Maria F. P. Santos

Chloride determination by ion chromatography in petroleum coke after digestion by microwave-induced combustion

Microwave-induced combustion was applied to petroleum coke digestion in closed vessels for further chloride determination by ion chromatography. Samples were pressed as pellets and placed on a quartz holder. Combustion was performed using oxygen pressure of 2 MPa and 50 microl of 6 moll(-1) NH(4)NO(3) as aid for ignition. Recoveries from 97 to 102% were obtained for all studied absorbing solutions (water, H(2)O(2), Na(2)CO(3) or (NH(4))(2)CO(3)). Accuracy was evaluated using certified reference materials with agreement better than 98% using water as absorbing solution with reflux step. The limit of quantification was 3.8 microg g(-1).

Avaliação das incertezas associadas à determinação do parâmetro de solubilidade de Hildebrand de petróleos

Asphaltenes are fractions of crude oils that can precipitate and one of the parameters used in the prediction of the conditions in which this phenomenon occurs is the Hildebrand solubility parameter. In this work, it was evaluated the uncertainty propagation in the experimental determination of the solubility parameter of different crude oils, calculated from data of the asphaltenes precipitation by the addition of n-heptane, identified by optical microscopy. It was verified that the solubility parameter of an oil and the associated uncertainty are specific, being recommended that, whenever viable, it is determined parallel both, conferring higher credibility to the results.

Determination of Basic Nitrogen in Residues of Crude Oil Distillation Using ATR-FTIR and Chemometric Methods

A method for basic nitrogen determination in residues of crude oil distillation using infrared spectroscopy and chemometrics algorithms was developed. Interval partial least squares, synergy interval partial least squares, and backward interval partial least squares were evaluated for calibration model construction. The samples were divided into a calibration and prediction set containing 40 and 15 samples, respectively. The first derivative with a Savitzky-Golay filter and the mean centered data showed the best results and were used in all calibration models. The backward interval partial least squares algorithm with spectra divided in 60 intervals and combinations of 4 intervals (1407 to 1372; 1117 to 1082; 971 to 936; 914 to 879 cm−1) showed the best root mean square error of prediction of 0.016 wt%. This calibration model displayed a suitable correlation coefficient between reference and predicted values.