry from crude oil samples;
- building multivariate calibration models;
- and
- comparing total acidity number (TAN) reference values with the values of the multivariate calibration models for TAN prediction.
Dependencies are inferred from the claim text.