Abstract
Flash point (FP) and Reid vapor pressure (RVP) are physicochemical properties of crude oil that are used as safety and environmental parameters. In this paper, we propose a methodology for estimating the FP and RVP for crude oil by means of detailed hydrocarbon analysis (DHA) and high temperature gas chromatography (HTGC) associated with partial least squares (PLS) regression. These techniques were used due to their direct relationship to FP and RVP. We studied 107 crude oil samples (with an API gravity range of 11.4–54.0) collected from a Brazilian sedimentary basin. The curve data derived from these two techniques were merged to better describe the true boiling point curve. Using fusion information drawn from the two chromatographic techniques (DHA and HTGC), we estimated the flash point with an average error of 5.3 °C and a coefficient of determination of approximately 0.9. While the data fusion represents an information gain in the estimation of the flash point, for to estimate the Reid vapor pressure, the HTGC data are sufficient. The PLS regression generated the best Reid vapor pressure results, with an average error of 0.4 kPa and with a coefficient of determination of above 0.99.
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