About this document

Modeling Crude Oil Properties with GC×GC by sukanta.chakrabartty14 is a document available to read on EtoBox.

This article discusses the use of comprehensive two-dimensional gas chromatography coupled with high-resolution mass spectrometry (GC×GC-HRMS) and chemometrics to predict ten important crude oil properties. The study analyzed 48 crude oil samples and successfully developed predictive models for parameters such as API gravity, wax content, and sulfur content, achieving determination coefficients ranging from 0.840 to 0.931. The findings suggest that GC×GC can effectively model multiple oil quality parameters

Author

sukanta.chakrabartty14

Language

EN