In recent years, artificial intelligence (AI) has been widely applied to optimization problems
in the petroleum exploration and production industry. This survey offers a detailed literature …

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

In the current research, an analytical method was proposed for rapid quantitative
determination of saturates, aromatics, resins and asphaltenes (SARA) fractions of crude oil …

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 …

The potential impact of fermentation on coffee quality has been the target of several scientific
studies. In this perspective, we present a design of different fermentation processes applied …

The chemical complexity of coffee influences the sensory evaluation of the beverage, the
main method used to define the quality of the coffee. In view of the subjectivity that method …

Random Forest (RF) technique has been shown to be promising in the supervised
classification applied in different matrices. However, approaches to identifying significant …

In this study, we introduce a simple protocol to manufacture disposable, 3D-printed
microfluidic systems for sample preparation of petroleum. This platform is produced with a …

The characterization of oils by the physicochemical properties analyses is the basis of the
industrial chain. Multivariate data analysis seeks to optimize this process through a …

Petroleum fuels play an important role in economic society, and near-infrared analysis has
been widely used in the characterization of petroleum fuels due to its effectiveness and …