Using machine learning-based variable selection to identify hydrate related components from FT-ICR MS spectra.

ABSTRACT: The blockages of pipelines caused by agglomeration of gas hydrates is a major flow assurance issue in the oil and gas industry. Some crude oils form gas hydrates that remain as transportable particles in a slurry. It is commonly believed that naturally occurring components in those crude oils alter the surface properties of gas hydrate particles when formed. The exact structure of the crude oil components responsible for this surface modification remains unknown. In this study, a successive accumulation and spiking of hydrate-active crude oil fractions was performed to increase the concentration of hydrate related compounds. Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR MS) was then utilised to analyse extracted oil samples for each spiking generation. Machine learnin

SUBMITTER: Gjelsvik EL 

PROVIDER: S-EPMC9385063 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature