Improved Oil Viscosity Characterization by Low-Field NMR Using Feature Engineering and Supervised Learning Algorithms

Improved Oil Viscosity Characterization by Low-Field NMR Using Feature Engineering and Supervised Learning Algorithms

Conventional methods for determining and monitoring the viscosity of oils are time-consuming, expensive, and in some instances, technically unfeasible. These limitations can be avoided using low-field nuclear magnetic resonance (LF-NMR) relaxometry. However, due to the chemical dissimilarity of oils...

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Bibliographic Details
Main Authors: Markovic, Strahinja, Bryan, J.L., Ishimtsev, V., Turakhanov, A., Rezaee, Reza, Cheremisin, A., Kantzas, A., Koroteev, D., Mehta, S.A.
Format: Journal Article
Language:English
Published: AMER CHEMICAL SOC 2020
Subjects:
Science & Technology
Technology
Energy & Fuels
Engineering, Chemical
Engineering
HEAVY-OIL
PHYSICOCHEMICAL PROPERTIES
REGRESSION
BIODIESEL
SELECTION
BITUMEN
ERROR
Online Access:http://hdl.handle.net/20.500.11937/89559

Internet

http://hdl.handle.net/20.500.11937/89559

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