Quantitative prediction of crude oil properties (eg API gravity, kinematic viscosity, sulfur
content) can be conducted using multivariate calibration models. The growth and the …

252 literature sources and about 5000 crude oil assays were reviewed in this work. The
review has shown that the petroleum characterization can be classified in three categories …

In this study a new, fast and simple method based on low field NMR-relaxometry for in-situ
determination of SARA (saturates, aromatics, resins and asphaltenes) composition of crude …

We report an application of a low-level data fusion for chemometric discrimination of crude
oil samples by usual classifications, based on the combination of data obtained by means of …

The determination of the quality and authenticity of olive oil becomes more and more
required by producers, consumers, and authorities to thwarter falsification. Several analytical …

In this study, attenuated total reflectance fourier transform mid-infrared (ATR-FTIR) spectral
information was used to classify gasoline samples according to their aliphatic to aromatic …

In operando observation of reaction intermediates is crucial for unraveling reaction
mechanisms. To address the sensitivity limitations of commercial ReactIR, a flow cell was …

Abstract Gross Calorific Value (GCV) is one of the properties to assess the quality and value
of fuel in the oil industry, but the standard method is laborious. Regression models built with …

Two data-driven approaches based on the Fourier-transform infrared spectroscopy (FTIR)
data are presented in this work to predict crude oil properties. The first approach is the …

Here, we combine angular search algorithm and variance inflation factor (ASA‐VIF) with
support vector regression (SVR)(ASA‐VIF‐SVR) to estimate total acid number (TAN), basic …